This repository contains a collection of resources and papers on Diffusion Models.
- Resources
- Papers
⏩ DiffusionFastForward: 01-Diffusion-Theory
Mikolaj Czerkawski (@mikonvergence)
[Website]
4 Feb 2023
How diffusion models work: the math from scratch
Sergios Karagiannakos,Nikolas Adaloglou
[Website]
24 Sep 2022
A Path to the Variational Diffusion Loss
Alex Alemi
[Website] [Colab]
15 Sep 2022
The Annotated Diffusion Model
Niels Rogge, Kashif Rasul
[Website]
06 Jun 2022
The recent rise of diffusion-based models
Maciej Domagała
[Website]
06 Jun 2022
Introduction to Diffusion Models for Machine Learning
Ryan O'Connor
[Website]
12 May 2022
Improving Diffusion Models as an Alternative To GANs
Arash Vahdat and Karsten Kreis
[Website-Part 1] [Website-Part 2]
26 Apr 2022
An introduction to Diffusion Probabilistic Models
Ayan Das
[Website]
04 Dec 2021
Introduction to deep generative modeling: Diffusion-based Deep Generative Models
Jakub Tomczak
[Website]
30 Aug 2021
What are Diffusion Models?
Lilian Weng
[Website]
11 Jul 2021
Diffusion Models as a kind of VAE
Angus Turner
[Website]
29 Jun 2021
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
[Website]
5 May 2021
Understanding Diffusion Models: A Unified Perspective
Calvin Luo
arXiv 2022. [Paper]
25 Aug 2022
How to Train Your Energy-Based Models
Yang Song, Diederik P. Kingma
arXiv 2022. [Paper]
9 Jan 2021
⏩ DiffusionFastForward
Mikolaj Czerkawski (@mikonvergence)
[Video]
4 Mar 2023
Diffusion models from scratch in PyTorch
DeepFindr
[Video]
18 Jul 2022
Diffusion Models | Paper Explanation | Math Explained
Outlier
[Video]
6 Jun 2022
What are Diffusion Models?
Ari Seff
[Video]
20 Apr 2022
Diffusion models explained
AI Coffee Break with Letitia
[Video]
23 Mar 2022
Denoising Diffusion-based Generative Modeling: Foundations and Applications
Karsten Kreis, Ruiqi Gao, Arash Vahdat
[Page]
19 Jun 2022
Diffusion Probabilistic Models
Jascha Sohl-Dickstein, MIT 6.S192 - Lecture 22
[Video]
19 Apr 2022
⏩ DiffusionFastForward: train from scratch in colab
Mikolaj Czerkawski (@mikonvergence)
[Github]
[notebook]
diffusion-for-beginners
ozanciga
[Github]
Beyond Diffusion: What is Personalized Image Generation and How Can You Customize Image Synthesis?
J. Rafid Siddiqui
[Github] [Medium]
Diffusion_models_tutorial
FilippoMB
[Github]
ScoreDiffusionModel
JeongJiHeon
[Github]
Minimal implementation of diffusion models
VSehwag
[Github]
diffusion_tutorial
sunlin-ai
[Github]
Denoising diffusion probabilistic models
acids-ircam
[Github]
Centipede Diffusion
Zalring
[Notebook]
Deforum Stable Diffusion
deforum
[Notebook]
Stable Diffusion Interpolation
None
[Notebook]
Keras Stable Diffusion: GPU starter example
None
[Notebook]
Huemin Jax Diffusion
huemin-art
[Notebook]
Disco Diffusion
alembics
[Notebook]
Simplified Disco Diffusion
entmike
[Notebook]
WAS's Disco Diffusion - Portrait Generator Playground
WASasquatch
[Notebook]
Diffusers - Hugging Face
huggingface
[Notebook]
A Comprehensive Survey on Generative Diffusion Models for Structured Data
Heejoon Koo, To Eun Kim
arXiv 2023. [Paper]
7 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey
Ziyi Chang, George A. Koulieris, Hubert P. H. Shum
arXiv 2023. [Paper]
7 Jun 2023
Diffusion Models in NLP: A Survey
Hao Zou, Zae Myung Kim, Dongyeop Kang
arXiv 2023. [Paper]
24 May 2023
Diffusion Models for Time Series Applications: A Survey
Lequan Lin, Zhengkun Li, Ruikun Li, Xuliang Li, Junbin Gao
arXiv 2023. [Paper]
1 May 2023
A Comprehensive Survey on Knowledge Distillation of Diffusion Models
Weijian Luo
arXiv 2023. [Paper]
9 Apr 2023
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material
Mengchun Zhang, Maryam Qamar, Taegoo Kang, Yuna Jung, Chenshuang Zhang, Sung-Ho Bae, Chaoning Zhang
arXiv 2023. [Paper]
4 Apr 2023
Audio Diffusion Model for Speech Synthesis: A Survey on Text To Speech and Speech Enhancement in Generative AI
Chenshuang Zhang, Chaoning Zhang, Sheng Zheng, Mengchun Zhang, Maryam Qamar, Sung-Ho Bae, In So Kweon
arXiv 2023. [Paper]
23 Mar 2023
Diffusion Models in NLP: A Survey
Yuansong Zhu, Yu Zhao
arXiv 2023. [Paper]
14 Mar 2023
Text-to-image Diffusion Model in Generative AI: A Survey
Chenshuang Zhang, Chaoning Zhang, Mengchun Zhang, In So Kweon
arXiv 2023. [Paper]
14 Mar 2023
Diffusion Models for Non-autoregressive Text Generation: A Survey
Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen
arXiv 2023. [Paper]
12 Mar 2023
Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action
Zhiye Guo, Jian Liu, Yanli Wang, Mengrui Chen, Duolin Wang, Dong Xu, Jianlin Cheng
arXiv 2023. [Paper]
13 Feb 2023
Generative Diffusion Models on Graphs: Methods and Applications
Wenqi Fan, Chengyi Liu, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li
arXiv 2023. [Paper]
6 Feb 2023
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, Reza Azad, Mohsen Fayyaz, Ilker Hacihaliloglu, Dorit Merhof
arXiv 2022. [Paper] [Github]
14 Nov 2022
Efficient Diffusion Models for Vision: A Survey
Anwaar Ulhaq, Naveed Akhtar, Ganna Pogrebna
arXiv 2022. [Paper]
7 Oct 2022
Diffusion Models in Vision: A Survey
Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah
arXiv 2022. [Paper]
10 Sep 2022
A Survey on Generative Diffusion Model
Hanqun Cao, Cheng Tan, Zhangyang Gao, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li
arXiv 2022. [Paper]
6 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang, Zhilong Zhang, Shenda Hong, Wentao Zhang
arXiv 2022. [Paper]
2 Sep 2022
Synthesis of Batik Motifs using a Diffusion -- Generative Adversarial Network
One Octadion, Novanto Yudistira, Diva Kurnianingtyas
arXiv 2023. [Paper]
22 Jul 2023
DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport
Zezeng Li, ShengHao Li, Zhanpeng Wang, Na Lei, Zhongxuan Luo, Xianfeng Gu
arXiv 2023. [Paper] [Github]
21 Jul 2023
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts
Suttisak Wizadwongsa, Worameth Chinchuthakun, Pramook Khungurn, Amit Raj, Supasorn Suwajanakorn
arXiv 2023. [Paper]
20 Jul 2023
Flow Matching in Latent Space
Quan Dao, Hao Phung, Binh Nguyen, Anh Tran
arXiv 2023. [Paper] [Project]
17 Jul 2023
Manifold-Guided Sampling in Diffusion Models for Unbiased Image Generation
Xingzhe Su, Wenwen Qiang, Zeen Song, Hang Gao, Fengge Wu, Changwen Zheng
arXiv 2023. [Paper]
17 Jul 2023
Complexity Matters: Rethinking the Latent Space for Generative Modeling
Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li
arXiv 2023. [Paper]
17 Jul 2023
Collaborative Score Distillation for Consistent Visual Synthesis
Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
arXiv 2023. [Paper] [Project] [Github]
4 Jul 2023
ProtoDiffusion: Classifier-Free Diffusion Guidance with Prototype Learning
Gulcin Baykal, Halil Faruk Karagoz, Taha Binhuraib, Gozde Unal
arXiv 2023. [Paper]
4 Jul 2023
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, Robin Rombach
arXiv 2023. [Paper] [Github]
4 Jul 2023
Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation
Tserendorj Adiya, Sanghun Kim, Jung Eun Lee, Jae Shin Yoon, Hwasup Lim
arXiv 2023. [Paper]
2 Jul 2023
Spiking Denoising Diffusion Probabilistic Models
Jiahang Cao, Ziqing Wang, Hanzhong Guo, Hao Cheng, Qiang Zhang, Renjing Xu
arXiv 2023. [Paper]
29 Jun 2023
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data
Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan
arXiv 2023. [Paper]
25 Jun 2023
Decoupled Diffusion Models with Explicit Transition Probability
Yuhang Huang, Zheng Qin, Xinwang Liu, Kai Xu
arXiv 2023. [Paper]
23 Jun 2023
Continuous Layout Editing of Single Images with Diffusion Models
Zhiyuan Zhang, Zhitong Huang, Jing Liao
arXiv 2023. [Paper]
22 Jun 2023
Semi-Implicit Denoising Diffusion Models (SIDDMs)
Yanwu Xu, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, kayhan Batmanghelich, Tingbo Hou
arXiv 2023. [Paper]
21 Jun 2023
Eliminating Lipschitz Singularities in Diffusion Models
Zhantao Yang, Ruili Feng, Han Zhang, Yujun Shen, Kai Zhu, Lianghua Huang, Yifei Zhang, Yu Liu, Deli Zhao, Jingren Zhou, Fan Cheng
arXiv 2023. [Paper]
20 Jun 2023
GD-VDM: Generated Depth for better Diffusion-based Video Generation
Ariel Lapid, Idan Achituve, Lior Bracha, Ethan Fetaya
arXiv 2023. [Paper]
19 Jun 2023
Image Harmonization with Diffusion Model
Jiajie Li, Jian Wang, Chen Wang, Jinjun Xiong
arXiv 2023. [Paper]
17 Jun 2023
Training Diffusion Classifiers with Denoising Assistance
Chandramouli Sastry, Sri Harsha Dumpala, Sageev Oore
arXiv 2023. [Paper]
15 Jun 2023
Conditional Human Sketch Synthesis with Explicit Abstraction Control
Dar-Yen Chen
arXiv 2023. [Paper]
15 Jun 2023
Fast Training of Diffusion Models with Masked Transformers
Hongkai Zheng, Weili Nie, Arash Vahdat, Anima Anandkumar
arXiv 2023. [Paper] [Github]
15 Jun 2023
Relation-Aware Diffusion Model for Controllable Poster Layout Generation
Fengheng Li, An Liu, Wei Feng, Honghe Zhu, Yaoyu Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junjie Shen, Zhangang Lin, Jingping Shao
arXiv 2023. [Paper]
15 Jun 2023
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang
arXiv 2023. [Paper]
15 Jun 2023
DORSal: Diffusion for Object-centric Representations of Scenes
Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom, Mehdi S. M. Sajjadi, Thomas Kipf
arXiv 2023. [Paper]
13 Jun 2023
Fast Diffusion Model
Zike Wu, Pan Zhou, Kenji Kawaguchi, Hanwang Zhang
arXiv 2023. [Paper] [Github]
12 Jun 2023
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
Changyao Tian, Chenxin Tao, Jifeng Dai, Hao Li, Ziheng Li, Lewei Lu, Xiaogang Wang, Hongsheng Li, Gao Huang, Xizhou Zhu
arXiv 2023. [Paper]
8 Jun 2023
Multi-Architecture Multi-Expert Diffusion Models
Yunsung Lee, Jin-Young Kim, Hyojun Go, Myeongho Jeong, Shinhyeok Oh, Seungtaek Choi
arXiv 2023. [Paper]
8 Jun 2023
Interpreting and Improving Diffusion Models Using the Euclidean Distance Function
Frank Permenter, Chenyang Yuan
arXiv 2023. [Paper]
8 Jun 2023
Video Diffusion Models with Local-Global Context Guidance
Siyuan Yang, Lu Zhang, Yu Liu, Zhizhuo Jiang, You He
IJCAI 2023. [Paper] [Github]
5 Jun 2023
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models
Andrew F. Luo, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr
arXiv 2023. [Paper]
5 Jun 2023
Faster Training of Diffusion Models and Improved Density Estimation via Parallel Score Matching
Etrit Haxholli, Marco Lorenzi
arXiv 2023. [Paper]
5 Jun 2023
Temporal Dynamic Quantization for Diffusion Models
Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park
arXiv 2023. [Paper]
4 Jun 2023
Conditional Generation from Unconditional Diffusion Models using Denoiser Representations
Alexandros Graikos, Srikar Yellapragada, Dimitris Samaras
arXiv 2023. [Paper]
2 Jun 2023
Conditioning Diffusion Models via Attributes and Semantic Masks for Face Generation
Nico Giambi, Giuseppe Lisanti
arXiv 2023. [Paper]
1 Jun 2023
Differential Diffusion: Giving Each Pixel Its Strength
Eran Levin, Ohad Fried
arXiv 2023. [Paper]
1 Jun 2023
Addressing Discrepancies in Semantic and Visual Alignment in Neural Networks
Natalie Abreu, Nathan Vaska, Victoria Helus
arXiv 2023. [Paper]
1 Jun 2023
Addressing Negative Transfer in Diffusion Models
Hyojun Go, JinYoung Kim, Yunsung Lee, Seunghyun Lee, Shinhyeok Oh, Hyeongdon Moon, Seungtaek Choi
arXiv 2023. [Paper]
1 Jun 2023
A Geometric Perspective on Diffusion Models
Defang Chen, Zhenyu Zhou, Jian-Ping Mei, Chunhua Shen, Chun Chen, Can Wang
arXiv 2023. [Paper]
31 May 2023
Spontaneous symmetry breaking in generative diffusion models
Gabriel Raya, Luca Ambrogioni
arXiv 2023. [Paper]
31 May 2023
Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification
Yifei Liu, Rex Shen, Xiaotong Shen
arXiv 2023. [Paper]
30 May 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone
arXiv 2023. [Paper]
30 May 2023
Ambient Diffusion: Learning Clean Distributions from Corrupted Data
Giannis Daras, Kulin Shah, Yuval Dagan, Aravind Gollakota, Alexandros G. Dimakis, Adam Klivans
arXiv 2023. [Paper]
30 May 2023
Towards Accurate Data-free Quantization for Diffusion Models
Changyuan Wang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu
arXiv 2023. [Paper]
30 May 2023
BRIGHT: Bi-level Feature Representation of Image Collections using Groups of Hash Tables
Dingdong Yang, Yizhi Wang, Ali Mahdavi-Amiri, Hao Zhang
arXiv 2023. [Paper] [Project]
29 May 2023
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang
arXiv 2023. [Paper]
29 May 2023
Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling
Tianqi Chen, Mingyuan Zhou
ICML 2023. [Paper] [Github]
28 May 2023
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors
Paul S. Scotti, Atmadeep Banerjee, Jimmie Goode, Stepan Shabalin, Alex Nguyen, Ethan Cohen, Aidan J. Dempster, Nathalie Verlinde, Elad Yundler, David Weisberg, Kenneth A. Norman, Tanishq Mathew Abraham
arXiv 2023. [Paper] [Github]
29 May 2023
Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities
Jingyuan Sun, Mingxiao Li, Zijiao Chen, Yunhao Zhang, Shaonan Wang, Marie-Francine Moens
arXiv 2023. [Paper]
26 May 2023
Parallel Sampling of Diffusion Models
Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari
arXiv 2023. [Paper] [Github]
25 May 2023
Trans-Dimensional Generative Modeling via Jump Diffusion Models
Andrew Campbell, William Harvey, Christian Weilbach, Valentin De Bortoli, Tom Rainforth, Arnaud Doucet
arXiv 2023. [Paper]
25 May 2023
UDPM: Upsampling Diffusion Probabilistic Models
Shady Abu-Hussein, Raja Giryes
arXiv 2023. [Paper]
25 May 2023
Unifying GANs and Score-Based Diffusion as Generative Particle Models
Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy
arXiv 2023. [Paper]
25 May 2023
DuDGAN: Improving Class-Conditional GANs via Dual-Diffusion
Taesun Yeom, Minhyeok Lee
arXiv 2023. [Paper]
24 May 2023
Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps
Mingxiao Li, Tingyu Qu, Wei Sun, Marie-Francine Moens
arXiv 2023. [Paper]
24 May 2023
Robust Classification via a Single Diffusion Model
Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu
arXiv 2023. [Paper]
24 May 2023
On the Generalization of Diffusion Model
Mingyang Yi, Jiacheng Sun, Zhenguo Li
arXiv 2023. [Paper]
24 May 2023
VDT: An Empirical Study on Video Diffusion with Transformers
Haoyu Lu, Guoxing Yang, Nanyi Fei, Yuqi Huo, Zhiwu Lu, Ping Luo, Mingyu Ding
arXiv 2023. [Paper] [Github]
22 May 2023
Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity
Zijiao Chen, Jiaxin Qing, Juan Helen Zhou
arXiv 2023. [Paper] [Project]
19 May 2023
PTQD: Accurate Post-Training Quantization for Diffusion Models
Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
arXiv 2023. [Paper]
18 May 2023
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
Javier E Santos, Zachary R. Fox, Nicholas Lubbers, Yen Ting Lin
arXiv 2023. [Paper]
18 May 2023
Structural Pruning for Diffusion Models
Gongfan Fang, Xinyin Ma, Xinchao Wang
arXiv 2023. [Paper] [Github]
18 May 2023
Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling
Shitong Shao, Xu Dai, Shouyi Yin, Lujun Li, Huanran Chen, Yang Hu
arXiv 2023. [Paper]
18 May 2023
Controllable Mind Visual Diffusion Model
Bohan Zeng, Shanglin Li, Xuhui Liu, Sicheng Gao, Xiaolong Jiang, Xu Tang, Yao Hu, Jianzhuang Liu, Baochang Zhang
arXiv 2023. [Paper]
17 May 2023
Analyzing Bias in Diffusion-based Face Generation Models
Malsha V. Perera, Vishal M. Patel
arXiv 2023. [Paper]
10 May 2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs
Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu
ICML 2023. [Paper]
6 May 2023
LEO: Generative Latent Image Animator for Human Video Synthesis
Yaohui Wang, Xin Ma, Xinyuan Chen, Antitza Dantcheva, Bo Dai, Yu Qiao
arXiv 2023. [Paper] [Project] [Github]
6 May 2023
Iterative α-(de)Blending: a Minimalist Deterministic Diffusion Model
Eric Heitz, Laurent Belcour, Thomas Chambon
SIGGRAPH 2023. [Paper]
5 May 2023
Reconstructing seen images from human brain activity via guided stochastic search
Reese Kneeland, Jordyn Ojeda, Ghislain St-Yves, Thomas Naselaris
arXiv 2023. [Paper]
30 Apr 2023
Motion-Conditioned Diffusion Model for Controllable Video Synthesis
Tsai-Shien Chen, Chieh Hubert Lin, Hung-Yu Tseng, Tsung-Yi Lin, Ming-Hsuan Yang
arXiv 2023. [Paper] [Project]
27 Apr 2023
Score-based Generative Modeling Through Backward Stochastic Differential Equations: Inversion and Generation
Zihao Wang
arXiv 2023. [Paper]
26 Apr 2023
Exploring Compositional Visual Generation with Latent Classifier Guidance
Changhao Shi, Haomiao Ni, Kai Li, Shaobo Han, Mingfu Liang, Martin Renqiang Min
CVPR Workshop 2023. [Paper]
25 Apr 2023
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
arXiv 2023. [Paper]
25 Apr 2023
Variational Diffusion Auto-encoder: Deep Latent Variable Model with Unconditional Diffusion Prior
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb
arXiv 2023. [Paper]
24 Apr 2023
LaMD: Latent Motion Diffusion for Video Generation
Yaosi Hu, Zhenzhong Chen, Chong Luo
arXiv 2023. [Paper]
23 Apr 2023
Lookahead Diffusion Probabilistic Models for Refining Mean Estimation
Guoqiang Zhang, Niwa Kenta, W. Bastiaan Kleijn
CVPR 2023. [Paper] [Github]
22 Apr 2023
NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models
Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler
CVPR 2023. [Paper]
19 Apr 2023
Attributing Image Generative Models using Latent Fingerprints
Guangyu Nie, Changhoon Kim, Yezhou Yang, Yi Ren
arXiv 2023. [Paper]
17 Apr 2023
Identity Encoder for Personalized Diffusion
Yu-Chuan Su, Kelvin C.K. Chan, Yandong Li, Yang Zhao, Han Zhang, Boqing Gong, Huisheng Wang, Xuhui Jia
arXiv 2023. [Paper]
14 Apr 2023
Memory Efficient Diffusion Probabilistic Models via Patch-based Generation
Shinei Arakawa, Hideki Tsunashima, Daichi Horita, Keitaro Tanaka, Shigeo Morishima
arXiv 2023. [Paper]
14 Apr 2023
DCFace: Synthetic Face Generation with Dual Condition Diffusion Model
Minchul Kim, Feng Liu, Anil Jain, Xiaoming Liu
arXiv 2023. [Paper] [Github]
14 Apr 2023
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning
Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li
arXiv 2023. [Paper]
13 Apr 2023
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment
Hanze Dong, Wei Xiong, Deepanshu Goyal, Rui Pan, Shizhe Diao, Jipeng Zhang, Kashun Shum, Tong Zhang
arXiv 2023. [Paper]
13 Apr 2023
DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion
Johanna Karras, Aleksander Holynski, Ting-Chun Wang, Ira Kemelmacher-Shlizerman
arXiv 2023. [Paper] [Project] [Github]
12 Apr 2023
Reflected Diffusion Models
Aaron Lou, Stefano Ermon
ICML 2023. [Paper] [Project] [Github]
10 Apr 2023
Binary Latent Diffusion
Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu
arXiv 2023. [Paper]
10 Apr 2023
Diffusion Models as Masked Autoencoders
Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan Yuille, Christoph Feichtenhofer
arXiv 2023. [Paper] [Project]
6 Apr 2023
Few-shot Semantic Image Synthesis with Class Affinity Transfer
Marlène Careil, Jakob Verbeek, Stéphane Lathuilière
CVPR 2023. [Paper]
5 Apr 2023
EGC: Image Generation and Classification via a Diffusion Energy-Based Model
Qiushan Guo, Chuofan Ma, Yi Jiang, Zehuan Yuan, Yizhou Yu, Ping Luo
arxiv 2023. [Paper] [Project]
4 Apr 2023
Token Merging for Fast Stable Diffusion
Daniel Bolya, Judy Hoffman
arXiv 2023. [Paper] [Github]
30 Mar 2023
A Closer Look at Parameter-Efficient Tuning in Diffusion Models
Chendong Xiang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu
arXiv 2023. [Paper]
31 Mar 2023
-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
Sam Bond-Taylor, Chris G. Willcocks
arXiv 2023. [Paper]
31 Mar 2023
3D-aware Image Generation using 2D Diffusion Models
Jianfeng Xiang, Jiaolong Yang, Binbin Huang, Xin Tong
arXiv 2023. [Paper] [Project]
31 Mar 2023
Consistent View Synthesis with Pose-Guided Diffusion Models
Hung-Yu Tseng, Qinbo Li, Changil Kim, Suhib Alsisan, Jia-Bin Huang, Johannes Kopf
CVPR 2023. [Paper]
30 Mar 2023
DiffCollage: Parallel Generation of Large Content with Diffusion Models
Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu
CVPR 2023. [Paper] [Project]
30 Mar 2023
Masked Diffusion Transformer is a Strong Image Synthesizer
Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan
arXiv 2023. [Paper] [Github]
25 Mar 2023
Conditional Image-to-Video Generation with Latent Flow Diffusion Models
Haomiao Ni, Changhao Shi, Kai Li, Sharon X. Huang, Martin Renqiang Min
CVPR 2023. [Paper] [Github]
24 Mar 2023
NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation
Shengming Yin, Chenfei Wu, Huan Yang, Jianfeng Wang, Xiaodong Wang, Minheng Ni, Zhengyuan Yang, Linjie Li, Shuguang Liu, Fan Yang, Jianlong Fu, Gong Ming, Lijuan Wang, Zicheng Liu, Houqiang Li, Nan Duan
arXiv 2023. [Paper] [Project]
22 Mar 2023
Object-Centric Slot Diffusion
Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn
arXiv 2023. [Paper]
20 Mar 2023
LDMVFI: Video Frame Interpolation with Latent Diffusion Models
Duolikun Danier, Fan Zhang, David Bull
arXiv 2023. [Paper]
16 Mar 2023
Efficient Diffusion Training via Min-SNR Weighting Strategy
Tiankai Hang, Shuyang Gu, Chen Li, Jianmin Bao, Dong Chen, Han Hu, Xin Geng, Baining Guo
arXiv 2023. [Paper]
16 Mar 2023
VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation
CVPR 2023. [Paper]
15 Mar 2023
Interpretable ODE-style Generative Diffusion Model via Force Field Construction
Weiyang Jin, Yongpei Zhu, Yuxi Peng
arXiv 2023. [Paper]
14 Mar 2023
Regularized Vector Quantization for Tokenized Image Synthesis
Jiahui Zhang, Fangneng Zhan, Christian Theobalt, Shijian Lu
arXiv 2023. [Paper]
11 Mar 2023
PARASOL: Parametric Style Control for Diffusion Image Synthesis
Gemma Canet Tarrés, Dan Ruta, Tu Bui, John Collomosse
arXiv 2023. [Paper]
11 Mar 2023
Brain-Diffuser: Natural scene reconstruction from fMRI signals using generative latent diffusion
Furkan Ozcelik, Rufin VanRullen
arXiv 2023. [Paper]
9 Mar 2023
Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation
Paul Hagemann, Lars Ruthotto, Gabriele Steidl, Nicole Tianjiao Yang
arXiv 2023. [Paper]
8 Mar 2023
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation
David Berthelot, Arnaud Autef, Jierui Lin, Dian Ang Yap, Shuangfei Zhai, Siyuan Hu, Daniel Zheng, Walter Talbott, Eric Gu
arXiv 2023. [Paper]
7 Mar 2023
Generative Diffusions in Augmented Spaces: A Complete Recipe
Kushagra Pandey, Stephan Mandt
arXiv 2023. [Paper]
3 Mar 2023
Consistency Models
Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever
arXiv 2023. [Paper]
2 Mar 2023
Diffusion Probabilistic Fields
Peiye Zhuang, Samira Abnar, Jiatao Gu, Alex Schwing, Joshua M. Susskind, Miguel Ángel Bautista
ICLR 2023. [Paper]
1 Mar 2023
Unsupervised Discovery of Semantic Latent Directions in Diffusion Models
Yong-Hyun Park, Mingi Kwon, Junghyo Jo, Youngjung Uh
arXiv 2023. [Paper]
24 Feb 2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Grathwohl
arXiv 2023. [Paper] [Project]
22 Feb 2023
Learning 3D Photography Videos via Self-supervised Diffusion on Single Images
Xiaodong Wang, Chenfei Wu, Shengming Yin, Minheng Ni, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Fan Yang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan
arXiv 2023. [Paper]
21 Feb 2023
On Calibrating Diffusion Probabilistic Models
Tianyu Pang, Cheng Lu, Chao Du, Min Lin, Shuicheng Yan, Zhijie Deng
arXiv 2023. [Paper] [Github]
21 Feb 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu
arXiv 2023. [Paper]
21 Feb 2023
Cross-domain Compositing with Pretrained Diffusion Models
Roy Hachnochi, Mingrui Zhao, Nadav Orzech, Rinon Gal, Ali Mahdavi-Amiri, Daniel Cohen-Or, Amit Haim Bermano
arXiv 2023. [Paper] [Github]
20 Feb 2023
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Jaemoo Choi, Yesom Park, Myungjoo Kang
arXiv 2023. [Paper]
20 Feb 2023
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent
Giannis Daras, Yuval Dagan, Alexandros G. Dimakis, Constantinos Daskalakis
arXiv 2023. [Paper] [Github]
17 Feb 2023
LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation
Jiaxin Cheng, Xiao Liang, Xingjian Shi, Tong He, Tianjun Xiao, Mu Li
arXiv 2023. [Paper]
16 Feb 2023
Video Probabilistic Diffusion Models in Projected Latent Space
Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin
arXiv 2023. [Paper] [Github]
15 Feb 2023
DiffFaceSketch: High-Fidelity Face Image Synthesis with Sketch-Guided Latent Diffusion Model
Yichen Peng, Chunqi Zhao, Haoran Xie, Tsukasa Fukusato, Kazunori Miyata
arXiv 2023. [Paper]
14 Feb 2023
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions
Raghav Singhal, Mark Goldstein, Rajesh Ranganath
arXiv 2023. [Paper]
14 Feb 2023
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Li Zhang, Hengyuan Ma, Xiatian Zhu, Jianfeng Feng
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13 Feb 2023
Star-Shaped Denoising Diffusion Probabilistic Models
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arXiv 2023. [Paper]
10 Feb 2023
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models
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arXiv 2023. [Paper] [Project] [Github]
9 Feb 2023
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arXiv 2023. [Paper]
9 Feb 2023
Q-Diffusion: Quantizing Diffusion Models
Xiuyu Li, Long Lian, Yijiang Liu, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer
arXiv 2023. [Paper]
8 Feb 2023
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models
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8 Feb 2023
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7 Feb 2023
Spatial Functa: Scaling Functa to ImageNet Classification and Generation
Matthias Bauer, Emilien Dupont, Andy Brock, Dan Rosenbaum, Jonathan Schwarz, Hyunjik Kim
arXiv 2023. [Paper]
6 Feb 2023
ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories
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AAAI 2023. [Paper]
5 Feb 2023
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5 Feb 2023
Stable Target Field for Reduced Variance Score Estimation in Diffusion Models
Yilun Xu, Shangyuan Tong, Tommi Jaakkola
ICLR 2023. [Paper] [Github]
1 Feb 2023
DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
Tao Yang, Yuwang Wang, Yan Lv, Nanning Zheng
arXiv 2023. [Paper]
31 Jan 2023
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Ying Fan, Kangwook Lee
arXiv 2023. [Paper]
31 Jan 2023
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Kamil Deja, Tomasz Trzcinski, Jakub M. Tomczak
arXiv 2023. [Paper]
31 Jan 2023
ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models
Shengmeng Li, Luping Liu, Zenghao Chai, Runnan Li, Xu Tan
arXiv 2023. [Paper]
30 Jan 2023
Don't Play Favorites: Minority Guidance for Diffusion Models
Soobin Um, Jong Chul Ye
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29 Jan 2023
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods
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ICLR 2023. [Paper]
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27 Jan 2023
Minimizing Trajectory Curvature of ODE-based Generative Models
Sangyun Lee, Beomsu Kim, Jong Chul Ye
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27 Jan 2023
On the Importance of Noise Scheduling for Diffusion Models
Ting Chen
arXiv 2023. [Paper]
26 Jan 2023
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Emiel Hoogeboom, Jonathan Heek, Tim Salimans
arXiv 2023. [Paper]
26 Jan 2023
Fast Inference in Denoising Diffusion Models via MMD Finetuning
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19 Jan 2023
Exploring Transformer Backbones for Image Diffusion Models
Princy Chahal
arXiv 2022. [Paper]
27 Dec 2022
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Zijian Zhang, Zhou Zhao, Zhijie Lin
arXiv 2022. [Paper]
26 Dec 2022
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Allan Jabri, David Fleet, Ting Chen
arXiv 2022. [Paper]
22 Dec 2022
Hierarchically branched diffusion models for efficient and interpretable multi-class conditional generation
Alex M. Tseng, Tommaso Biancalani, Max Shen, Gabriele Scalia
arXiv 2022. [Paper]
21 Dec 2022
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
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arXiv 2022. [Paper] [Github]
19 Dec 2022
Scalable Diffusion Models with Transformers
William Peebles, Saining Xie
arXiv 2022. [Paper] [Project] [Github]
19 Dec 2022
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models
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17 Dec 2022
Towards Practical Plug-and-Play Diffusion Models
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arXiv 2022. [Paper]
12 Dec 2022
Semantic Brain Decoding: from fMRI to conceptually similar image reconstruction of visual stimuli
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arXiv 2022. [Paper]
13 Dec 2022
MAGVIT: Masked Generative Video Transformer
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10 Dec 2022
Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding
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arXiv 2022. [Paper]
6 Dec 2022
Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models
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arXiv 2022. [Paper]
5 Dec 2022
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Kangfu Mei, Vishal M. Patel
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1 Dec 2022
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Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu
arXiv 2022. [Paper]
1 Dec 2022
High-Fidelity Guided Image Synthesis with Latent Diffusion Models
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30 Nov 2022
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arXiv 2022. [Paper]
30 Nov 2022
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Hao Phung, Quan Dao, Anh Tran
arXiv 2022. [Paper]
29 Nov 2022
Dimensionality-Varying Diffusion Process
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arXiv 2022. [Paper]
29 Nov 2022
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
Dongjun Kim, Yeongmin Kim, Wanmo Kang, Il-Chul Moon
arXiv 2022. [Paper]
28 Nov 2022
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Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang
arXiv 2022. [Paper]
27 Nov 2022
Fast Sampling of Diffusion Models via Operator Learning
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arXiv 2022. [Paper]
24 Nov 2022
Latent Video Diffusion Models for High-Fidelity Video Generation with Arbitrary Lengths
Yingqing He, Tianyu Yang, Yong Zhang, Ying Shan, Qifeng Chen
arXiv 2022. [Paper]
23 Nov 2022
Paint by Example: Exemplar-based Image Editing with Diffusion Models
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arXiv 2022. [Paper]
23 Nov 2022
SinDiffusion: Learning a Diffusion Model from a Single Natural Image
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arXiv 2022. [Paper] [Github]
22 Nov 2022
Accelerating Diffusion Sampling with Classifier-based Feature Distillation
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arXiv 2022. [Paper]
22 Nov 2022
SceneComposer: Any-Level Semantic Image Synthesis
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arXiv 2022. [Paper] [Project]
21 Nov 2022
Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training
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arXiv 2022. [Paper]
21 Nov 2022
SinFusion: Training Diffusion Models on a Single Image or Video
Yaniv Nikankin, Niv Haim, Michal Irani
arXiv 2022. [Paper]
21 Nov 2022
MagicVideo: Efficient Video Generation With Latent Diffusion Models
Daquan Zhou, Weimin Wang, Hanshu Yan, Weiwei Lv, Yizhe Zhu, Jiashi Feng
arXiv 2022. [Paper] [Project]
20 Nov 2022
Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding
Zijiao Chen, Jiaxin Qing, Tiange Xiang, Wan Lin Yue, Juan Helen Zhou
arXiv 2022. [Paper] [Project] [Github]
13 Nov 2022
Few-shot Image Generation with Diffusion Models
Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan
arXiv 2022. [Paper]
7 Nov 2022
From Denoising Diffusions to Denoising Markov Models
Joe Benton, Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
arXiv 2022. [Paper] [Github]
7 Nov 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
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NeurIPS 2022. [Paper] [Github]
4 Nov 2022
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Julius Berner, Lorenz Richter, Karen Ullrich
NeurIPS Workshop 2022. [Paper]
2 Nov 2022
Entropic Neural Optimal Transport via Diffusion Processes
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arXiv 2022. [Paper]
2 Nov 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
NeurIPS 2022 (Oral). [Paper] [Github]
2 Nov 2022
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Vikram Voleti, Christopher Pal, Adam Oberman
NeurIPS Workshop 2022. [Paper]
21 Oct 2022
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Ashwini Pokle, Zhengyang Geng, Zico Kolter
NeurIPS 2022. [Paper] [Github]
23 Oct 2022
Representation Learning with Diffusion Models
Jeremias Traub
arXiv 2022. [Paper] [Github]
20 Oct 2022
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Vincent Tao Hu, David W Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek
arXiv 2022. [Paper] [Project]
12 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn, Arash Vahdat, Karsten Kreis
NeurIPS 2022. [Paper] [Project [Github]
11 Oct 2022
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Angel Bautista, Josh Susskind
arXiv 2022. [Paper] [Project]
10 Oct 2022
On Distillation of Guided Diffusion Models
Chenlin Meng, Ruiqi Gao, Diederik P. Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans
arXiv 2022. [Paper]
6 Oct 2022
Improving Sample Quality of Diffusion Model Using Self-Attention Guidance
Susung Hong, Gyuseong Lee, Wooseok Jang, Seungryong Kim
arXiv 2022. [Paper] [Project]
3 Oct 2022
OCD: Learning to Overfit with Conditional Diffusion Models
Shahar Shlomo Lutati, Lior Wolf
arXiv 2022. [Paper] [Github]
2 Oct 2022
Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2
Ali Borji
arXiv 2022. [Paper] [Github]
2 Oct 2022
Denoising MCMC for Accelerating Diffusion-Based Generative Models
Beomsu Kim, Jong Chul Ye
arXiv 2022. [Paper] [Github]
29 Sep 2022
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Fan Bao, Chongxuan Li, Yue Cao, Jun Zhu
arXiv 2022. [Paper]
25 Sep 2022
Neural Wavelet-domain Diffusion for 3D Shape Generation
Ka-Hei Hui, Ruihui Li, Jingyu Hu, Chi-Wing Fu
arXiv 2022. [Paper]
19 Sep 2022
Can segmentation models be trained with fully synthetically generated data?
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arXiv 2022. [Paper]
17 Sep 2022
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Emiel Hoogeboom, Tim Salimans
arXiv 2022. [Paper]
12 Sep 2022
Soft Diffusion: Score Matching for General Corruptions
Giannis Daras, Mauricio Delbracio, Hossein Talebi, Alexandros G. Dimakis, Peyman Milanfar
arXiv 2022. [Paper]
12 Sep 2022
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José Lezama, Huiwen Chang, Lu Jiang, Irfan Essa
arXiv 2022. [Paper]
9 Sep 2022
Let us Build Bridges: Understanding and Extending Diffusion Generative Models
Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu
arXiv 2022. [Paper]
31 Aug 2022
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Wan-Cyuan Fan, Yen-Chun Chen, DongDong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang
arXiv 2022. [Paper]
29 Aug 2022
Adaptively-Realistic Image Generation from Stroke and Sketch with Diffusion Model
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arXiv 2022. [Paper] [Project]
26 Aug 2022
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
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19 Aug 2022
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Bahjat Kawar, Roy Ganz, Michael Elad
arXiv 2022. [Paper]
18 Aug 2022
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Xiulong Yang, Sheng-Min Shih, Yinlin Fu, Xiaoting Zhao, Shihao Ji
arXiv 2022. [Paper] [Github]
16 Aug 2022
Applying Regularized Schrödinger-Bridge-Based Stochastic Process in Generative Modeling
Ki-Ung Song
arXiv 2022. [Paper] [Github]
15 Aug 2022
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning
Ting Chen, Ruixiang Zhang, Geoffrey Hinton
arXiv 2022. [Paper]
8 Aug 2022
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Dohoon Ryu, Jong Chul Ye
arXiv 2022. [Paper]
3 Aug 2022
Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis
Sangyun Lee, Hyungjin Chung, Jaehyeon Kim, Jong Chul Ye
arxiv 2022. [Paper] [Github]
16 Jul 2022
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Troy Luhman, Eric Luhman
arXiv 2022. [Paper] [Github]
9 Jul 2022
Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling
Hengyuan Ma, Li Zhang, Xiatian Zhu, Jianfeng Feng
ECCV 2022. [Paper]
5 Jul 2022
SPI-GAN: Distilling Score-based Generative Models with Straight-Path Interpolations
Jinsung Jeon, Noseong Park
arxiv 2022. [Paper]
29 Jun 2022
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23 Jun 2022
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Severi Rissanen, Markus Heinonen, Arno Solin
arXiv 2022. [Paper] [Project]
21 Jun 2022
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17 Jun 2022
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ICML 2023. [Paper]
17 Jun 2022
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arXiv 2022. [Paper]
17 Jun 2022
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching
Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
ICML 2022. [Paper] [Github]
16 Jun 2022
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang
ICML 2022. [Paper] [Github]
15 Jun 2022
Diffusion Models for Video Prediction and Infilling
Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi
arXiv 2022. [Paper]
15 Jun 2022
Discrete Contrastive Diffusion for Cross-Modal and Conditional Generation
Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan
arXiv 2022. [Paper] [Github]
15 Jun 2022
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Qinsheng Zhang, Molei Tao, Yongxin Chen
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11 Jun 2022
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models
Giulio Franzese, Simone Rossi, Lixuan Yang, Alessandro Finamore, Dario Rossi, Maurizio Filippone, Pietro Michiardi
arXiv 2022. [Paper]
10 Jun 2022
Image Generation with Multimodal Priors using Denoising Diffusion Probabilistic Models
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10 Jun 2022
Accelerating Score-based Generative Models for High-Resolution Image Synthesis
Hengyuan Ma, Li Zhang, Xiatian Zhu, Jingfeng Zhang, Jianfeng Feng
arXiv 2022. [Paper]
8 Jun 2022
Diffusion-GAN: Training GANs with Diffusion
Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
arXiv 2022. [Paper]
5 Jun 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
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2 Jun 2022
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1 Jun 2022
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models
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NeurIPS 2022. [Paper]
31 May 2022
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Giorgio Giannone, Didrik Nielsen, Ole Winther
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30 May 2022
A Continuous Time Framework for Discrete Denoising Models
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30 May 2022
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NeurIPS 2022. [Paper]
27 May 2022
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ICML 2022. [Paper]
25 May 2022
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23 May 2022
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation
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19 May 2022
On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models
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CVPR Workshop 2022. [Paper]
8 May 2022
Subspace Diffusion Generative Models
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arXiv 2022. [Paper] [Github]
3 May 2022
Fast Sampling of Diffusion Models with Exponential Integrator
Qinsheng Zhang, Yongxin Chen
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29 Apr 2022
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NeurIPS 2022. [Paper]
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CVPR 2022. [Paper] [Github]
1 Apr 2022
Generating High Fidelity Data from Low-density Regions using Diffusion Models
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31 Mar 2022
Diffusion Models for Counterfactual Explanations
Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
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29 Mar 2022
Denoising Likelihood Score Matching for Conditional Score-based Data Generation
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16 Mar 2022
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29 Sep 2022
Can segmentation models be trained with fully synthetically generated data?
Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S Graham, Tom Vercauteren, M Jorge Cardoso
arXiv 2022. [Paper]
17 Sep 2022
Let us Build Bridges: Understanding and Extending Diffusion Generative Models
Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu
arXiv 2022. [Paper]
31 Aug 2022
Semantic Image Synthesis via Diffusion Models
Weilun Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Dong Chen, Lu Yuan, Houqiang Li
arXiv 2022. [Paper]
30 Jun 2022
Remote Sensing Change Detection (Segmentation) using Denoising Diffusion Probabilistic Models
Wele Gedara Chaminda Bandara, Nithin Gopalakrishnan Nair, Vishal M. Patel
arXiv 2022. [Paper] [Github]
23 Jun 2022
Diffusion models as plug-and-play priors
Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras
arXiv 2022. [Paper]
17 Jun 2022
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models
Walter H. L. Pinaya, Mark S. Graham, Robert Gray, Pedro F Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee H. Mah, Andrew D. MacKinnon, James T. Teo, Rolf Jager, David Werring, Geraint Rees, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardos
MICCAI 2022. [Paper]
7 Jun 2022
Decoder Denoising Pretraining for Semantic Segmentation
Emmanuel Brempong Asiedu, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi
arXiv 2022. [Paper]
23 May 2022
Diffusion Models for Implicit Image Segmentation Ensembles
Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe Valmaggia, Philippe C. Cattin
MIDL 2021. [Paper]
6 Dec 2021
Label-Efficient Semantic Segmentation with Diffusion Models
Dmitry Baranchuk, Ivan Rubachev, Andrey Voynov, Valentin Khrulkov, Artem Babenko
ICLR 2021. [Paper] [Github]
6 Dec 2021
SegDiff: Image Segmentation with Diffusion Probabilistic Models
Tomer Amit, Eliya Nachmani, Tal Shaharbany, Lior Wolf
arXiv 2021. [Paper]
1 Dec 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini, Patrick Forré, Max Welling
NeurIPS 2021. [Paper]
10 Feb 2021
Interpolating between Images with Diffusion Models
Clinton J. Wang, Polina Golland
ICML Workshop 2023. [Paper] [Project] [Github]
24 Jul 2023
TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition
Shilin Lu, Yanzhu Liu, Adams Wai-Kin Kong
ICCV 2023. [Paper] [Github]
24 Jul 2023
DiffuseGAE: Controllable and High-fidelity Image Manipulation from Disentangled Representation
Yipeng Leng, Qiangjuan Huang, Zhiyuan Wang, Yangyang Liu, Haoyu Zhang
arXiv 2023. [Paper]
12 Jul 2023
DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer
Dan Ruta, Gemma Canet Tarrés, Andrew Gilbert, Eli Shechtman, Nicholas Kolkin, John Collomosse
arXiv 2023. [Paper]
9 Jul 2023
Applying a Color Palette with Local Control using Diffusion Models
Vaibhav Vavilala, David Forsyth
arXiv 2023. [Paper]
6 Jul 2023
DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
Chong Mou, Xintao Wang, Jiechong Song, Ying Shan, Jian Zhang
arXiv 2023. [Paper] [Project]
5 Jul 2023
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
Yujun Shi, Chuhui Xue, Jiachun Pan, Wenqing Zhang, Vincent Y. F. Tan, Song Bai
arXiv 2023. [Paper]
26 Jun 2023
ArtFusion: Controllable Arbitrary Style Transfer using Dual Conditional Latent Diffusion Models
Dar-Yen Chen
arXiv 2023. [Paper] [Github]
15 Jun 2023
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov
ICML 2023. [Paper]
14 Jun 2023
TryOnDiffusion: A Tale of Two UNets
Luyang Zhu, Dawei Yang, Tyler Zhu, Fitsum Reda, William Chan, Chitwan Saharia, Mohammad Norouzi, Ira Kemelmacher-Shlizerman
CVPR 2023. [Paper]
14 Jun 2023
Improving Diffusion-based Image Translation using Asymmetric Gradient Guidance
Gihyun Kwon, Jong Chul Ye
arXiv 2023. [Paper]
7 Jun 2023
DiffSketching: Sketch Control Image Synthesis with Diffusion Models
Qiang Wang, Di Kong, Fengyin Lin, Yonggang Qi
arXiv 2023. [Paper]
30 May 2023
Real-World Image Variation by Aligning Diffusion Inversion Chain
Yuechen Zhang, Jinbo Xing, Eric Lo, Jiaya Jia
arXiv 2023. [Paper]
30 May 2023
Photoswap: Personalized Subject Swapping in Images
Jing Gu, Yilin Wang, Nanxuan Zhao, Tsu-Jui Fu, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, HyunJoon Jung, Xin Eric Wang
arXiv 2023. [Paper] [Project]
29 May 2023
Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation
Lisa Dunlap, Alyssa Umino, Han Zhang, Jiezhi Yang, Joseph E. Gonzalez, Trevor Darrell
arXiv 2023. [Paper] [Github]
25 May 2023
Unpaired Image-to-Image Translation via Neural Schr"odinger Bridge
Beomsu Kim, Gihyun Kwon, Kwanyoung Kim, Jong Chul Ye
arXiv 2023. [Paper] [Github]
24 May 2023
SAR-to-Optical Image Translation via Thermodynamics-inspired Network
Mingjin Zhang, Jiamin Xu, Chengyu He, Wenteng Shang, Yunsong Li, Xinbo Gao
arXiv 2023. [Paper]
23 May 2023
Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator
Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wanrong Huang, Wenjing Yang
arXiv 2023. [Paper] [Project] [Github]
11 May 2023
ReGeneration Learning of Diffusion Models with Rich Prompts for Zero-Shot Image Translation
Yupei Lin, Sen Zhang, Xiaojun Yang, Xiao Wang, Yukai Shi
arXiv 2023. [Paper] [Project]
8 May 2023
Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation
Zeyu Lu, Chengyue Wu, Xinyuan Chen, Yaohui Wang, Yu Qiao, Xihui Liu
arXiv 2023. [Paper]
24 Apr 2023
DiffusionRig: Learning Personalized Priors for Facial Appearance Editing
Zheng Ding, Xuaner Zhang, Zhihao Xia, Lars Jebe, Zhuowen Tu, Xiuming Zhang
CVPR 2023. [Paper] [Project] [Github]
13 Apr 2023
Face Animation with an Attribute-Guided Diffusion Model
Bohan Zeng, Xuhui Liu, Sicheng Gao, Boyu Liu, Hong Li, Jianzhuang Liu, Baochang Zhang
arXiv 2023. [Paper]
6 Apr 2023
Reference-based Image Composition with Sketch via Structure-aware Diffusion Model
Kangyeol Kim, Sunghyun Park, Junsoo Lee, Jaegul Choo
arXiv 2023. [Paper]
31 Mar 2023
Training-free Style Transfer Emerges from h-space in Diffusion models
Jaeseok Jeong, Mingi Kwon, Youngjung Uh
arXiv 2023. [Paper] [Project] [Github]
27 Mar 2023
Diffusion-based Target Sampler for Unsupervised Domain Adaptation
Yulong Zhang, Shuhao Chen, Yu Zhang, Jiangang Lu
arXiv 2023. [Paper]
17 Mar 2023
StyO: Stylize Your Face in Only One-Shot
Bonan Li, Zicheng Zhang, Xuecheng Nie, Congying Han, Yinhan Hu, Tiande Guo
arXiv 2023. [Paper]
6 Mar 2023
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion Models
Shidong Cao, Wenhao Chai, Shengyu Hao, Yanting Zhang, Hangyue Chen, Gaoang Wang
arXiv 2023. [Paper]
14 Feb 2023
I2SB: Image-to-Image Schrödinger Bridge
Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos A. Theodorou, Weili Nie, Anima Anandkumar
arXiv 2023. [Paper] [Project]
12 Feb 2023
Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion
Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette, Ona Wu
arXiv 2023. [Paper]
31 Jan 2023
DiffFace: Diffusion-based Face Swapping with Facial Guidance
Kihong Kim, Yunho Kim, Seokju Cho, Junyoung Seo, Jisu Nam, Kychul Lee, Seungryong Kim, KwangHee Lee
arXiv 2022. [Paper] [Project]
27 Dec 2022
HS-Diffusion: Learning a Semantic-Guided Diffusion Model for Head Swapping
Qinghe Wang, Lijie Liu, Miao Hua, Qian He, Pengfei Zhu, Bing Cao, Qinghua Hu
arXiv 2022. [Paper]
13 Dec 2022
Inversion-Based Creativity Transfer with Diffusion Models
Yuxin Zhang, Nisha Huang, Fan Tang, Haibin Huang, Chongyang Ma, Weiming Dong, Changsheng Xu
CVPR 2023. [Paper] [Github]
23 Nov 2022
Person Image Synthesis via Denoising Diffusion Model
Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan
arXiv 2022. [Paper]
22 Nov 2022
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance
Chen Henry Wu, Fernando De la Torre
arXiv 2022. [Paper] [Github-1] [Github-2]
11 Oct 2022
Anatomically constrained CT image translation for heterogeneous blood vessel segmentation
Giammarco La Barbera, Haithem Boussaid, Francesco Maso, Sabine Sarnacki, Laurence Rouet, Pietro Gori, Isabelle Bloch
BMVC 2022. [Paper]
4 Oct 2022
Diffusion-based Image Translation using Disentangled Style and Content Representation
Gihyun Kwon, Jong Chul Ye
arXiv 2022. [Paper]
30 Sep 2022
MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation
Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim
arXiv 2022. [Paper] [Project]
22 Sep 2022
Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models
Ozan Özdenizci, Robert Legenstein
arXiv 2022. [Paper]
29 Jul 2022
Non-Uniform Diffusion Models
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
arXiv 2022. [Paper]
20 Jul 2022
Unsupervised Medical Image Translation with Adversarial Diffusion Models
Muzaffer Özbey, Salman UH Dar, Hasan A Bedel, Onat Dalmaz, Şaban Özturk, Alper Güngör, Tolga Çukur
arXiv 2022. [Paper]
17 Jul 2022
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations
Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu
arXiv 2022. [Paper]
14 Jul 2022
Discrete Contrastive Diffusion for Cross-Modal and Conditional Generation
Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan
arXiv 2022. [Paper] [Github]
15 Jun 2022
Pretraining is All You Need for Image-to-Image Translation
Tengfei Wang, Ting Zhang, Bo Zhang, Hao Ouyang, Dong Chen, Qifeng Chen, Fang Wen
arXiv 2022. [Paper] [Project] [Github]
25 May 2022
VQBB: Image-to-image Translation with Vector Quantized Brownian Bridge
Bo Li, Kaitao Xue, Bin Liu, Yu-Kun Lai
arXiv 2022. [Paper]
16 May 2022
The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models
Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe C. Cattin
arXiv 2022. [Paper]
6 Apr 2022
Dual Diffusion Implicit Bridges for Image-to-Image Translation
Xuan Su, Jiaming Song, Chenlin Meng, Stefano Ermon
arXiv 2022. [Paper]
16 Mar 2022
Denoising Diffusion Restoration Models
Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song
NeurIPS 2022. [Paper]
27 Jan 2022
DiffuseMorph: Unsupervised Deformable Image Registration Along Continuous Trajectory Using Diffusion Models
Boah Kim, Inhwa Han, Jong Chul Ye
arXiv 2021. [Paper]
9 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Konpat Preechakul, Nattanat Chatthee, Suttisak Wizadwongsa, Supasorn Suwajanakorn
arXiv 2021. [Paper] [Project]
30 Dec 2021
Conditional Image Generation with Score-Based Diffusion Models
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
arXiv 2021. [Paper]
26 Nov 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon
ICCV 2021 (Oral). [Paper] [Github]
6 Aug 2021
UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models
Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon
arXiv 2021. [Paper]
12 Apr 2021
Artifact Restoration in Histology Images with Diffusion Probabilistic Models
Zhenqi He, Junjun He, Jin Ye, Yiqing Shen
arXiv 2023. [Paper] [Github]
26 Jul 2023
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting
Zongsheng Yue, Jianyi Wang, Chen Change Loy
arXiv 2023. [Paper] [Github]
23 Jul 2023
Iterative Reconstruction Based on Latent Diffusion Model for Sparse Data Reconstruction
Linchao He, Hongyu Yan, Mengting Luo, Kunming Luo, Wang Wang, Wenchao Du, Hu Chen, Hongyu Yang, Yi Zhang
arXiv 2023. [Paper]
22 Jul 2023
PartDiff: Image Super-resolution with Partial Diffusion Models
Kai Zhao, Alex Ling Yu Hung, Kaifeng Pang, Haoxin Zheng, Kyunghyun Sung
arXiv 2023. [Paper]
21 Jul 2023
Reference-based Painterly Inpainting via Diffusion: Crossing the Wild Reference Domain Gap
Dejia Xu, Xingqian Xu, Wenyan Cong, Humphrey Shi, Zhangyang Wang
arXiv 2023. [Paper] [Project]
20 Jul 2023
AnyDoor: Zero-shot Object-level Image Customization
Xi Chen, Lianghua Huang, Yu Liu, Yujun Shen, Deli Zhao, Hengshuang Zhao
arXiv 2023. [Paper] [Project]
18 Jul 2023
Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond
Yang Zhao, Tingbo Hou, Yu-Chuan Su, Xuhui Jia. Yandong Li, Matthias Grundmann
ICCV 2023. [Paper]
18 Jul 2023
Flow Matching in Latent Space
Quan Dao, Hao Phung, Binh Nguyen, Anh Tran
arXiv 2023. [Paper] [Project]
17 Jul 2023
Identity-Preserving Aging of Face Images via Latent Diffusion Models
Sudipta Banerjee, Govind Mittal, Ameya Joshi, Chinmay Hegde, Nasir Memon
IJCB 2023. [Paper]
17 Jul 2023
Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
Bowen Song, Soo Min Kwon, Zecheng Zhang, Xinyu Hu, Qing Qu, Liyue Shen
arXiv 2023. [Paper]
16 Jul 2023
ExposureDiffusion: Learning to Expose for Low-light Image Enhancement
Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen
arXiv 2023. [Paper]
15 Jul 2023
DDGM: Solving inverse problems by Diffusive Denoising of Gradient-based Minimization
Kyle Luther, H. Sebastian Seung
arXiv 2023. [Paper]
11 Jul 2023
Stimulating the Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling
Tong Li, Hansen Feng, Lizhi Wang, Zhiwei Xiong, Hua Huang
arXiv 2023. [Paper]
8 Jul 2023
IPO-LDM: Depth-aided 360-degree Indoor RGB Panorama Outpainting via Latent Diffusion Model
Tianhao Wu, Chuanxia Zheng, Tat-Jen Cham
arXiv 2023. [Paper] [Github]
6 Jul 2023
Single Image LDR to HDR Conversion using Conditional Diffusion
Dwip Dalal, Gautam Vashishtha, Prajwal Singh, Shanmuganathan Raman
arXiv 2023. [Paper]
6 Jul 2023
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution
Axi Niu, Pham Xuan Trung, Kang Zhang, Jinqiu Sun, Yu Zhu, In So Kweon, Yanning Zhang
arXiv 2023. [Paper]
3 Jul 2023
LEDITS: Real Image Editing with DDPM Inversion and Semantic Guidance
Linoy Tsaban, Apolinário Passos
arXiv 2023. [Paper]
2 Jul 2023
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models
Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alexandros G. Dimakis, Sanjay Shakkottai
arXiv 2023. [Paper] [Github]
2 Jul 2023
Content-Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling
Li Sanqian, Higashita Risa, Fu Huazhu, Li Heng, Niu Jingxuan, Liu Jiang
arXiv 2023. [Paper]
30 Jun 2023
Self-Supervised MRI Reconstruction with Unrolled Diffusion Models
Yilmaz Korkmaz, Tolga Cukur, Vishal Patel
arXiv 2023. [Paper]
29 Jun 2023
SVNR: Spatially-variant Noise Removal with Denoising Diffusion
Naama Pearl, Yaron Brodsky, Dana Berman, Assaf Zomet, Alex Rav Acha, Daniel Cohen-Or, Dani Lischinski
arXiv 2023. [Paper]
28 Jun 2023
Easing Color Shifts in Score-Based Diffusion Models
Katherine Deck, Tobias Bischoff
arXiv 2023. [Paper]
27 Jun 2023
Diffusion Model Based Low-Light Image Enhancement for Space Satellite
Yiman Zhu, Lu Wang, Jingyi Yuan, Yu Guo
arXiv 2023. [Paper]
25 Jun 2023
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology
Marco Aversa, Gabriel Nobis, Miriam Hägele, Kai Standvoss, Mihaela Chirica, Roderick Murray-Smith, Ahmed Alaa, Lukas Ruff, Daniela Ivanova, Wojciech Samek, Frederick Klauschen, Bruno Sanguinetti, Luis Oala
arXiv 2023. [Paper]
23 Jun 2023
Wind Noise Reduction with a Diffusion-based Stochastic Regeneration Model
Jean-Marie Lemercier, Joachim Thiemann, Raphael Koning, Timo Gerkmann
arXiv 2023. [Paper]
22 Jun 2023
DiffuseIR:Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images
Mingjie Pan, Yulu Gan, Fangxu Zhou, Jiaming Liu, Aimin Wang, Shanghang Zhang, Dawei Li
arXiv 2023. [Paper]
21 Jun 2023
HSR-Diff:Hyperspectral Image Super-Resolution via Conditional Diffusion Models
Chanyue Wu, Dong Wang, Hanyu Mao, Ying Li
arXiv 2023. [Paper]
21 Jun 2023
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision
Ayush Tewari, Tianwei Yin, George Cazenavette, Semon Rezchikov, Joshua B. Tenenbaum, Frédo Durand, William T. Freeman, Vincent Sitzmann
arXiv 2023. [Paper]
20 Jun 2023
Deep Ultrasound Denoising Using Diffusion Probabilistic Models
Hojat Asgariandehkordi, Sobhan Goudarzi, Adrian Basarab, Hassan Rivaz
arXiv 2023. [Paper]
12 Jun 2023
Towards Visual Foundational Models of Physical Scenes
Chethan Parameshwara, Alessandro Achille, Matthew Trager, Xiaolong Li, Jiawei Mo, Matthew Trager, Ashwin Swaminathan, CJ Taylor, Dheera Venkatraman, Xiaohan Fei, Stefano Soatto
arXiv 2023. [Paper]
6 Jun 2023
INDigo: An INN-Guided Probabilistic Diffusion Algorithm for Inverse Problems
Di You, Andreas Floros, Pier Luigi Dragotti
arXiv 2023. [Paper]
5 Jun 2023
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation
Saurabh Saxena, Charles Herrmann, Junhwa Hur, Abhishek Kar, Mohammad Norouzi, Deqing Sun, David J. Fleet
arXiv 2023. [Paper]
2 Jun 2023
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models
Ruibin Li, Qihua Zhou, Song Guo, Jie Zhang, Jingcai Guo, Xinyang Jiang, Yifei Shen, Zhenhua Han
arXiv 2023. [Paper]
1 Jun 2023
Low-Light Image Enhancement with Wavelet-based Diffusion Models
Hai Jiang, Ao Luo, Songchen Han, Haoqiang Fan, Shuaicheng Liu
arXiv 2023. [Paper]
1 Jun 2023
A Unified Conditional Framework for Diffusion-based Image Restoration
Yi Zhang, Xiaoyu Shi, Dasong Li, Xiaogang Wang, Jian Wang, Hongsheng Li
arXiv 2023. [Paper]
31 May 2023
Direct Diffusion Bridge using Data Consistency for Inverse Problems
Hyungjin Chung, Jeongsol Kim, Jong Chul Ye
arXiv 2023. [Paper]
31 May 2023
Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling
Gongye Liu, Haoze Sun, Jiayi Li, Fei Yin, Yujiu Yang
arXiv 2023. [Paper]
26 May 2023
Look Ma, No Hands! Agent-Environment Factorization of Egocentric Videos
Matthew Chang, Aditya Prakash, Saurabh Gupta
arXiv 2023. [Paper] [Project]
25 May 2023
A Diffusion Probabilistic Prior for Low-Dose CT Image Denoising
Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, Xiaokun Liang
arXiv 2023. [Paper]
25 May 2023
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
Yiyang Ma, Huan Yang, Wenhan Yang, Jianlong Fu, Jiaying Liu
arXiv 2023. [Paper]
24 May 2023
WaveDM: Wavelet-Based Diffusion Models for Image Restoration
Yi Huang, Jiancheng Huang, Jianzhuang Liu, Yu Dong, Jiaxi Lv, Shifeng Chen
arXiv 2023. [Paper]
23 May 2023
Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstruction in RSIs
Mengze Xu, Jie Ma, Yuanyuan Zhu
arXiv 2023. [Paper] [Github]
20 May 2023
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu
arXiv 2023. [Paper]
18 May 2023
Pyramid Diffusion Models For Low-light Image Enhancement
Dewei Zhou, Zongxin Yang, Yi Yang
arXiv 2023. [Paper]
17 May 2023
A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image Reconstruction
Ruoqi Wang, Zhuoyang Chen, Qiong Luo, Feng Wang
arXiv 2023. [Paper]
16 May 2023
Denoising Diffusion Models for Plug-and-Play Image Restoration
Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool
arXiv 2023. [Paper] [Github]
15 May 2023
Exploiting Diffusion Prior for Real-World Image Super-Resolution
Jianyi Wang, Zongsheng Yue, Shangchen Zhou, Kelvin C.K. Chan, Chen Change Loy
arXiv 2023. [Paper] [Project] [Github]
11 May 2023
Atmospheric Turbulence Correction via Variational Deep Diffusion
Xijun Wang, Santiago López-Tapia, Aggelos K. Katsaggelos
arXiv 2023. [Paper]
8 May 2023
Controllable Light Diffusion for Portraits
David Futschik, Kelvin Ritland, James Vecore, Sean Fanello, Sergio Orts-Escolano, Brian Curless, Daniel Sýkora, Rohit Pandey
arXiv 2023. [Paper]
8 May 2023
DiffBFR: Bootstrapping Diffusion Model Towards Blind Face Restoration
Xinmin Qiu, Congying Han, ZiCheng Zhang, Bonan Li, Tiande Guo, Xuecheng Nie
arXiv 2023. [Paper]
8 May 2023
Real-World Denoising via Diffusion Model
Cheng Yang, Lijing Liang, Zhixun Su
arXiv 2023. [Paper]
8 May 2023
A Variational Perspective on Solving Inverse Problems with Diffusion Models
Morteza Mardani, Jiaming Song, Jan Kautz, Arash Vahdat
arXiv 2023. [Paper]
7 May 2023
Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model
Taofeng Xie, Chentao Cao, Zhuoxu Cui, Yu Guo, Caiying Wu, Xuemei Wang, Qingneng Li, Zhanli Hu, Tao Sun, Ziru Sang, Yihang Zhou, Yanjie Zhu, Dong Liang, Qiyu Jin, Guoqing Chen, Haifeng Wang
arXiv 2023. [Paper]
6 May 2023
DocDiff: Document Enhancement via Residual Diffusion Models
Zongyuan Yang, Baolin Liu, Yongping Xiong, Lan Yi, Guibin Wu, Xiaojun Tang, Ziqi Liu, Junjie Zhou, Xing Zhang
arXiv 2023. [Paper] [Github]
6 May 2023
Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data
Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir
arXiv 2023. [Paper]
2 May 2023
Self-similarity-based super-resolution of photoacoustic angiography from hand-drawn doodles
Yuanzheng Ma, Wangting Zhou, Rui Ma, Sihua Yang, Yansong Tang, Xun Guan
arXiv 2023. [Paper]
2 May 2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging
Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman
arXiv 2023. [Paper]
23 Apr 2023
Improved Diffusion-based Image Colorization via Piggybacked Models
Hanyuan Liu, Jinbo Xing, Minshan Xie, Chengze Li, Tien-Tsin Wong
arXiv 2023. [Paper] [Project]
21 Apr 2023
DiFaReli: Diffusion Face Relighting
Puntawat Ponglertnapakorn, Nontawat Tritrong, Supasorn Suwajanakorn
arXiv 2023. [Paper] [Project]
19 Apr 2023
Inpaint Anything: Segment Anything Meets Image Inpainting
Tao Yu, Runseng Feng, Ruoyu Feng, Jinming Liu, Xin Jin, Wenjun Zeng, Zhibo Chen
arXiv 2023. [Paper] [Github]
13 Apr 2023
Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models
Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
arXiv 2023. [Paper] [Github]
17 Apr 2023
SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI
Zhuo-Xu Cui, Chentao Cao, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu
arXiv 2023. [Paper]
11 Apr 2023
Zero-shot CT Field-of-view Completion with Unconditional Generative Diffusion Prior
Kaiwen Xu, Aravind R. Krishnan, Thomas Z. Li, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman
arXiv 2023. [Paper]
7 Apr 2023
SketchFFusion: Sketch-guided image editing with diffusion model
Weihang Mao, Bo Han, Zihao Wang
arXiv 2023. [Paper]
6 Apr 2023
Inst-Inpaint: Instructing to Remove Objects with Diffusion Models
Ahmet Burak Yildirim, Vedat Baday, Erkut Erdem, Aykut Erdem, Aysegul Dundar
arXiv 2023. [Paper] [Project]
6 Apr 2023
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models
Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi Jaakkola, Shiyu Chang
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6 Apr 2023
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Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models
Walter H. L. Pinaya, Mark S. Graham, Robert Gray, Pedro F Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee H. Mah, Andrew D. MacKinnon, James T. Teo, Rolf Jager, David Werring, Geraint Rees, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardos
MICCAI 2022. [Paper]
7 Jun 2022
Improving Diffusion Models for Inverse Problems using Manifold Constraints
Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye
arXiv 2022. [Paper]
2 Jun 2022
AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise
Julian Wyatt, Adam Leach, Sebastian M. Schmon, Chris G. Willcocks
CVPR Workshop 2022. [Paper] [Github]
1 Jun 2022
The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models
Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe C. Cattin
arXiv 2022. [Paper]
6 Apr 2022
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion
Hyungjin Chung, Eun Sun Lee, Jong Chul Ye
arXiv 2022. [Paper]
23 Mar 2022
Diffusion Models for Medical Anomaly Detection
Julia Wolleb, Florentin Bieder, Robin Sandkühler, Philippe C. Cattin
MICCAI 2022. [Paper] [Github]
8 Mar 2022
Towards performant and reliable undersampled MR reconstruction via diffusion model sampling
Cheng Peng, Pengfei Guo, S. Kevin Zhou, Vishal Patel, Rama Chellappa
arXiv 2022. [Paper] [Github]
8 Mar 2022
Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction
Yutong Xie, Quanzheng Li
MICCAI 2022. [Paper] [Github]
5 Mar 2022
MRI Reconstruction via Data Driven Markov Chain with Joint Uncertainty Estimation
Guanxiong Luo, Martin Heide, Martin Uecker
arXiv 2022. [Paper] [Github]
3 Feb 2022
Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model
Dewei Hu, Yuankai K. Tao, Ipek Oguz
arXiv 2022. [Paper] [Github]
27 Jan 2022
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction
Hyungjin Chung, Byeongsu Sim, Jong Chul Ye
CVPR 2021. [Paper]
9 Dec 2021
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models
Yang Song, Liyue Shen, Lei Xing, Stefano Ermon
NeurIPS Workshop 2021. [Paper] [Github]
15 Nov 2021
Score-based diffusion models for accelerated MRI
Hyungjin Chung, Jong chul Ye
MIA 2021. [Paper] [Github]
8 Oct 2021
VideoControlNet: A Motion-Guided Video-to-Video Translation Framework by Using Diffusion Model with ControlNet
Zhihao Hu, Dong Xu
arXiv 2023. [Paper] [Project]
26 Jul 2023
Points-to-3D: Bridging the Gap between Sparse Points and Shape-Controllable Text-to-3D Generation
Chaohui Yu, Qiang Zhou, Jingliang Li, Zhe Zhang, Zhibin Wang, Fan Wang
arXiv 2023. [Paper]
26 Jul 2023
Visual Instruction Inversion: Image Editing via Visual Prompting
Thao Nguyen, Yuheng Li, Utkarsh Ojha, Yong Jae Lee
arXiv 2023. [Paper] [Project] [Github]
26 Jul 2023
Composite Diffusion | whole >= \Sigma parts
Vikram Jamwal, Ramaneswaran S
arXiv 2023. [Paper]
25 Jul 2023
Fashion Matrix: Editing Photos by Just Talking
Zheng Chong, Xujie Zhang, Fuwei Zhao, Zhenyu Xie, Xiaodan Liang
arXiv 2023. [Paper] [Project] [Github]
25 Jul 2023
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry
Yong-Hyun Park, Mingi Kwon, Jaewoong Choi, Junghyo Jo, Youngjung Uh
arXiv 2023. [Paper]
24 Jul 2023
Subject-Diffusion:Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning
Jian Ma, Junhao Liang, Chen Chen, Haonan Lu
arXiv 2023. [Paper] [Project] [Github]
21 Jul 2023
Divide & Bind Your Attention for Improved Generative Semantic Nursing
Yumeng Li, Margret Keuper, Dan Zhang, Anna Khoreva
arXiv 2023. [Paper] [Project]
20 Jul 2023
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan, Jiashi Feng, Hanshu Yan
arXiv 2023. [Paper]
20 Jul 2023
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
Jinheng Xie, Yuexiang Li, Yawen Huang, Haozhe Liu, Wentian Zhang, Yefeng Zheng, Mike Zheng Shou
arXiv 2023. [Paper] [Github]
20 Jul 2023
Text2Layer: Layered Image Generation using Latent Diffusion Model
Xinyang Zhang, Wentian Zhao, Xin Lu, Jeff Chien
arXiv 2023. [Paper]
19 Jul 2023
FABRIC: Personalizing Diffusion Models with Iterative Feedback
Dimitri von Rütte, Elisabetta Fedele, Jonathan Thomm, Lukas Wolf
arXiv 2023. [Paper]
19 Jul 2023
TokenFlow: Consistent Diffusion Features for Consistent Video Editing
Michal Geyer, Omer Bar-Tal, Shai Bagon, Tali Dekel
arXiv 2023. [Paper] [Project] [Github]
19 Jul 2023
Multimodal Diffusion Segmentation Model for Object Segmentation from Manipulation Instructions
Yui Iioka, Yu Yoshida, Yuiga Wada, Shumpei Hatanaka, Komei Sugiura
arXiv 2023. [Paper]
17 Jul 2023
Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation
Luozhou Wang, Shuai Yang, Shu Liu, Ying-cong Chen
ICCV 2023. [Paper] [Github]
17 Jul 2023
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection
Alessandro Flaborea, Luca Collorone, Guido D'Amely, Stefano D'Arrigo, Bardh Prenkaj, Fabio Galasso
arXiv 2023. [Paper]
14 Jul 2023
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Wei Wei, Tingbo Hou, Yael Pritch, Neal Wadhwa, Michael Rubinstein, Kfir Aberman
arXiv 2023. [Paper] [Project] [Github]
13 Jul 2023
Exact Diffusion Inversion via Bi-directional Integration Approximation
Guoqiang Zhang, J. P. Lewis, W. Bastiaan Kleijn
arXiv 2023. [Paper]
10 Jul 2023
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
Yuwei Guo, Ceyuan Yang, Anyi Rao, Yaohui Wang, Yu Qiao, Dahua Lin, Bo Dai
arXiv 2023. [Paper] [Project] [Github]
10 Jul 2023
Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback
Jaskirat Singh, Liang Zheng
arXiv 2023. [Paper] [Project] [Github]
10 Jul 2023
Augmenters at SemEval-2023 Task 1: Enhancing CLIP in Handling Compositionality and Ambiguity for Zero-Shot Visual WSD through Prompt Augmentation and Text-To-Image Diffusion
Jie S. Li, Yow-Ting Shiue, Yong-Siang Shih, Jonas Geiping
arXiv 2023. [Paper]
9 Jul 2023
Measuring the Success of Diffusion Models at Imitating Human Artists
Stephen Casper, Zifan Guo, Shreya Mogulothu, Zachary Marinov, Chinmay Deshpande, Rui-Jie Yew, Zheng Dai, Dylan Hadfield-Menell
ICML Workshop 2023. [Paper]
8 Jul 2023
How to Detect Unauthorized Data Usages in Text-to-image Diffusion Models
Zhenting Wang, Chen Chen, Yuchen Liu, Lingjuan Lyu, Dimitris Metaxas, Shiqing Ma
arXiv 2023. [Paper]
6 Jul 2023
Collaborative Score Distillation for Consistent Visual Synthesis
Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
arXiv 2023. [Paper] [Project] [Github]
4 Jul 2023
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, Robin Rombach
arXiv 2023. [Paper] [Github]
4 Jul 2023
MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion
Shitao Tang, Fuyang Zhang, Jiacheng Chen, Peng Wang, Yasutaka Furukawa
arXiv 2023. [Paper] [Project]
3 Jul 2023
Counting Guidance for High Fidelity Text-to-Image Synthesis
Wonjun Kang, Kevin Galim, Hyung Il Koo
arXiv 2023. [Paper]
30 Jun 2023
Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation
Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, Bin Fu, Tao Chen, Gang Yu, Shenghua Gao
arXiv 2023. [Paper]
29 Jun 2023
Generate Anything Anywhere in Any Scene
Yuheng Li, Haotian Liu, Yangming Wen, Yong Jae Lee
arXiv 2023. [Paper] [Project]
29 Jun 2023
Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models
Simian Luo, Chuanhao Yan, Chenxu Hu, Hang Zhao
arXiv 2023. [Paper] [Github]
29 Jun 2023
PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image Editing
Wenjing Huang, Shikui Tu, Lei Xu
arXiv 2023. [Paper]
28 Jun 2023
DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models
Ximing Xing, Chuang Wang, Haitao Zhou, Jing Zhang, Qian Yu, Dong Xu
arXiv 2023. [Paper]
26 Jun 2023
A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis
Aishwarya Agarwal, Srikrishna Karanam, K J Joseph, Apoorv Saxena, Koustava Goswami, Balaji Vasan Srinivasan
arXiv 2023. [Paper]
26 Jun 2023
Decompose and Realign: Tackling Condition Misalignment in Text-to-Image Diffusion Models
Luozhou Wang, Guibao Shen, Yijun Li, Ying-cong Chen
arXiv 2023. [Paper]
26 Jun 2023
Zero-shot spatial layout conditioning for text-to-image diffusion models
Guillaume Couairon, Marlène Careil, Matthieu Cord, Stéphane Lathuilière, Jakob Verbeek
arXiv 2023. [Paper]
23 Jun 2023
DreamTime: An Improved Optimization Strategy for Text-to-3D Content Creation
Yukun Huang, Jianan Wang, Yukai Shi, Xianbiao Qi, Zheng-Jun Zha, Lei Zhang
arXiv 2023. [Paper]
21 Jun 2023
Align, Adapt and Inject: Sound-guided Unified Image Generation
Yue Yang, Kaipeng Zhang, Yuying Ge, Wenqi Shao, Zeyue Xue, Yu Qiao, Ping Luo
arXiv 2023. [Paper]
20 Jun 2023
EMoG: Synthesizing Emotive Co-speech 3D Gesture with Diffusion Model
Lianying Yin, Yijun Wang, Tianyu He, Jinming Liu, Wei Zhao, Bohan Li, Xin Jin, Jianxin Lin
arXiv 2023. [Paper]
20 Jun 2023
RS5M: A Large Scale Vision-Language Dataset for Remote Sensing Vision-Language Foundation Model
Zilun Zhang, Tiancheng Zhao, Yulong Guo, Jianwei Yin
arXiv 2023. [Paper]
20 Jun 2023
Instruct-NeuralTalker: Editing Audio-Driven Talking Radiance Fields with Instructions
Yuqi Sun, Reian He, Weimin Tan, Bo Yan
arXiv 2023. [Paper]
19 Jun 2023
Conditional Text Image Generation with Diffusion Models
Yuanzhi Zhu, Zhaohai Li, Tianwei Wang, Mengchao He, Cong Yao
arXiv 2023. [Paper]
19 Jun 2023
Point-Cloud Completion with Pretrained Text-to-image Diffusion Models
Yoni Kasten, Ohad Rahamim, Gal Chechik
arXiv 2023. [Paper]
18 Jun 2023
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models
Geon Yeong Park, Jeongsol Kim, Beomsu Kim, Sang Wan Lee, Jong Chul Ye
arXiv 2023. [Paper]
16 Jun 2023
Evaluating the Robustness of Text-to-image Diffusion Models against Real-world Attacks
Hongcheng Gao, Hao Zhang, Yinpeng Dong, Zhijie Deng
arXiv 2023. [Paper]
16 Jun 2023
CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models
Hao-Wen Dong, Xiaoyu Liu, Jordi Pons, Gautam Bhattacharya, Santiago Pascual, Joan Serrà, Taylor Berg-Kirkpatrick, Julian McAuley
arXiv 2023. [Paper]
16 Jun 2023
Taming Diffusion Models for Music-driven Conducting Motion Generation
Zhuoran Zhao, Jinbin Bai, Delong Chen, Debang Wang, Yubo Pan
arXiv 2023. [Paper]
15 Jun 2023
Diff-TTSG: Denoising probabilistic integrated speech and gesture synthesis
Shivam Mehta, Siyang Wang, Simon Alexanderson, Jonas Beskow, Éva Székely, Gustav Eje Henter
arXiv 2023. [Paper]
15 Jun 2023
Diffusion Models for Zero-Shot Open-Vocabulary Segmentation
Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht
arXiv 2023. [Paper]
15 Jun 2023
Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment
Royi Rassin, Eran Hirsch, Daniel Glickman, Shauli Ravfogel, Yoav Goldberg, Gal Chechik
arXiv 2023. [Paper]
15 Jun 2023
Training Multimedia Event Extraction With Generated Images and Captions
Zilin Du, Yunxin Li, Xu Guo, Yidan Sun, Boyang Li
arXiv 2023. [Paper]
15 Jun 2023
VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing
Paul Couairon, Clément Rambour, Jean-Emmanuel Haugeard, Nicolas Thome
arXiv 2023. [Paper]
14 Jun 2023
Norm-guided latent space exploration for text-to-image generation
Dvir Samuel, Rami Ben-Ari, Nir Darshan, Haggai Maron, Gal Chechik
arXiv 2023. [Paper]
14 Jun 2023
Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis
Zhiyu Jin, Xuli Shen, Bin Li, Xiangyang Xue
arXiv 2023. [Paper]
14 Jun 2023
GBSD: Generative Bokeh with Stage Diffusion
Jieren Deng, Xin Zhou, Hao Tian, Zhihong Pan, Derek Aguiar
arXiv 2023. [Paper]
14 Jun 2023
Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation
Yongqi Yang, Ruoyu Wang, Zhihao Qian, Ye Zhu, Yu Wu
arXiv 2023. [Paper]
14 Jun 2023
Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation
Shuai Yang, Yifan Zhou, Ziwei Liu, Chen Change Loy
arXiv 2023. [Paper]
13 Jun 2023
Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model
Xin Zhang, Jiaxian Guo, Paul Yoo, Yutaka Matsuo, Yusuke Iwasawa
arXiv 2023. [Paper]
13 Jun 2023
Controlling Text-to-Image Diffusion by Orthogonal Finetuning
Zeju Qiu, Weiyang Liu, Haiwen Feng, Yuxuan Xue, Yao Feng, Zhen Liu, Dan Zhang, Adrian Weller, Bernhard Schölkopf
arXiv 2023. [Paper]
12 Jun 2023
MovieFactory: Automatic Movie Creation from Text using Large Generative Models for Language and Images
Junchen Zhu, Huan Yang, Huiguo He, Wenjing Wang, Zixi Tuo, Wen-Huang Cheng, Lianli Gao, Jingkuan Song, Jianlong Fu
arXiv 2023. [Paper]
12 Jun 2023
InstructP2P: Learning to Edit 3D Point Clouds with Text Instructions
Jiale Xu, Xintao Wang, Yan-Pei Cao, Weihao Cheng, Ying Shan, Shenghua Gao
arXiv 2023. [Paper]
12 Jun 2023
Language-Guided Traffic Simulation via Scene-Level Diffusion
Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray
arXiv 2023. [Paper]
10 Jun 2023
BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Josh Susskind
arXiv 2023. [Paper]
8 Jun 2023
Grounded Text-to-Image Synthesis with Attention Refocusing
Quynh Phung, Songwei Ge, Jia-Bin Huang
arXiv 2023. [Paper]
8 Jun 2023
SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions
Yuseung Lee, Kunho Kim, Hyunjin Kim, Minhyuk Sung
arXiv 2023. [Paper] [Project] [Github]
8 Jun 2023
Improving Tuning-Free Real Image Editing with Proximal Guidance
Ligong Han, Song Wen, Qi Chen, Zhixing Zhang, Kunpeng Song, Mengwei Ren, Ruijiang Gao, Yuxiao Chen, Di Liu, Qilong Zhangli, Anastasis Stathopoulos, Jindong Jiang, Zhaoyang Xia, Akash Srivastava, Dimitris Metaxas
arXiv 2023. [Paper]
8 Jun 2023
WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models
Changhoon Kim, Kyle Min, Maitreya Patel, Sheng Cheng, Yezhou Yang
arXiv 2023. [Paper]
7 Jun 2023
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models
Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang
arXiv 2023. [Paper]
7 Jun 2023
Designing a Better Asymmetric VQGAN for StableDiffusion
Zixin Zhu, Xuelu Feng, Dongdong Chen, Jianmin Bao, Le Wang, Yinpeng Chen, Lu Yuan, Gang Hua
arXiv 2023. [Paper] [Github]
7 Jun 2023
Multi-modal Latent Diffusion
Mustapha Bounoua, Giulio Franzese, Pietro Michiardi
arXiv 2023. [Paper]
7 Jun 2023
Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt
Kai Chen, Enze Xie, Zhe Chen, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung
arXiv 2023. [Paper]
7 Jun 2023
Improving Diffusion-based Image Translation using Asymmetric Gradient Guidance
Gihyun Kwon, Jong Chul Ye
arXiv 2023. [Paper]
7 Jun 2023
Stable Diffusion is Unstable
Chengbin Du, Yanxi Li, Zhongwei Qiu, Chang Xu
arXiv 2023. [Paper]
5 Jun 2023
LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading
Yochai Yemini, Aviv Shamsian, Lior Bracha, Sharon Gannot, Ethan Fetaya
arXiv 2023. [Paper] [Project]
5 Jun 2023
HeadSculpt: Crafting 3D Head Avatars with Text
Xiao Han, Yukang Cao, Kai Han, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang, Kwan-Yee K. Wong
arXiv 2023. [Paper] [Project]
5 Jun 2023
Instruct-Video2Avatar: Video-to-Avatar Generation with Instructions
Shaoxu Li
arXiv 2023. [Paper]
5 Jun 2023
Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark
Shuyu Yang, Yinan Zhou, Yaxiong Wang, Yujiao Wu, Li Zhu, Zhedong Zheng
arXiv 2023. [Paper]
5 Jun 2023
User-friendly Image Editing with Minimal Text Input: Leveraging Captioning and Injection Techniques
Sunwoo Kim, Wooseok Jang, Hyunsu Kim, Junho Kim, Yunjey Choi, Seungryong Kim, Gayeong Lee
arXiv 2023. [Paper]
5 Jun 2023
Detector Guidance for Multi-Object Text-to-Image Generation
Luping Liu, Zijian Zhang, Yi Ren, Rongjie Huang, Xiang Yin, Zhou Zhao
arXiv 2023. [Paper]
4 Jun 2023
Word-Level Explanations for Analyzing Bias in Text-to-Image Models
Alexander Lin, Lucas Monteiro Paes, Sree Harsha Tanneru, Suraj Srinivas, Himabindu Lakkaraju
arXiv 2023. [Paper]
3 Jun 2023
Efficient Text-Guided 3D-Aware Portrait Generation with Score Distillation Sampling on Distribution
Yiji Cheng, Fei Yin, Xiaoke Huang, Xintong Yu, Jiaxiang Liu, Shikun Feng, Yujiu Yang, Yansong Tang
arXiv 2023. [Paper]
3 Jun 2023
Probabilistic Adaptation of Text-to-Video Models
Mengjiao Yang, Yilun Du, Bo Dai, Dale Schuurmans, Joshua B. Tenenbaum, Pieter Abbeel
arXiv 2023. [Paper] [Project]
2 Jun 2023
Video Colorization with Pre-trained Text-to-Image Diffusion Models
Hanyuan Liu, Minshan Xie, Jinbo Xing, Chengze Li, Tien-Tsin Wong
arXiv 2023. [Paper]
2 Jun 2023
Audio-Visual Speech Enhancement with Score-Based Generative Models
Julius Richter, Simone Frintrop, Timo Gerkmann
arXiv 2023. [Paper]
2 Jun 2023
Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models
Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenków, Sotirios A. Tsaftaris, Jorge Cardoso
arXiv 2023. [Paper]
2 Jun 2023
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan
arXiv 2023. [Paper]
1 Jun 2023
Diffusion Self-Guidance for Controllable Image Generation
Dave Epstein, Allan Jabri, Ben Poole, Alexei A. Efros, Aleksander Holynski
arXiv 2023. [Paper] [Project]
1 Jun 2023
StyleDrop: Text-to-Image Generation in Any Style
Kihyuk Sohn, Nataniel Ruiz, Kimin Lee, Daniel Castro Chin, Irina Blok, Huiwen Chang, Jarred Barber, Lu Jiang, Glenn Entis, Yuanzhen Li, Yuan Hao, Irfan Essa, Michael Rubinstein, Dilip Krishnan
arXiv 2023. [Paper] [Project]
1 Jun 2023
Intriguing Properties of Text-guided Diffusion Models
Qihao Liu, Adam Kortylewski, Yutong Bai, Song Bai, Alan Yuille
arXiv 2023. [Paper]
1 Jun 2023
Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion Models
Chang Liu, Haoning Wu, Yujie Zhong, Xiaoyun Zhang, Weidi Xie
arXiv 2023. [Paper] [Project]
1 Jun 2023
ViCo: Detail-Preserving Visual Condition for Personalized Text-to-Image Generation
Shaozhe Hao, Kai Han, Shihao Zhao, Kwan-Yee K. Wong
arXiv 2023. [Paper] [Github]
1 Jun 2023
The Hidden Language of Diffusion Models
Hila Chefer, Oran Lang, Mor Geva, Volodymyr Polosukhin, Assaf Shocher, Michal Irani, Inbar Mosseri, Lior Wolf
arXiv 2023. [Paper] [Project]
1 Jun 2023
Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation
Minghui Hu, Jianbin Zheng, Daqing Liu, Chuanxia Zheng, Chaoyue Wang, Dacheng Tao, Tat-Jen Cham
arXiv 2023. [Paper] [Project] [Github]
1 Jun 2023
Make-Your-Video: Customized Video Generation Using Textual and Structural Guidance
Jinbo Xing, Menghan Xia, Yuxin Liu, Yuechen Zhang, Yong Zhang, Yingqing He, Hanyuan Liu, Haoxin Chen, Xiaodong Cun, Xintao Wang, Ying Shan, Tien-Tsin Wong
arXiv 2023. [Paper] [Project]
1 Jun 2023
Inserting Anybody in Diffusion Models via Celeb Basis
Ge Yuan, Xiaodong Cun, Yong Zhang, Maomao Li, Chenyang Qi, Xintao Wang, Ying Shan, Huicheng Zheng
arXiv 2023. [Paper] [Project]
1 Jun 2023
Wuerstchen: Efficient Pretraining of Text-to-Image Models
Pablo Pernias, Dominic Rampas, Marc Aubreville
arXiv 2023. [Paper]
1 Jun 2023
UniDiff: Advancing Vision-Language Models with Generative and Discriminative Learning
Xiao Dong, Runhui Huang, Xiaoyong Wei, Zequn Jie, Jianxing Yu, Jian Yin, Xiaodan Liang
arXiv 2023. [Paper]
1 Jun 2023
FigGen: Text to Scientific Figure Generation
Juan A. Rodriguez, David Vazquez, Issam Laradji, Marco Pedersoli, Pau Rodriguez
ICLR 2023. [Paper]
1 Jun 2023
Diffusion Brush: A Latent Diffusion Model-based Editing Tool for AI-generated Images
Peyman Gholami, Robert Xiao
arXiv 2023. [Paper]
31 May 2023
Understanding and Mitigating Copying in Diffusion Models
Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, Tom Goldstein
CVPR 2023. [Paper] [Github]
31 May 2023
Control4D: Dynamic Portrait Editing by Learning 4D GAN from 2D Diffusion-based Editor
Ruizhi Shao, Jingxiang Sun, Cheng Peng, Zerong Zheng, Boyao Zhou, Hongwen Zhang, Yebin Liu
arXiv 2023. [Paper] [Project]
31 May 2023
Boosting Text-to-Image Diffusion Models with Fine-Grained Semantic Rewards
Guian Fang, Zutao Jiang, Jianhua Han, Guansong Lu, Hang Xu, Xiaodan Liang
arXiv 2023. [Paper] [Github]
31 May 2023
Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification
Yifei Liu, Rex Shen, Xiaotong Shen
arXiv 2023. [Paper]
30 May 2023
PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation
Jialu Li, Mohit Bansal
arXiv 2023. [Paper] [Project] [Github]
30 May 2023
Video ControlNet: Towards Temporally Consistent Synthetic-to-Real Video Translation Using Conditional Image Diffusion Models
Ernie Chu, Shuo-Yen Lin, Jun-Cheng Chen
arXiv 2023. [Paper]
30 May 2023
Nested Diffusion Processes for Anytime Image Generation
Noam Elata, Bahjat Kawar, Tomer Michaeli, Michael Elad
arXiv 2023. [Paper]
30 May 2023
StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation
Chi Zhang, Yiwen Chen, Yijun Fu, Zhenglin Zhou, Gang YU, Billzb Wang, Bin Fu, Tao Chen, Guosheng Lin, Chunhua Shen
arXiv 2023. [Paper]
30 May 2023
HiFA: High-fidelity Text-to-3D with Advanced Diffusion Guidance
Junzhe Zhu, Peiye Zhuang
arXiv 2023. [Paper]
30 May 2023
LayerDiffusion: Layered Controlled Image Editing with Diffusion Models
Pengzhi Li, QInxuan Huang, Yikang Ding, Zhiheng Li
arXiv 2023. [Paper]
30 May 2023
Controllable Text-to-Image Generation with GPT-4
Tianjun Zhang, Yi Zhang, Vibhav Vineet, Neel Joshi, Xin Wang
arXiv 2023. [Paper]
29 May 2023
Cognitively Inspired Cross-Modal Data Generation Using Diffusion Models
Zizhao Hu, Mohammad Rostami
NeurIPS 2023. [Paper]
28 May 2023
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths
Zeyue Xue, Guanglu Song, Qiushan Guo, Boxiao Liu, Zhuofan Zong, Yu Liu, Ping Luo
arXiv 2023. [Paper]
29 May 2023
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
Yuchao Gu, Xintao Wang, Jay Zhangjie Wu, Yujun Shi, Yunpeng Chen, Zihan Fan, Wuyou Xiao, Rui Zhao, Shuning Chang, Weijia Wu, Yixiao Ge, Ying Shan, Mike Zheng Shou
arXiv 2023. [Paper] [Project]
29 May 2023
Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising
Fu-Yun Wang, Wenshuo Chen, Guanglu Song, Han-Jia Ye, Yu Liu, Hongsheng Li
arXiv 2023. [Paper] [Github]
29 May 2023
Text-Only Image Captioning with Multi-Context Data Generation
Feipeng Ma, Yizhou Zhou, Fengyun Rao, Yueyi Zhang, Xiaoyan Sun
arXiv 2023. [Paper]
29 May 2023
InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions
Qian Wang, Biao Zhang, Michael Birsak, Peter Wonka
arXiv 2023. [Paper]
29 May 2023
Conditional Score Guidance for Text-Driven Image-to-Image Translation
Hyunsoo Lee, Minsoo Kang, Bohyung Han
arXiv 2023. [Paper]
29 May 2023
Text-to-image Editing by Image Information Removal
Zhongping Zhang, Jian Zheng, Jacob Zhiyuan Fang, Bryan A. Plummer
arXiv 2023. [Paper]
27 May 2023
Towards Consistent Video Editing with Text-to-Image Diffusion Models
Zicheng Zhang, Bonan Li, Xuecheng Nie, Congying Han, Tiande Guo, Luoqi Liu
arXiv 2023. [Paper]
27 May 2023
FISEdit: Accelerating Text-to-image Editing via Cache-enabled Sparse Diffusion Inference
Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui
arXiv 2023. [Paper]
27 May 2023
ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing
Min Zhao, Rongzhen Wang, Fan Bao, Chongxuan Li, Jun Zhu
arXiv 2023. [Paper] [Project]
26 May 2023
Improved Visual Story Generation with Adaptive Context Modeling
Zhangyin Feng, Yuchen Ren, Xinmiao Yu, Xiaocheng Feng, Duyu Tang, Shuming Shi, Bing Qin
arXiv 2023. [Paper]
26 May 2023
Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models
Daiki Miyake, Akihiro Iohara, Yu Saito, Toshiyuki Tanaka
arXiv 2023. [Paper]
26 May 2023
Are Diffusion Models Vision-And-Language Reasoners?
Benno Krojer, Elinor Poole-Dayan, Vikram Voleti, Christopher Pal, Siva Reddy
arXiv 2023. [Paper] [Github]
25 May 2023
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models
Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee
arXiv 2023. [Paper]
25 May 2023
Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
Shihao Zhao, Dongdong Chen, Yen-Chun Chen, Jianmin Bao, Shaozhe Hao, Lu Yuan, Kwan-Yee K. Wong
arXiv 2023. [Paper] [Project] [Github]
25 May 2023
Parallel Sampling of Diffusion Models
Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari
arXiv 2023. [Paper] [Github]
25 May 2023
Break-A-Scene: Extracting Multiple Concepts from a Single Image
Omri Avrahami, Kfir Aberman, Ohad Fried, Daniel Cohen-Or, Dani Lischinski
arXiv 2023. [Paper] [Project]
25 May 2023
Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation
Lisa Dunlap, Alyssa Umino, Han Zhang, Jiezhi Yang, Joseph E. Gonzalez, Trevor Darrell
arXiv 2023. [Paper] [Github]
25 May 2023
Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models
Xingqian Xu, Jiayi Guo, Zhangyang Wang, Gao Huang, Irfan Essa, Humphrey Shi
arXiv 2023. [Paper] [Github]
25 May 2023
ProSpect: Expanded Conditioning for the Personalization of Attribute-aware Image Generation
Yuxin Zhang, Weiming Dong, Fan Tang, Nisha Huang, Haibin Huang, Chongyang Ma, Tong-Yee Lee, Oliver Deussen, Changsheng Xu
arXiv 2023. [Paper]
25 May 2023
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu
arXiv 2023. [Paper] [Project]
25 May 2023
On Architectural Compression of Text-to-Image Diffusion Models
Bo-Kyeong Kim, Hyoung-Kyu Song, Thibault Castells, Shinkook Choi
arXiv 2023. [Paper]
25 May 2023
Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models
Jooyoung Choi, Yunjey Choi, Yunji Kim, Junho Kim, Sungroh Yoon
arXiv 2023. [Paper]
25 May 2023
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation
Marco Bellagente, Manuel Brack, Hannah Teufel, Felix Friedrich, Björn Deiseroth, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Koen Oostermeijer, Andres Felipe Cruz-Salinas, Patrick Schramowski, Kristian Kersting, Samuel Weinbach
arXiv 2023. [Paper]
24 May 2023
ChatFace: Chat-Guided Real Face Editing via Diffusion Latent Space Manipulation
Dongxu Yue, Qin Guo, Munan Ning, Jiaxi Cui, Yuesheng Zhu, Li Yuan
arXiv 2023. [Paper]
24 May 2023
DiffBlender: Scalable and Composable Multimodal Text-to-Image Diffusion Models
Sungnyun Kim, Junsoo Lee, Kibeom Hong, Daesik Kim, Namhyuk Ahn
arXiv 2023. [Paper] [Github]
24 May 2023
I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors
Tuhin Chakrabarty, Arkadiy Saakyan, Olivia Winn, Artemis Panagopoulou, Yue Yang, Marianna Apidianaki, Smaranda Muresan
arXiv 2023. [Paper]
24 May 2023
BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
Dongxu Li, Junnan Li, Steven C. H. Hoi
arXiv 2023. [Paper]
24 May 2023
Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models
Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Max Bartolo, Oana Inel, Juan Ciro, Rafael Mosquera, Addison Howard, Will Cukierski, D. Sculley, Vijay Janapa Reddi, Lora Aroyo
arXiv 2023. [Paper]
22 May 2023
Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models
Ruichen Wang, Zekang Chen, Chen Chen, Jian Ma, Haonan Lu, Xiaodong Lin
arXiv 2023. [Paper]
23 May 2023
Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models
Yiting Qu, Xinyue Shen, Xinlei He, Michael Backes, Savvas Zannettou, Yang Zhang
arXiv 2023. [Paper]
23 May 2023
Control-A-Video: Controllable Text-to-Video Generation with Diffusion Models
Weifeng Chen, Jie Wu, Pan Xie, Hefeng Wu, Jiashi Li, Xin Xia, Xuefeng Xiao, Liang Lin
arXiv 2023. [Paper]
23 May 2023
Understanding Text-driven Motion Synthesis with Keyframe Collaboration via Diffusion Models
Dong Wei, Xiaoning Sun, Huaijiang Sun, Bin Li, Shengxiang Hu, Weiqing Li, Jianfeng Lu
arXiv 2023. [Paper]
23 May 2023
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models
Long Lian, Boyi Li, Adam Yala, Trevor Darrell
arXiv 2023. [Paper]
23 May 2023
LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On
Davide Morelli, Alberto Baldrati, Giuseppe Cartella, Marcella Cornia, Marco Bertini, Rita Cucchiara
arXiv 2023. [Paper]
22 May 2023
FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering
Megha Chakraborty, Khusbu Pahwa, Anku Rani, Adarsh Mahor, Aditya Pakala, Arghya Sarkar, Harshit Dave, Ishan Paul, Janvita Reddy, Preethi Gurumurthy, Ritvik G, Samahriti Mukherjee, Shreyas Chatterjee, Kinjal Sensharma, Dwip Dalal, Suryavardan S, Shreyash Mishra, Parth Patwa, Aman Chadha, Amit Sheth, Amitava Das
arXiv 2023. [Paper]
22 May 2023
Training Diffusion Models with Reinforcement Learning
Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine
arXiv 2023. [Paper]
22 May 2023
If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection
Shyamgopal Karthik, Karsten Roth, Massimiliano Mancini, Zeynep Akata
arXiv 2023. [Paper] [Project]
22 May 2023
ControlVideo: Training-free Controllable Text-to-Video Generation
Yabo Zhang, Yuxiang Wei, Dongsheng Jiang, Xiaopeng Zhang, Wangmeng Zuo, Qi Tian
arXiv 2023. [Paper] [Github]
22 May 2023
AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation
Guy Yariv, Itai Gat, Lior Wolf, Yossi Adi, Idan Schwartz
arXiv 2023. [Paper]
22 May 2023
The CLIP Model is Secretly an Image-to-Prompt Converter
Yuxuan Ding, Chunna Tian, Haoxuan Ding, Lingqiao Liu
arXiv 2023. [Paper]
22 May 2023
InstructVid2Vid: Controllable Video Editing with Natural Language Instructions
Bosheng Qin, Juncheng Li, Siliang Tang, Tat-Seng Chua, Yueting Zhuang
arXiv 2023. [Paper]
21 May 2023
SneakyPrompt: Evaluating Robustness of Text-to-image Generative Models' Safety Filters
Yuchen Yang, Bo Hui, Haolin Yuan, Neil Gong, Yinzhi Cao
arXiv 2023. [Paper]
20 May 2023
Late-Constraint Diffusion Guidance for Controllable Image Synthesis
Chang Liu, Dong Liu
arXiv 2023. [Paper] [Project] [Github]
19 May 2023
Any-to-Any Generation via Composable Diffusion
Zineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng, Mohit Bansal
arXiv 2023. [Paper] [Project] [Github]
19 May 2023
Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields
Jingbo Zhang, Xiaoyu Li, Ziyu Wan, Can Wang, Jing Liao
arXiv 2023. [Paper]
19 May 2023
Brain Captioning: Decoding human brain activity into images and text
Matteo Ferrante, Furkan Ozcelik, Tommaso Boccato, Rufin VanRullen, Nicola Toschi
arXiv 2023. [Paper]
19 May 2023
Efficient Cross-Lingual Transfer for Chinese Stable Diffusion with Images as Pivots
Jinyi Hu, Xu Han, Xiaoyuan Yi, Yutong Chen, Wenhao Li, Zhiyuan Liu, Maosong Sun
arXiv 2023. [Paper]
19 May 2023
Discriminative Diffusion Models as Few-shot Vision and Language Learners
Xuehai He, Weixi Feng, Tsu-Jui Fu, Varun Jampani, Arjun Akula, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang
arXiv 2023. [Paper]
18 May 2023
Zero-Day Backdoor Attack against Text-to-Image Diffusion Models via Personalization
Yihao Huang, Qing Guo, Felix Juefei-Xu
arXiv 2023. [Paper]
18 May 2023
AIwriting: Relations Between Image Generation and Digital Writing
Scott Rettberg, Talan Memmott, Jill Walker Rettberg, Jason Nelson, Patrick Lichty
ISEA 2023. [Paper]
18 May 2023
TextDiffuser: Diffusion Models as Text Painters
Jingye Chen, Yupan Huang, Tengchao Lv, Lei Cui, Qifeng Chen, Furu Wei
arXiv 2023. [Paper]
18 May 2023
VideoFactory: Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generation
Wenjing Wang, Huan Yang, Zixi Tuo, Huiguo He, Junchen Zhu, Jianlong Fu, Jiaying Liu
arXiv 2023. [Paper]
18 May 2023
LDM3D: Latent Diffusion Model for 3D
Gabriela Ben Melech Stan, Diana Wofk, Scottie Fox, Alex Redden, Will Saxton, Jean Yu, Estelle Aflalo, Shao-Yen Tseng, Fabio Nonato, Matthias Muller, Vasudev Lal
arXiv 2023. [Paper]
18 May 2023
X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language Models
Yixiong Chen
arXiv 2023. [Paper] [Github]
18 May 2023
Inspecting the Geographical Representativeness of Images from Text-to-Image Models
Abhipsa Basu, R. Venkatesh Babu, Danish Pruthi
arXiv 2023. [Paper]
18 May 2023
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models
Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji
arXiv 2023. [Paper] [Project]
17 May 2023
AMD: Autoregressive Motion Diffusion
Bo Han, Hao Peng, Minjing Dong, Chang Xu, Yi Ren, Yixuan Shen, Yuheng Li
arXiv 2023. [Paper]
16 May 2023
Generating coherent comic with rich story using ChatGPT and Stable Diffusion
Ze Jin, Zorina Song
arXiv 2023. [Paper]
16 May 2023
Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation
Samaneh Azadi, Akbar Shah, Thomas Hayes, Devi Parikh, Sonal Gupta
arXiv 2023. [Paper] [Project]
16 May 2023
Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts
Yuyang Zhao, Enze Xie, Lanqing Hong, Zhenguo Li, Gim Hee Lee
arXiv 2023. [Paper] [Project] [Github]
15 May 2023
Common Diffusion Noise Schedules and Sample Steps are Flawed
Shanchuan Lin, Bingchen Liu, Jiashi Li, Xiao Yang
arXiv 2023. [Paper]
15 May 2023
Interactive Fashion Content Generation Using LLMs and Latent Diffusion Models
Krishna Sri Ipsit Mantri, Nevasini Sasikumar
arXiv 2023. [Paper]
15 May 2023
Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator
Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wanrong Huang, Wenjing Yang
arXiv 2023. [Paper] [Project] [Github]
11 May 2023
iEdit: Localised Text-guided Image Editing with Weak Supervision
Rumeysa Bodur, Erhan Gundogdu, Binod Bhattarai, Tae-Kyun Kim, Michael Donoser, Loris Bazzani
arXiv 2023. [Paper]
10 May 2023
SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models
Shanshan Zhong, Zhongzhan Huang, Wushao Wen, Jinghui Qin, Liang Lin
arXiv 2023. [Paper] [Github]
9 May 2023
Style-A-Video: Agile Diffusion for Arbitrary Text-based Video Style Transfer
Nisha Huang, Yuxin Zhang, Weiming Dong
arXiv 2023. [Paper]
9 May 2023
DiffuseStyleGesture: Stylized Audio-Driven Co-Speech Gesture Generation with Diffusion Models
Sicheng Yang, Zhiyong Wu, Minglei Li, Zhensong Zhang, Lei Hao, Weihong Bao, Ming Cheng, Long Xiao
IJCAI 2023. [Paper] [Github]
8 May 2023
IIITD-20K: Dense captioning for Text-Image ReID
A V Subramanyam, Niranjan Sundararajan, Vibhu Dubey, Brejesh Lall
arXiv 2023. [Paper]
8 May 2023
ReGeneration Learning of Diffusion Models with Rich Prompts for Zero-Shot Image Translation
Yupei Lin, Sen Zhang, Xiaojun Yang, Xiao Wang, Yukai Shi
arXiv 2023. [Paper] [Project]
8 May 2023
Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Models
Wenkai Dong, Song Xue, Xiaoyue Duan, Shumin Han
arXiv 2023. [Paper]
8 May 2023
Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning
Shengfang Zhai, Yinpeng Dong, Qingni Shen, Shi Pu, Yuejian Fang, Hang Su
arXiv 2023. [Paper]
7 May 2023
AADiff: Audio-Aligned Video Synthesis with Text-to-Image Diffusion
Seungwoo Lee, Chaerin Kong, Donghyeon Jeon, Nojun Kwak
arXiv 2023. [Paper]
6 May 2023
Data Curation for Image Captioning with Text-to-Image Generative Models
Wenyan Li, Jonas F. Lotz, Chen Qiu, Desmond Elliott
arXiv 2023. [Paper]
5 May 2023
DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation
Hong Chen, Yipeng Zhang, Xin Wang, Xuguang Duan, Yuwei Zhou, Wenwu Zhu
arXiv 2023. [Paper] [Project]
5 May 2023
Guided Image Synthesis via Initial Image Editing in Diffusion Model
Jiafeng Mao, Xueting Wang, Kiyoharu Aizawa
arXiv 2023. [Paper]
5 May 2023
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion
Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, ShengYun Peng, Austin Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau
arXiv 2023. [Paper] [Project]
4 May 2023
Multimodal-driven Talking Face Generation, Face Swapping, Diffusion Model
Chao Xu, Shaoting Zhu, Junwei Zhu, Tianxin Huang, Jiangning Zhang, Ying Tai, Yong Liu
arXiv 2023. [Paper]
4 May 2023
Multimodal Data Augmentation for Image Captioning using Diffusion Models
Changrong Xiao, Sean Xin Xu, Kunpeng Zhang
arXiv 2023. [Paper]
3 May 2023
In-Context Learning Unlocked for Diffusion Models
Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang Wang, Mingyuan Zhou
arXiv 2023. [Paper] [Project] [Github]
1 May 2023
SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis
Azade Farshad, Yousef Yeganeh, Yu Chi, Chengzhi Shen, Björn Ommer, Nassir Navab
arXiv 2023. [Paper]
28 Apr 2023
It is all about where you start: Text-to-image generation with seed selection
Dvir Samuel, Rami Ben-Ari, Simon Raviv, Nir Darshan, Gal Chechik
arXiv 2023. [Paper]
27 Apr 2023
Edit Everything: A Text-Guided Generative System for Images Editing
Defeng Xie, Ruichen Wang, Jian Ma, Chen Chen, Haonan Lu, Dong Yang, Fobo Shi, Xiaodong Lin
arXiv 2023. [Paper] [Github]
27 Apr 2023
Training-Free Location-Aware Text-to-Image Synthesis
Jiafeng Mao, Xueting Wang
arXiv 2023. [Paper]
26 Apr 2023
TextMesh: Generation of Realistic 3D Meshes From Text Prompts
Christina Tsalicoglou, Fabian Manhardt, Alessio Tonioni, Michael Niemeyer, Federico Tombari
arXiv 2023. [Paper]
24 Apr 2023
Using Text-to-Image Generation for Architectural Design Ideation
Ville Paananen, Jonas Oppenlaender, Aku Visuri
arXiv 2023. [Paper]
20 Apr 2023
Anything-3D: Towards Single-view Anything Reconstruction in the Wild
Qiuhong Shen, Xingyi Yang, Xinchao Wang
arXiv 2023. [Paper] [Github]
19 Apr 2023
UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfer
Soon Yau Cheong, Armin Mustafa, Andrew Gilbert
arXiv 2023. [Paper] [Github]
18 Apr 2023
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models
Yuwei Yin, Jean Kaddour, Xiang Zhang, Yixin Nie, Zhenguang Liu, Lingpeng Kong, Qi Liu
arXiv 2023. [Paper]
18 Apr 2023
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
Andreas Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, Karsten Kreis
CVPR 2023. [Paper] [Project]
18 Apr 2023
Text2Performer: Text-Driven Human Video Generation
Yuming Jiang, Shuai Yang, Tong Liang Koh, Wayne Wu, Chen Change Loy, Ziwei Liu
arXiv 2023. [Paper] [Project]
17 Apr 2023
Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation
Jie An, Songyang Zhang, Harry Yang, Sonal Gupta, Jia-Bin Huang, Jiebo Luo, Xi Yin
arXiv 2023. [Paper] [Project]
17 Apr 2023
MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing
Mingdeng Cao, Xintao Wang, Zhongang Qi, Ying Shan, Xiaohu Qie, Yinqiang Zheng
arXiv 2023. [Paper] [Github]
17 Apr 2023
Text-Conditional Contextualized Avatars For Zero-Shot Personalization
Samaneh Azadi, Thomas Hayes, Akbar Shah, Guan Pang, Devi Parikh, Sonal Gupta
arXiv 2023. [Paper]
14 Apr 2023
Delta Denoising Score
Amir Hertz, Kfir Aberman, Daniel Cohen-Or
arXiv 2023. [Paper] [Project]
14 Apr 2023
Expressive Text-to-Image Generation with Rich Text
Songwei Ge, Taesung Park, Jun-Yan Zhu, Jia-Bin Huang
arXiv 2023. [Paper] [Project] [Github]
13 Apr 2023
Soundini: Sound-Guided Diffusion for Natural Video Editing
Seung Hyun Lee, Sieun Kim, Innfarn Yoo, Feng Yang, Donghyeon Cho, Youngseo Kim, Huiwen Chang, Jinkyu Kim, Sangpil Kim
arXiv 2023. [Paper] [Project]
13 Apr 2023
Improving Diffusion Models for Scene Text Editing with Dual Encoders
Jiabao Ji, Guanhua Zhang, Zhaowen Wang, Bairu Hou, Zhifei Zhang, Brian Price, Shiyu Chang
arXiv 2023. [Paper] [Github]
12 Apr 2023
An Edit Friendly DDPM Noise Space: Inversion and Manipulations
Inbar Huberman-Spiegelglas, Vladimir Kulikov, Tomer Michaeli
arXiv 2023. [Paper]
12 Apr 2023
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA
James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin
arXiv 2023. [Paper] [Project]
12 Apr 2023
HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models
Eslam Mohamed Bakr, Pengzhan Sun, Xiaoqian Shen, Faizan Farooq Khan, Li Erran Li, Mohamed Elhoseiny
arXiv 2023. [Paper] [Project]
11 Apr 2023
Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond
Mohammadreza Armandpour, Huangjie Zheng, Ali Sadeghian, Amir Sadeghian, Mingyuan Zhou
arXiv 2023. [Paper]
11 Apr 2023
Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models
Nikita Starodubcev, Dmitry Baranchuk, Valentin Khrulkov, Artem Babenko
arXiv 2023. [Paper]
10 Apr 2023
HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation
Xuan Ju, Ailing Zeng, Chenchen Zhao, Jianan Wang, Lei Zhang, Qiang Xu
arXiv 2023. [Paper] [Github]
9 Apr 2023
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis
Qiucheng Wu, Yujian Liu, Handong Zhao, Trung Bui, Zhe Lin, Yang Zhang, Shiyu Chang
arXiv 2023. [Paper] [Github]
7 Apr 2023
Zero-shot Generative Model Adaptation via Image-specific Prompt Learning
Jiayi Guo, Chaofei Wang, You Wu, Eric Zhang, Kai Wang, Xingqian Xu, Shiji Song, Humphrey Shi, Gao Huang
CVPR 2023. [Paper] [Github]
6 Apr 2023
Training-Free Layout Control with Cross-Attention Guidance
Minghao Chen, Iro Laina, Andrea Vedaldi
arXiv 2023. [Paper] [Project] [Github]
6 Apr 2023
Benchmarking Robustness to Text-Guided Corruptions
Mohammadreza Mofayezi, Yasamin Medghalchi
arXiv 2023. [Paper]
6 Apr 2023
DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model
Hoigi Seo, Hayeon Kim, Gwanghyun Kim, Se Young Chun
arXiv 2023. [Paper] [Project]
6 Apr 2023
Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models
Xuhui Jia, Yang Zhao, Kelvin C.K. Chan, Yandong Li, Han Zhang, Boqing Gong, Tingbo Hou, Huisheng Wang, Yu-Chuan Su
arXiv 2023. [Paper]
5 Apr 2023
A Diffusion-based Method for Multi-turn Compositional Image Generation
Chao Wang, Xiaoyu Yang, Jinmiao Huang, Kevin Ferreira
arXiv 2023. [Paper]
5 Apr 2023
viz2viz: Prompt-driven stylized visualization generation using a diffusion model
Jiaqi Wu, John Joon Young Chung, Eytan Adar
arXiv 2023. [Paper]
4 Apr 2023
Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing
Alberto Baldrati, Davide Morelli, Giuseppe Cartella, Marcella Cornia, Marco Bertini, Rita Cucchiara
arXiv 2023. [Paper]
4 Apr 2023
PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion
Gwanghyun Kim, Ji Ha Jang, Se Young Chun
arXiv 2023. [Paper] [Project]
4 Apr 2023
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models
Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang
arXiv 2023. [Paper]
4 Apr 2023
ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model
Mingyuan Zhang, Xinying Guo, Liang Pan, Zhongang Cai, Fangzhou Hong, Huirong Li, Lei Yang, Ziwei Liu
arXiv 2023. [Paper] [Project] [Github]
3 Apr 2023
DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models
Yukang Cao, Yan-Pei Cao, Kai Han, Ying Shan, Kwan-Yee K. Wong
arXiv 2023. [Paper]
3 Apr 2023
DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance
Longwen Zhang, Qiwei Qiu, Hongyang Lin, Qixuan Zhang, Cheng Shi, Wei Yang, Ye Shi, Sibei Yang, Lan Xu, Jingyi Yu
arXiv 2023. [Paper] [Project]
1 Apr 2023
GlyphDraw: Learning to Draw Chinese Characters in Image Synthesis Models Coherently
Jian Ma, Mingjun Zhao, Chen Chen, Ruichen Wang, Di Niu, Haonan Lu, Xiaodong Lin
arXiv 2023. [Paper] [Project]
31 Mar 2023
AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control
Ruixiang Jiang, Can Wang, Jingbo Zhang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao
arXiv 2023. [Paper] [Project] [Github]
30 Mar 2023
PAIR-Diffusion: Object-Level Image Editing with Structure-and-Appearance Paired Diffusion Models
Vidit Goel, Elia Peruzzo, Yifan Jiang, Dejia Xu, Nicu Sebe, Trevor Darrell, Zhangyang Wang, Humphrey Shi
arXiv 2023. [Paper] [Github]
30 Mar 2023
Social Biases through the Text-to-Image Generation Lens
Ranjita Naik, Besmira Nushi
arXiv 2023. [Paper]
30 Mar 2023
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models
Eric Zhang, Kai Wang, Xingqian Xu, Zhangyang Wang, Humphrey Shi
arXiv 2023. [Paper] [Github]
30 Mar 2023
DiffCollage: Parallel Generation of Large Content with Diffusion Models
Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu
CVPR 2023. [Paper] [Project]
30 Mar 2023
Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models
Wen Wang, Kangyang Xie, Zide Liu, Hao Chen, Yue Cao, Xinlong Wang, Chunhua Shen
arXiv 2023. [Paper]
30 Mar 2023
Discriminative Class Tokens for Text-to-Image Diffusion Models
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arXiv 2023. [Paper]
30 Mar 2023
DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder
Chenpng Du, Qi Chen, Tianyu He, Xu Tan, Xie Chen, Kai Yu, Sheng Zhao, Jiang Bian
arXiv 2023. [Paper]
30 Mar 2023
LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation
Guangcong Zheng, Xianpan Zhou, Xuewei Li, Zhongang Qi, Ying Shan, Xi Li
CVPR 2023. [Paper] [Github]
30 Mar 2023
4D Facial Expression Diffusion Model
Kaifeng Zou, Sylvain Faisan, Boyang Yu, Sébastien Valette, Hyewon Seo
arXiv 2023. [Paper] [Github]
29 Mar 2023
MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion Path
Qian Wang, Biao Zhang, Michael Birsak, Peter Wonka
arXiv 2023. [Paper] [Github]
29 Mar 2023
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arXiv 2023. [Paper] [Github]
28 Mar 2023
StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing
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arXiv 2023. [Paper]
28 Mar 2023
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CVPR Workshop 2023. [Paper]
27 Mar 2023
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arXiv 2023. [Paper]
27 Mar 2023
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis
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SIGGRAPH 2023. [Paper] [Github]
27 Mar 2023
GestureDiffuCLIP: Gesture Diffusion Model with CLIP Latents
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arXiv 2023. [Paper]
26 Mar 2023
Better Aligning Text-to-Image Models with Human Preference
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25 Mar 2023
ISS++: Image as Stepping Stone for Text-Guided 3D Shape Generation
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ICLR 2023. [Paper]
24 Mar 2023
DiffuScene: Scene Graph Denoising Diffusion Probabilistic Model for Generative Indoor Scene Synthesis
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arXiv 2023. [Paper] [Project]
24 Mar 2023
CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout
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arXiv 2023. [Paper] [Project]
24 Mar 2023
Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation
Rui Chen, Yongwei Chen, Ningxin Jiao, Kui Jia
arXiv 2023. [Paper]
24 Mar 2023
ReVersion: Diffusion-Based Relation Inversion from Images
Ziqi Huang, Tianxing Wu, Yuming Jiang, Kelvin C.K. Chan, Ziwei Liu
arXiv 2023. [Paper] [Project] [Github]
23 Mar 2023
Ablating Concepts in Text-to-Image Diffusion Models
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arXiv 2023. [Paper] [Project] [Github]
23 Mar 2023
Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators
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arXiv 2023. [Paper] [Github]
23 Mar 2023
MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models
Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wenjing Yang
arXiv 2023. [Paper] [Project] [Github]
23 Mar 2023
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Duygu Ceylan, Chun-Hao Paul Huang, Niloy J. Mitra
arXiv 2023. [Paper] [Project]
22 Mar 2023
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions
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arXiv 2023. [Paper] [Project]
22 Mar 2023
SALAD: Part-Level Latent Diffusion for 3D Shape Generation and Manipulation
Juil Koo, Seungwoo Yoo, Minh Hieu Nguyen, Minhyuk Sung
arXiv 2023. [Paper] [Project]
21 Mar 2023
Vox-E: Text-guided Voxel Editing of 3D Objects
Etai Sella, Gal Fiebelman, Peter Hedman, Hadar Averbuch-Elor
arXiv 2023. [Paper] [Project]
21 Mar 2023
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion
Geonmo Gu, Sanghyuk Chun, Wonjae Kim, HeeJae Jun, Yoohoon Kang, Sangdoo Yun
arXiv 2023. [Paper]
21 Mar 2023
3D-CLFusion: Fast Text-to-3D Rendering with Contrastive Latent Diffusion
Yu-Jhe Li, Kris Kitani
arXiv 2023. [Paper]
21 Mar 2023
Text2Tex: Text-driven Texture Synthesis via Diffusion Models
Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner
arXiv 2023. [Paper] [Project]
20 Mar 2023
Localizing Object-level Shape Variations with Text-to-Image Diffusion Models
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arXiv 2023. [Paper] [Project]
20 Mar 2023
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Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris Metaxas, Feng Yang
arXiv 2023. [Paper]
20 Mar 2023
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René Haas, Inbar Huberman-Spiegelglas, Rotem Mulayoff, Tomer Michaeli
arXiv 2023. [Paper]
20 Mar 2023
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Aryan Mikaeili, Or Perel, Daniel Cohen-Or, Ali Mahdavi-Amiri
arxiv 2023. [Paper]
19 Mar 2023
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Jingxuan Wei, Shiyu Wu, Xin Jiang, Yequan Wang
arXiv 2023. [Paper]
17 Mar 2023
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation
Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu
arXiv 2023. [Paper]
17 Mar 2023
DiffusionRet: Generative Text-Video Retrieval with Diffusion Model
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arXiv 2023. [Paper]
17 Mar 2023
FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model
Jiwen Yu, Yinhuai Wang, Chen Zhao, Bernard Ghanem, Jian Zhang
arXiv 2023. [Paper] [Github]
17 Mar 2023
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Yiyang Ma, Huan Yang, Wenjing Wang, Jianlong Fu, Jiaying Liu
arXiv 2023. [Paper]
16 Mar 2023
FateZero: Fusing Attentions for Zero-shot Text-based Video Editing
Chenyang Qi, Xiaodong Cun, Yong Zhang, Chenyang Lei, Xintao Wang, Ying Shan, Qifeng Chen
arXiv 2023. [Paper] [Project] [Github]
16 Mar 2023
HIVE: Harnessing Human Feedback for Instructional Visual Editing
Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu
arXiv 2023. [Paper]
16 Mar 2023
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Andrey Voynov, Qinghao Chu, Daniel Cohen-Or, Kfir Aberman
arXiv 2023. [Paper] [Project]
16 Mar 2023
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Inhwa Han, Serin Yang, Taesung Kwon, Jong Chul Ye
arXiv 2023. [Paper]
15 Mar 2023
Aerial Diffusion: Text Guided Ground-to-Aerial View Translation from a Single Image using Diffusion Models
Divya Kothandaraman, Tianyi Zhou, Ming Lin, Dinesh Manocha
arXiv 2023. [Paper] [Github]
15 Mar 2023
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Serin Yang, Hyunmin Hwang, Jong Chul Ye
arXiv 2023. [Paper]
15 Mar 2023
Edit-A-Video: Single Video Editing with Object-Aware Consistency
Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon
arXiv 2023. [Paper] [Project]
14 Mar 2023
Editing Implicit Assumptions in Text-to-Image Diffusion Models
Hadas Orgad, Bahjat Kawar, Yonatan Belinkov
arXiv 2023. [Paper] [Project] [Github]
14 Mar 2023
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
Junyoung Seo, Wooseok Jang, Min-Seop Kwak, Jaehoon Ko, Hyeonsu Kim, Junho Kim, Jin-Hwa Kim, Jiyoung Lee, Seungryong Kim
arXiv 2023. [Paper]
14 Mar 2023
Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models
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arXiv 2023. [Paper] [Github]
8 Mar 2023
Video-P2P: Video Editing with Cross-attention Control
Shaoteng Liu, Yuechen Zhang, Wenbo Li, Zhe Lin, Jiaya Jia
arXiv 2023. [Paper] [Project]
8 Mar 2023
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Rohit Gandikota, Joanna Materzynska, Jaden Fiotto-Kaufman, David Bau
arXiv 2023. [Paper] [Project] [Github]
13 Mar 2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
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arXiv 2023. [Paper] [Github]
12 Mar 2023
Cones: Concept Neurons in Diffusion Models for Customized Generation
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9 Mar 2023
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arXiv 2023. [Paper]
8 Mar 2023
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7 Mar 2023
Unleashing Text-to-Image Diffusion Models for Visual Perception
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arXiv 2023. [Paper] [Github]
3 Mar 2023
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arXiv 2023. [Paper]
1 Mar 2023
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arXiv 2023. [Paper]
28 Feb 2023
Directed Diffusion: Direct Control of Object Placement through Attention Guidance
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arXiv 2023. [Paper]
25 Feb 2023
Modulating Pretrained Diffusion Models for Multimodal Image Synthesis
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arXiv 2023. [Paper]
24 Feb 2023
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Nisha Huang, Fan Tang, Weiming Dong, Tong-Yee Lee, Changsheng Xu
arXiv 2023. [Paper] [Github]
23 Feb 2023
Controlled and Conditional Text to Image Generation with Diffusion Prior
Pranav Aggarwal, Hareesh Ravi, Naveen Marri, Sachin Kelkar, Fengbin Chen, Vinh Khuc, Midhun Harikumar, Ritiz Tambi, Sudharshan Reddy Kakumanu, Purvak Lapsiya, Alvin Ghouas, Sarah Saber, Malavika Ramprasad, Baldo Faieta, Ajinkya Kale
arXiv 2023. [Paper]
23 Feb 2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
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22 Feb 2023
Learning 3D Photography Videos via Self-supervised Diffusion on Single Images
Xiaodong Wang, Chenfei Wu, Shengming Yin, Minheng Ni, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Fan Yang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan
arXiv 2023. [Paper]
21 Feb 2023
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arXiv 2023. [Paper]
16 Feb 2023
Text-driven Visual Synthesis with Latent Diffusion Prior
Ting-Hsuan Liao, Songwei Ge, Yiran Xu, Yao-Chih Lee, Badour AlBahar, Jia-Bin Huang
arXiv 2023. [Paper] [Project]
16 Feb 2023
T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models
Chong Mou, Xintao Wang, Liangbin Xie, Jian Zhang, Zhongang Qi, Ying Shan, Xiaohu Qie
arXiv 2023. [Paper] [Github]
16 Feb 2023
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
Omer Bar-Tal, Lior Yariv, Yaron Lipman, Tali Dekel
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16 Feb 2023
Boundary Guided Mixing Trajectory for Semantic Control with Diffusion Models
Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan
arXiv 2023. [Paper]
16 Feb 2023
Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
Joshua Vendrow, Saachi Jain, Logan Engstrom, Aleksander Madry
arXiv 2023. [Paper] [Github]
15 Feb 2023
PRedItOR: Text Guided Image Editing with Diffusion Prior
Hareesh Ravi, Sachin Kelkar, Midhun Harikumar, Ajinkya Kale
arXiv 2023. [Paper]
15 Feb 2023
Text-Guided Scene Sketch-to-Photo Synthesis
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arXiv 2023. [Paper]
14 Feb 2023
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Arpit Bansal, Hong-Min Chu, Avi Schwarzschild, Soumyadip Sengupta, Micah Goldblum, Jonas Geiping, Tom Goldstein
arXiv 2023. [Paper] [Github]
14 Feb 2023
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang, Maneesh Agrawala
arXiv 2023. [Paper] [Github]
10 Feb 2023
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Chaerin Kong, Nojun Kwak
arXiv 2023. [Paper]
10 Feb 2023
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Anton Voronov, Mikhail Khoroshikh, Artem Babenko, Max Ryabinin
arXiv 2023. [Paper]
9 Feb 2023
Q-Diffusion: Quantizing Diffusion Models
Xiuyu Li, Long Lian, Yijiang Liu, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer
arXiv 2023. [Paper] [Github]
8 Feb 2023
GLAZE: Protecting Artists from Style Mimicry by Text-to-Image Models
Shawn Shan, Jenna Cryan, Emily Wenger, Haitao Zheng, Rana Hanocka, Ben Y. Zhao
arXiv 2023. [Paper]
8 Feb 2023
Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models
Hyeonho Jeong, Gihyun Kwon, Jong Chul Ye
arXiv 2023. [Paper]
8 Feb 2023
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness
Felix Friedrich, Patrick Schramowski, Manuel Brack, Lukas Struppek, Dominik Hintersdorf, Sasha Luccioni, Kristian Kersting
arXiv 2023. [Paper]
7 Feb 2023
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
Yuxin Wen, Neel Jain, John Kirchenbauer, Micah Goldblum, Jonas Geiping, Tom Goldstein
arXiv 2023. [Paper] [Github]
7 Feb 2023
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Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu
arXiv 2023. [Paper]
6 Feb 2023
Structure and Content-Guided Video Synthesis with Diffusion Models
Patrick Esser, Johnathan Chiu, Parmida Atighehchian, Jonathan Granskog, Anastasis Germanidis
arXiv 2023. [Paper] [Project]
6 Feb 2023
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Álvaro Barbero Jiménez
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5 Feb 2023
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval
Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li
arXiv 2023. [Paper]
5 Feb 2023
Eliminating Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion
Zuopeng Yang, Tianshu Chu, Xin Lin, Erdun Gao, Daqing Liu, Jie Yang, Chaoyue Wang
arXiv 2023. [Paper]
5 Feb 2023
Semantic-Guided Image Augmentation with Pre-trained Models
Bohan Li, Xinghao Wang, Xiao Xu, Yutai Hou, Yunlong Feng, Feng Wang, Wanxiang Che
SIGGRAPH 2023. [Paper] [Project]
4 Feb 2023
TEXTure: Text-Guided Texturing of 3D Shapes
Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, Daniel Cohen-Or
arXiv 2023. [Paper] [Project] [Github]
3 Feb 2023
Dreamix: Video Diffusion Models are General Video Editors
Eyal Molad, Eliahu Horwitz, Dani Valevski, Alex Rav Acha, Yossi Matias, Yael Pritch, Yaniv Leviathan, Yedid Hoshen
arXiv 2023. [Paper] [Project]
2 Feb 2023
Trash to Treasure: Using text-to-image models to inform the design of physical artefacts
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AAAI 2023. [Paper]
1 Feb 2023
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models
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31 Jan 2023
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Bo Han, Yitong Liu, Yixuan Shen
arXiv 2023. [Paper]
31 Jan 2023
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Yao-Chih Lee, Ji-Ze Genevieve Jang, Yi-Ting Chen, Elizabeth Qiu, Jia-Bin Huang
arXiv 2023. [Paper] [Project]
30 Jan 2023
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks
Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
arXiv 2023. [Paper] [Github]
30 Jan 2023
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
Ming Tao, Bing-Kun Bao, Hao Tang, Changsheng Xu
CVPR 2023. [Paper] [Github]
30 Jan 2023
SEGA: Instructing Diffusion using Semantic Dimensions
Manuel Brack, Felix Friedrich, Dominik Hintersdorf, Lukas Struppek, Patrick Schramowski, Kristian Kersting
arXiv 2023. [Paper]
28 Jan 2023
Towards Equitable Representation in Text-to-Image Synthesis Models with the Cross-Cultural Understanding Benchmark (CCUB) Dataset
Zhixuan Liu, Youeun Shin, Beverley-Claire Okogwu, Youngsik Yun, Lia Coleman, Peter Schaldenbrand, Jihie Kim, Jean Oh
arXiv 2023. [Paper]
28 Jan 2023
Text-To-4D Dynamic Scene Generation
Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman
arXiv 2023. [Paper]
26 Jan 2023
Guiding Text-to-Image Diffusion Model Towards Grounded Generation
Ziyi Li, Qinye Zhou, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie
arXiv 2023. [Paper] [Project]
12 Jan 2023
Speech Driven Video Editing via an Audio-Conditioned Diffusion Model
Dan Bigioi, Shubhajit Basak, Hugh Jordan, Rachel McDonnell, Peter Corcoran
arXiv 2023. [Paper] [Project] [Github]
10 Jan 2023
Visual Story Generation Based on Emotion and Keywords
Yuetian Chen, Ruohua Li, Bowen Shi, Peiru Liu, Mei Si
AIIDE INT 2022. [Paper]
7 Jan 2023
DiffTalk: Crafting Diffusion Models for Generalized Talking Head Synthesis
Shuai Shen, Wenliang Zhao, Zibin Meng, Wanhua Li, Zheng Zhu, Jie Zhou, Jiwen Lu
arXiv 2023. [Paper]
10 Jan 2023
Speech Driven Video Editing via an Audio-Conditioned Diffusion Model
Dan Bigioi, Shubhajit Basak, Hugh Jordan, Rachel McDonnell, Peter Corcoran
arXiv 2023. [Paper]
10 Jan 2023
Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation
Michał Stypułkowski, Konstantinos Vougioukas, Sen He, Maciej Zięba, Stavros Petridis, Maja Pantic
arXiv 2023. [Paper] [Project]
6 Jan 2023
Muse: Text-To-Image Generation via Masked Generative Transformers
Huiwen Chang, Han Zhang, Jarred Barber, AJ Maschinot, Jose Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan
arXiv 2023. [Paper] [Project]
2 Jan 2023
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models
Jiale Xu, Xintao Wang, Weihao Cheng, Yan-Pei Cao, Ying Shan, Xiaohu Qie, Shenghua Gao
CVPR 2023. [Paper] [Project]
28 Dec 2022
Exploring Vision Transformers as Diffusion Learners
He Cao, Jianan Wang, Tianhe Ren, Xianbiao Qi, Yihao Chen, Yuan Yao, Lei Zhang
arXiv 2022. [Paper]
28 Dec 2022
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Weixian Lei, Yuchao Gu, Wynne Hsu, Ying Shan, Xiaohu Qie, Mike Zheng Shou
arXiv 2022. [Paper] [Project]
22 Dec 2022
Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias
Robert Wolfe, Yiwei Yang, Bill Howe, Aylin Caliskan
arXiv 2022. [Paper]
21 Dec 2022
Optimizing Prompts for Text-to-Image Generation
Yaru Hao, Zewen Chi, Li Dong, Furu Wei
arXiv 2022. [Paper] [Project] [Github]
19 Dec 2022
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models
Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang
arXiv 2022. [Paper] [Github]
16 Dec 2022
TeTIm-Eval: a novel curated evaluation data set for comparing text-to-image models
Federico A. Galatolo, Mario G. C. A. Cimino, Edoardo Cogotti
arXiv 2022. [Paper]
15 Dec 2022
The Infinite Index: Information Retrieval on Generative Text-To-Image Models
Niklas Deckers, Maik Fröbe, Johannes Kiesel, Gianluca Pandolfo, Christopher Schröder, Benno Stein, Martin Potthast
CHIIR 2023. [Paper]
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LidarCLIP or: How I Learned to Talk to Point Clouds
Georg Hess, Adam Tonderski, Christoffer Petersson, Lennart Svensson, Kalle Åström
arXiv 2022. [Paper] [Github]
13 Dec 2022
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting
Su Wang, Chitwan Saharia, Ceslee Montgomery, Jordi Pont-Tuset, Shai Noy, Stefano Pellegrini, Yasumasa Onoe, Sarah Laszlo, David J. Fleet, Radu Soricut, Jason Baldridge, Mohammad Norouzi, Peter Anderson, William Chan
CVPR 2023. [Paper]
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The Stable Artist: Steering Semantics in Diffusion Latent Space
Manuel Brack, Patrick Schramowski, Felix Friedrich, Dominik Hintersdorf, Kristian Kersting
arXiv 2022. [Paper]
12 Dec 2022
SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model
Shaoan Xie, Zhifei Zhang, Zhe Lin, Tobias Hinz, Kun Zhang
arXiv 2022. [Paper]
9 Dec 2022
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis
Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang
ICLR 2023. [Paper] [Github]
9 Dec 2022
MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis
Rishabh Dabral, Muhammad Hamza Mughal, Vladislav Golyanik, Christian Theobalt
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8 Dec 2022
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation
Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tulyakov, Alexander Schwing, Liangyan Gui
arXiv 2022. [Paper] [Project]
8 Dec 2022
SINE: SINgle Image Editing with Text-to-Image Diffusion Models
Zhixing Zhang, Ligong Han, Arnab Ghosh, Dimitris Metaxas, Jian Ren
arXiv 2022. [Paper] [Project] [Github]
8 Dec 2022
Multi-Concept Customization of Text-to-Image Diffusion
Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
arXiv 2022. [Paper] [Project]
8 Dec 2022
Diffusion Guided Domain Adaptation of Image Generators
Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris Metaxas, Ahmed Elgammal
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8 Dec 2022
Executing your Commands via Motion Diffusion in Latent Space
Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, Gang Yu
arXiv 2022. [Paper] [Project]
8 Dec 2022
Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors
Zhentao Yu, Zixin Yin, Deyu Zhou, Duomin Wang, Finn Wong, Baoyuan Wang
arXiv 2022. [Paper] [Project]
7 Dec 2022
Magic: Multi Art Genre Intelligent Choreography Dataset and Network for 3D Dance Generation
Ronghui Li, Junfan Zhao, Yachao Zhang, Mingyang Su, Zeping Ren, Han Zhang, Xiu Li
arXiv 2022. [Paper]
7 Dec 2022
Judge, Localize, and Edit: Ensuring Visual Commonsense Morality for Text-to-Image Generation
Seongbeom Park, Suhong Moon, Jinkyu Kim
arXiv 2022. [Paper]
7 Dec 2022
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors
Congyue Deng, Chiyu "Max'' Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas Guibas, Dragomir Anguelov
arXiv 2022. [Paper]
6 Dec 2022
Semantic-Conditional Diffusion Networks for Image Captioning
Jianjie Luo, Yehao Li, Yingwei Pan, Ting Yao, Jianlin Feng, Hongyang Chao, Tao Mei
CVPR 2023. [Paper] [Github]
6 Dec 2022
Diffusion-SDF: Text-to-Shape via Voxelized Diffusion
Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu
CVPR 2023. [Paper] [Project] [Github]
6 Dec 2022
ADIR: Adaptive Diffusion for Image Reconstruction
Shady Abu-Hussein, Tom Tirer, Raja Giryes
arXiv 2022. [Paper] [Project]
6 Dec 2022
M-VADER: A Model for Diffusion with Multimodal Context
Samuel Weinbach, Marco Bellagente, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Björn Deiseroth, Koen Oostermeijer, Hannah Teufel, Andres Felipe Cruz-Salinas
arXiv 2022. [Paper]
6 Dec 2022
Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding
Gyeongman Kim, Hajin Shim, Hyunsu Kim, Yunjey Choi, Junho Kim, Eunho Yang
CVPR 2023. [Paper] [Project] [Github]
6 Dec 2022
Unite and Conquer: Cross Dataset Multimodal Synthesis using Diffusion Models
Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara, Vishal M. Patel
arXiv 2022. [Paper] [Project]
1 Dec 2022
Shape-Guided Diffusion with Inside-Outside Attention
Dong Huk Park, Grace Luo, Clayton Toste, Samaneh Azadi, Xihui Liu, Maka Karalashvili, Anna Rohrbach, Trevor Darrell
arXiv 2022. [Paper] [Project]
1 Dec 2022
SinDDM: A Single Image Denoising Diffusion Model
Vladimir Kulikov, Shahar Yadin, Matan Kleiner, Tomer Michaeli
arXiv 2022. [Paper] [Project]
29 Nov 2022
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model
Gwanghyun Kim, Se Young Chun
CVPR 2023. [Paper] [Github]
29 Nov 2022
Refined Semantic Enhancement towards Frequency Diffusion for Video Captioning
Xian Zhong, Zipeng Li, Shuqin Chen, Kui Jiang, Chen Chen, Mang Ye
arXiv 2022. [Paper] [Github]
28 Nov 2022
Unified Discrete Diffusion for Simultaneous Vision-Language Generation
Minghui Hu, Chuanxia Zheng, Heliang Zheng, Tat-Jen Cham, Chaoyue Wang, Zuopeng Yang, Dacheng Tao, Ponnuthurai N. Suganthan
arXiv 2022. [Paper]
27 Nov 2022
3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models
Gang Li, Heliang Zheng, Chaoyue Wang, Chang Li, Changwen Zheng, Dacheng Tao
arXiv 2022. [Paper]
25 Nov 2022
SpaText: Spatio-Textual Representation for Controllable Image Generation
Omri Avrahami, Thomas Hayes, Oran Gafni, Sonal Gupta, Yaniv Taigman, Devi Parikh, Dani Lischinski, Ohad Fried, Xi Yin
CVPR 2023. [Paper] [Project]
25 Nov 2022
Sketch-Guided Text-to-Image Diffusion Models
Andrey Voynov, Kfir Aberman, Daniel Cohen-Or
arXiv 2022. [Paper] [Project]
24 Nov 2022
Shifted Diffusion for Text-to-image Generation
Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu
CVPR 2023. [Paper]
24 Nov 2022
Make-A-Story: Visual Memory Conditioned Consistent Story Generation
Tanzila Rahman, Hsin-Ying Lee, Jian Ren, Sergey Tulyakov, Shweta Mahajan, Leonid Sigal
CVPR 2023. [Paper]
23 Nov 2022
Schrödinger's Bat: Diffusion Models Sometimes Generate Polysemous Words in Superposition
Jennifer C. White, Ryan Cotterell
arXiv 2022. [Paper]
23 Nov 2022
EDICT: Exact Diffusion Inversion via Coupled Transformations
Bram Wallace, Akash Gokul, Nikhil Naik
arXiv 2022. [Paper] [Github]
22 Nov 2022
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
Narek Tumanyan, Michal Geyer, Shai Bagon, Tali Dekel
CVPR 2023. [Paper] [Github]
22 Nov 2022
Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark
Vitali Petsiuk, Alexander E. Siemenn, Saisamrit Surbehera, Zad Chin, Keith Tyser, Gregory Hunter, Arvind Raghavan, Yann Hicke, Bryan A. Plummer, Ori Kerret, Tonio Buonassisi, Kate Saenko, Armando Solar-Lezama, Iddo Drori
NeurIPS Workshop 2022. [Paper]
22 Nov 2022
SinDiffusion: Learning a Diffusion Model from a Single Natural Image
Weilun Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Dong Chen, Lu Yuan, Houqiang Li
arXiv 2022. [Paper] [Github]
22 Nov 2022
SinFusion: Training Diffusion Models on a Single Image or Video
Yaniv Nikankin, Niv Haim, Michal Irani
arXiv 2022. [Paper] [Github]
21 Nov 2022
Exploring Discrete Diffusion Models for Image Captioning
Zixin Zhu, Yixuan Wei, Jianfeng Wang, Zhe Gan, Zheng Zhang, Le Wang, Gang Hua, Lijuan Wang, Zicheng Liu, Han Hu
arXiv 2022. [Paper] [Github]
21 Nov 2022
Investigating Prompt Engineering in Diffusion Models
Sam Witteveen, Martin Andrews
NeurIPS Workshop 2022. [Paper]
21 Nov 2022
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models
Ajay Jain, Amber Xie, Pieter Abbeel
arXiv 2022. [Paper] [Project]
21 Nov 2022
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models
Xichen Pan, Pengda Qin, Yuhong Li, Hui Xue, Wenhu Chen
arXiv 2022. [Paper] [Github]
20 Nov 2022
DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization
Nisha Huang, Yuxin Zhang, Fan Tang, Chongyang Ma, Haibin Huang, Yong Zhang, Weiming Dong, Changsheng Xu
arXiv 2022. [Paper]
19 Nov 2022
Magic3D: High-Resolution Text-to-3D Content Creation
Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin
CVPR 2023. [Paper] [Project]
18 Nov 2022
Invariant Learning via Diffusion Dreamed Distribution Shifts
Priyatham Kattakinda, Alexander Levine, Soheil Feizi
arXiv 2022. [Paper]
18 Nov 2022
Null-text Inversion for Editing Real Images using Guided Diffusion Models
Ron Mokady, Amir Hertz, Kfir Aberman, Yael Pritch, Daniel Cohen-Or
arXiv 2022. [Paper]
17 Nov 2022
InstructPix2Pix: Learning to Follow Image Editing Instructions
Tim Brooks, Aleksander Holynski, Alexei A. Efros
CVPR 2023. [Paper] [Project] [Github]
17 Nov 2022
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
Xingqian Xu, Zhangyang Wang, Eric Zhang, Kai Wang, Humphrey Shi
arXiv 2022. [Paper] [Github]
15 Nov 2022
Direct Inversion: Optimization-Free Text-Driven Real Image Editing with Diffusion Models
Adham Elarabawy, Harish Kamath, Samuel Denton
arXiv 2022. [Paper]
15 Nov 2022
Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image Generation
Zhihong Pan, Xin Zhou, Hao Tian
WACV 2023. [Paper]
14 Nov 2022
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models
Patrick Schramowski, Manuel Brack, Björn Deiseroth, Kristian Kersting
CVPR 2023. [Paper] [Github]
9 Nov 2022
Rickrolling the Artist: Injecting Invisible Backdoors into Text-Guided Image Generation Models
Lukas Struppek, Dominik Hintersdorf, Kristian Kersting
arXiv 2022. [Paper] [Github]
4 Nov 2022
eDiffi: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
Yogesh Balaji, Seungjun Nah, Xun Huang, Arash Vahdat, Jiaming Song, Karsten Kreis, Miika Aittala, Timo Aila, Samuli Laine, Bryan Catanzaro, Tero Karras, Ming-Yu Liu
arXiv 2022. [Paper] [Github]
2 Nov 2022
MagicMix: Semantic Mixing with Diffusion Models
Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng
arXiv 2022. [Paper] [Project]
28 Oct 2022
UPainting: Unified Text-to-Image Diffusion Generation with Cross-modal Guidance
Wei Li, Xue Xu, Xinyan Xiao, Jiachen Liu, Hu Yang, Guohao Li, Zhanpeng Wang, Zhifan Feng, Qiaoqiao She, Yajuan Lyu, Hua Wu
arXiv 2022. [Paper]
28 Oct 2022
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?
Hritik Bansal, Da Yin, Masoud Monajatipoor, Kai-Wei Chang
EMNLP 2022. [Paper] [Github]
27 Oct 2022
ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts
Zhida Feng, Zhenyu Zhang, Xintong Yu, Yewei Fang, Lanxin Li, Xuyi Chen, Yuxiang Lu, Jiaxiang Liu, Weichong Yin, Shikun Feng, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang
CVPR 2023. [Paper]
27 Oct 2022
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models
Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, Duen Horng Chau
arXiv 2022. [Paper] [Project] [Github]
26 Oct 2022
Lafite2: Few-shot Text-to-Image Generation
Yufan Zhou, Chunyuan Li, Changyou Chen, Jianfeng Gao, Jinhui Xu
arXiv 2022. [Paper]
25 Oct 2022
High-Resolution Image Editing via Multi-Stage Blended Diffusion
Johannes Ackermann, Minjun Li
NeurIPS Workshop 2022. [Paper] [Github]
24 Oct 2022
Conditional Diffusion with Less Explicit Guidance via Model Predictive Control
Max W. Shen, Ehsan Hajiramezanali, Gabriele Scalia, Alex Tseng, Nathaniel Diamant, Tommaso Biancalani, Andreas Loukas
arXiv 2022. [Paper]
21 Oct 2022
A Visual Tour Of Current Challenges In Multimodal Language Models
Shashank Sonkar, Naiming Liu, Richard G. Baraniuk
arXiv 2022. [Paper]
22 Oct 2022
DiffEdit: Diffusion-based semantic image editing with mask guidance
Guillaume Couairon, Jakob Verbeek, Holger Schwenk, Matthieu Cord
ICLR 2023. [Paper]
20 Oct 2022
Diffusion Models already have a Semantic Latent Space
Mingi Kwon, Jaeseok Jeong, Youngjung Uh
ICLR 2023. [Paper] [Project]
20 Oct 2022
UniTune: Text-Driven Image Editing by Fine Tuning an Image Generation Model on a Single Image
Dani Valevski, Matan Kalman, Yossi Matias, Yaniv Leviathan
arXiv 2022. [Paper]
18 Oct 2022
Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation
Ruijun Li, Weihua Li, Yi Yang, Hanyu Wei, Jianhua Jiang, Quan Bai
arXiv 2022. [Paper]
18 Oct 2022
Imagic: Text-Based Real Image Editing with Diffusion Models
Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, Michal Irani
CVPR 2023. [Paper] [Project]
17 Oct 2022
Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation
Chaerin Kong, DongHyeon Jeon, Ohjoon Kwon, Nojun Kwak
WACV 2022. [Paper]
12 Oct 2022
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance
Chen Henry Wu, Fernando De la Torre
arXiv 2022. [Paper] [Github-1] [Github-2]
11 Oct 2022
Imagen Video: High Definition Video Generation with Diffusion Models
Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey Gritsenko, Diederik P. Kingma, Ben Poole, Mohammad Norouzi, David J. Fleet, Tim Salimans
arXiv 2022. [Paper]
5 Oct 2022
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics
Ivan Kapelyukh, Vitalis Vosylius, Edward Johns
IEEE RA-L 2022. [Paper]
5 Oct 2022
LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models
Paramanand Chandramouli, Kanchana Vaishnavi Gandikota
BMVC 2022. [Paper]
5 Oct 2022
clip2latent: Text driven sampling of a pre-trained StyleGAN using denoising diffusion and CLIP
Justin N. M. Pinkney, Chuan Li
BMVC 2022. [Paper] [Github]
5 Oct 2022
Membership Inference Attacks Against Text-to-image Generation Models
Yixin Wu, Ning Yu, Zheng Li, Michael Backes, Yang Zhang
arXiv 2022. [Paper]
3 Oct 2022
Make-A-Video: Text-to-Video Generation without Text-Video Data
Uriel Singer, Adam Polyak, Thomas Hayes, Xi Yin, Jie An, Songyang Zhang, Qiyuan Hu, Harry Yang, Oron Ashual, Oran Gafni, Devi Parikh, Sonal Gupta, Yaniv Taigman
arXiv 2022. [Paper]
29 Sep 2022
DreamFusion: Text-to-3D using 2D Diffusion
Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall
arXiv 2022. [Paper] [Github]
29 Sep 2022
Re-Imagen: Retrieval-Augmented Text-to-Image Generator
Wenhu Chen, Hexiang Hu, Chitwan Saharia, William W. Cohen
arXiv 2022. [Paper]
29 Sep 2022
Creative Painting with Latent Diffusion Models
Xianchao Wu
arXiv 2022. [Paper]
29 Sep 2022
Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided Diffusion
Nisha Huang, Fan Tang, Weiming Dong, Changsheng Xu
ACM MM 2022. [Paper] [Github]
27 Sep 2022
Personalizing Text-to-Image Generation via Aesthetic Gradients
Victor Gallego
NeurIPS Workshop 2022. [Paper] [Github]
25 Sep 2022
Best Prompts for Text-to-Image Models and How to Find Them
Nikita Pavlichenko, Dmitry Ustalov
NeurIPS Workshop 2022. [Paper]
23 Sep 2022
The Biased Artist: Exploiting Cultural Biases via Homoglyphs in Text-Guided Image Generation Models
Lukas Struppek, Dominik Hintersdorf, Kristian Kersting
arXiv 2022. [Paper] [Github]
19 Sep 2022
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models
Chen Henry Wu, Saman Motamed, Shaunak Srivastava, Fernando De la Torre
NeurIPS 2022. [Paper] [Github]
14 Sep 2022
ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation
Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu
ICLR 2023. [Paper] [Github]
9 Sep 2022
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, Kfir Aberman
CVPR 2023. [Paper] [Project] [Github]
25 Aug 2022
Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models
Robin Rombach, Andreas Blattmann, Björn Ommer
arXiv 2022. [Paper] [Github]
26 Jul 2022
Discrete Contrastive Diffusion for Cross-Modal and Conditional Generation
Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan
ICLR 2023. [Paper] [Github]
15 Jun 2022
Blended Latent Diffusion
Omri Avrahami, Ohad Fried, Dani Lischinski
ACM 2022. [Paper] [Project] [Github]
6 Jun 2022
Compositional Visual Generation with Composable Diffusion Models
Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum
ECCV 2022. [Paper] [Project] [Github]
3 Jun 2022
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder
Jie Shi, Chenfei Wu, Jian Liang, Xiang Liu, Nan Duan
arXiv 2022. [Paper]
1 Jun 2022
Improved Vector Quantized Diffusion Models
Zhicong Tang, Shuyang Gu, Jianmin Bao, Dong Chen, Fang Wen
arXiv 2022. [Paper] [Github]
31 May 2022
Text2Human: Text-Driven Controllable Human Image Generation
Yuming Jiang, Shuai Yang, Haonan Qiu, Wayne Wu, Chen Change Loy, Ziwei Liu
ACM 2022. [Paper] [Github]
31 May 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, Mohammad Norouzi
NeurIPS 2022. [Paper] [Github]
23 May 2022
Retrieval-Augmented Diffusion Models
Andreas Blattmann, Robin Rombach, Kaan Oktay, Björn Ommer
NeurIPS 2022. [Paper] [Github]
25 Apr 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, Mark Chen
arXiv 2022. [Paper] [Github]
13 Apr 2022
KNN-Diffusion: Image Generation via Large-Scale Retrieval
Oron Ashual, Shelly Sheynin, Adam Polyak, Uriel Singer, Oran Gafni, Eliya Nachmani, Yaniv Taigman
ICLR 2023. [Paper]
6 Apr 2022
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer
CVPR 2022. [Paper] [Github]
20 Dec 2021
More Control for Free! Image Synthesis with Semantic Diffusion Guidance
Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, Trevor Darrell
WACV 2021. [Paper] [Project]
10 Dec 2021
Vector Quantized Diffusion Model for Text-to-Image Synthesis
Shuyang Gu, Dong Chen, Jianmin Bao, Fang Wen, Bo Zhang, Dongdong Chen, Lu Yuan, Baining Guo
CVPR 2022. [Paper] [Github]
29 Nov 2021
Blended Diffusion for Text-driven Editing of Natural Images
Omri Avrahami, Dani Lischinski, Ohad Fried
CVPR 2022. [Paper] [Project] [Github]
29 Nov 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao, Karsten Kreis, Arash Vahdat
ICLR 2022 (Spotlight). [Paper] [Project]
15 Dec 2021
DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models
Gwanghyun Kim, Jong Chul Ye
CVPR 2022. [Paper] [Github]
6 Oct 2021
Points-to-3D: Bridging the Gap between Sparse Points and Shape-Controllable Text-to-3D Generation
Chaohui Yu, Qiang Zhou, Jingliang Li, Zhe Zhang, Zhibin Wang, Fan Wang
arXiv 2023. [Paper]
26 Jul 2023
Fake It Without Making It: Conditioned Face Generation for Accurate 3D Face Shape Estimation
Will Rowan, Patrik Huber, Nick Pears, Andrew Keeling
arXiv 2023. [Paper]
25 Jul 2023
NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis
Nilesh Kulkarni, Davis Rempe, Kyle Genova, Abhijit Kundu, Justin Johnson, David Fouhey, Leonidas Guibas
arXiv 2023. [Paper] [Project]
14 Jul 2023
AvatarFusion: Zero-shot Generation of Clothing-Decoupled 3D Avatars Using 2D Diffusion
Shuo Huang, Zongxin Yang, Liangting Li, Yi Yang, Jia Jia
arXiv 2023. [Paper]
13 Jul 2023
Articulated 3D Head Avatar Generation using Text-to-Image Diffusion Models
Alexander W. Bergman, Wang Yifan, Gordon Wetzstein
arXiv 2023. [Paper]
10 Jul 2023
Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose Estimation
Zhongyu Jiang, Zhuoran Zhou, Lei Li, Wenhao Chai, Cheng-Yen Yang, Jenq-Neng Hwang
arXiv 2023. [Paper]
7 Jul 2023
AutoDecoding Latent 3D Diffusion Models
Evangelos Ntavelis, Aliaksandr Siarohin, Kyle Olszewski, Chaoyang Wang, Luc Van Gool, Sergey Tulyakov
arXiv 2023. [Paper]
7 Jul 2023
SVDM: Single-View Diffusion Model for Pseudo-Stereo 3D Object Detection
Yuguang Shi
arXiv 2023. [Paper]
5 Jul 2023
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation
Shentong Mo, Enze Xie, Ruihang Chu, Lewei Yao, Lanqing Hong, Matthias Nießner, Zhenguo Li
arXiv 2023. [Paper]
4 Jul 2023
Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
Guocheng Qian, Jinjie Mai, Abdullah Hamdi, Jian Ren, Aliaksandr Siarohin, Bing Li, Hsin-Ying Lee, Ivan Skorokhodov, Peter Wonka, Sergey Tulyakov, Bernard Ghanem
arXiv 2023. [Paper] [Project]
30 Jun 2023
Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation
Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, Bin Fu, Tao Chen, Gang Yu, Shenghua Gao
arXiv 2023. [Paper]
29 Jun 2023
DiffComplete: Diffusion-based Generative 3D Shape Completion
Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya Jia
arXiv 2023. [Paper]
28 Jun 2023
DreamTime: An Improved Optimization Strategy for Text-to-3D Content Creation
Yukun Huang, Jianan Wang, Yukai Shi, Xianbiao Qi, Zheng-Jun Zha, Lei Zhang
arXiv 2023. [Paper]
21 Jun 2023
EMoG: Synthesizing Emotive Co-speech 3D Gesture with Diffusion Model
Lianying Yin, Yijun Wang, Tianyu He, Jinming Liu, Wei Zhao, Bohan Li, Xin Jin, Jianxin Lin
arXiv 2023. [Paper]
20 Jun 2023
Point-Cloud Completion with Pretrained Text-to-image Diffusion Models
Yoni Kasten, Ohad Rahamim, Gal Chechik
arXiv 2023. [Paper]
18 Jun 2023
AvatarBooth: High-Quality and Customizable 3D Human Avatar Generation
Yifei Zeng, Yuanxun Lu, Xinya Ji, Yao Yao, Hao Zhu, Xun Cao
arXiv 2023. [Paper]
16 Jun 2023
Edit-DiffNeRF: Editing 3D Neural Radiance Fields using 2D Diffusion Model
Lu Yu, Wei Xiang, Kang Han
arXiv 2023. [Paper]
15 Jun 2023
Adding 3D Geometry Control to Diffusion Models
Wufei Ma, Qihao Liu, Jiahao Wang, Angtian Wang, Yaoyao Liu, Adam Kortylewski, Alan Yuille
arXiv 2023. [Paper]
13 Jun 2023
Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data
Stanislaw Szymanowicz, Christian Rupprecht, Andrea Vedaldi
arXiv 2023. [Paper]
13 Jun 2023
3D molecule generation by denoising voxel grids
Pedro O. Pinheiro, Joshua Rackers, Joseph Kleinhenz, Michael Maser, Omar Mahmood, Andrew Martin Watkins, Stephen Ra, Vishnu Sresht, Saeed Saremi
arXiv 2023. [Paper]
13 Jun 2023
InstructP2P: Learning to Edit 3D Point Clouds with Text Instructions
Jiale Xu, Xintao Wang, Yan-Pei Cao, Weihao Cheng, Ying Shan, Shenghua Gao
arXiv 2023. [Paper]
12 Jun 2023
RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models
Xingchen Zhou, Ying He, F. Richard Yu, Jianqiang Li, You Li
arXiv 2023. [Paper]
9 Jun 2023
Stochastic Multi-Person 3D Motion Forecasting
Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui
arXiv 2023. [Paper]
8 Jun 2023
ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections
Chun-Han Yao, Amit Raj, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani
arXiv 2023. [Paper]
7 Jun 2023
Synthesizing realistic sand assemblies with denoising diffusion in latent space
Nikolaos N. Vlassis, WaiChing Sun, Khalid A. Alshibli, Richard A. Regueiro
arXiv 2023. [Paper]
7 Jun 2023
AvatarStudio: Text-driven Editing of 3D Dynamic Human Head Avatars
Mohit Mendiratta, Xingang Pan, Mohamed Elgharib, Kartik Teotia, Mallikarjun B R, Ayush Tewari, Vladislav Golyanik, Adam Kortylewski, Christian Theobalt
arXiv 2023. [Paper]
1 Jun 2023
DiffRoom: Diffusion-based High-Quality 3D Room Reconstruction and Generation
Xiaoliang Ju, Zhaoyang Huang, Yijin Li, Guofeng Zhang, Yu Qiao, Hongsheng Li
arXiv 2023. [Paper]
1 Jun 2023
Controllable Motion Diffusion Model
Yi Shi, Jingbo Wang, Xuekun Jiang, Bo Dai
arXiv 2023. [Paper] Project]
1 Jun 2023
FDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models
Hao Zhang, Yanbo Xu, Tianyuan Dai, Yu-Wing, Tai Chi-Keung Tang
arXiv 2023. [Paper]
1 Jun 2023
Learning Explicit Contact for Implicit Reconstruction of Hand-held Objects from Monocular Images
Junxing Hu, Hongwen Zhang, Zerui Chen, Mengcheng Li, Yunlong Wang, Yebin Liu, Zhenan Sun
arXiv 2023. [Paper] [Project]
31 May 2023
StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation
Chi Zhang, Yiwen Chen, Yijun Fu, Zhenglin Zhou, Gang YU, Billzb Wang, Bin Fu, Tao Chen, Guosheng Lin, Chunhua Shen
arXiv 2023. [Paper]
30 May 2023
HiFA: High-fidelity Text-to-3D with Advanced Diffusion Guidance
Junzhe Zhu, Peiye Zhuang
arXiv 2023. [Paper]
30 May 2023
Conditional Diffusion Models for Semantic 3D Medical Image Synthesis
Zolnamar Dorjsembe, Hsing-Kuo Pao, Sodtavilan Odonchimed, Furen Xiao
arXiv 2023. [Paper]
29 May 2023
ZeroAvatar: Zero-shot 3D Avatar Generation from a Single Image
Zhenzhen Weng, Zeyu Wang, Serena Yeung
arXiv 2023. [Paper]
25 May 2023
NAP: Neural 3D Articulation Prior
Jiahui Lei, Congyue Deng, Bokui Shen, Leonidas Guibas, Kostas Daniilidis
arXiv 2023. [Paper] [Project]
25 May 2023
CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graphs
Guangyao Zhai, Evin Pınar Örnek, Shun-Cheng Wu, Yan Di, Federico Tombari, Nassir Navab, Benjamin Busam
arXiv 2023. [Paper]
25 May 2023
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu
arXiv 2023. [Paper] [Project]
25 May 2023
DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification
Sitian Shen, Zilin Zhu, Linqian Fan, Harry Zhang, Xinxiao Wu
arXiv 2023. [Paper]
25 May 2023
Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)
Tsu-Ching Hsiao, Hao-Wei Chen, Hsuan-Kung Yang, Chun-Yi Lee
arXiv 2023. [Paper]
25 May 2023
Deceptive-NeRF: Enhancing NeRF Reconstruction using Pseudo-Observations from Diffusion Models
Xinhang Liu, Shiu-hong Kao, Jiaben Chen, Yu-Wing Tai, Chi-Keung Tang
arXiv 2023. [Paper]
24 May 2023
Manifold Diffusion Fields
Ahmed A. Elhag, Joshua M. Susskind, Miguel Angel Bautista
arXiv 2023. [Paper]
24 May 2023
Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape
Rundi Wu, Ruoshi Liu, Carl Vondrick, Changxi Zheng
arXiv 2023. [Paper] [Project] [Github]
24 May 2023
Understanding Text-driven Motion Synthesis with Keyframe Collaboration via Diffusion Models
Dong Wei, Xiaoning Sun, Huaijiang Sun, Bin Li, Shengxiang Hu, Weiqing Li, Jianfeng Lu
arXiv 2023. [Paper]
23 May 2023
DiffHand: End-to-End Hand Mesh Reconstruction via Diffusion Models
Lijun Li, Li'an Zhuo, Bang Zhang, Liefeng Bo, Chen Chen
arXiv 2023. [Paper]
23 May 2023
GMD: Controllable Human Motion Synthesis via Guided Diffusion Models
Korrawe Karunratanakul, Konpat Preechakul, Supasorn Suwajanakorn, Siyu Tang
arXiv 2023. [Paper] [Project]
21 May 2023
Towards Globally Consistent Stochastic Human Motion Prediction via Motion Diffusion
Jiarui Sun, Girish Chowdhary
arXiv 2023. [Paper]
21 May 2023
Few-shot 3D Shape Generation
Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan
arXiv 2023. [Paper]
19 May 2023
Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models
Byungjun Kim, Patrick Kwon, Kwangho Lee, Myunggi Lee, Sookwan Han, Daesik Kim, Hanbyul Joo
arXiv 2023. [Paper] [Project]
19 May 2023
Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields
Jingbo Zhang, Xiaoyu Li, Ziyu Wan, Can Wang, Jing Liao
arXiv 2023. [Paper]
19 May 2023
RoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent Geometry and Texture
Liangchen Song, Liangliang Cao, Hongyu Xu, Kai Kang, Feng Tang, Junsong Yuan, Yang Zhao
arXiv 2023. [Paper]
18 May 2023
LDM3D: Latent Diffusion Model for 3D
Gabriela Ben Melech Stan, Diana Wofk, Scottie Fox, Alex Redden, Will Saxton, Jean Yu, Estelle Aflalo, Shao-Yen Tseng, Fabio Nonato, Matthias Muller, Vasudev Lal
arXiv 2023. [Paper]
18 May 2023
Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation
Samaneh Azadi, Akbar Shah, Thomas Hayes, Devi Parikh, Sonal Gupta
arXiv 2023. [Paper] [Project]
16 May 2023
FitMe: Deep Photorealistic 3D Morphable Model Avatars
Alexandros Lattas, Stylianos Moschoglou, Stylianos Ploumpis, Baris Gecer, Jiankang Deng, Stefanos Zafeiriou
CVPR 2023. [Paper] [Project]
16 May 2023
AMD: Autoregressive Motion Diffusion
Bo Han, Hao Peng, Minjing Dong, Chang Xu, Yi Ren, Yixuan Shen, Yuheng Li
arXiv 2023. [Paper]
16 May 2023
Text-guided High-definition Consistency Texture Model
Zhibin Tang, Tiantong He
arXiv 2023. [Paper]
10 May 2023
Relightify: Relightable 3D Faces from a Single Image via Diffusion Models
Foivos Paraperas Papantoniou, Alexandros Lattas, Stylianos Moschoglou, Stefanos Zafeiriou
arXiv 2023. [Paper] [Project]
10 May 2023
CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation
Erik Buhmann, Sascha Diefenbacher, Engin Eren, Frank Gaede, Gregor Kasieczka, Anatolii Korol, William Korcari, Katja Krüger, Peter McKeown
arXiv 2023. [Paper]
8 May 2023
Locally Attentional SDF Diffusion for Controllable 3D Shape Generation
Xin-Yang Zheng, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu, Heung-Yeung Shum
SIGGRAPH 2023. [Paper]
8 May 2023
DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion
Kiyohiro Nakayama, Mikaela Angelina Uy, Jiahui Huang, Shi-Min Hu, Ke Li, Leonidas J Guibas
arXiv 2023. [Paper] [Github]
4 May 2023
Shap-E: Generating Conditional 3D Implicit Functions
Heewoo Jun, Alex Nichol
arXiv 2023. [Paper] [Github]
3 May 2023
ContactArt: Learning 3D Interaction Priors for Category-level Articulated Object and Hand Poses Estimation
Zehao Zhu, Jiashun Wang, Yuzhe Qin, Deqing Sun, Varun Jampani, Xiaolong Wang
arXiv 2023. [Paper] [Project]
2 May 2023
DreamPaint: Few-Shot Inpainting of E-Commerce Items for Virtual Try-On without 3D Modeling
Mehmet Saygin Seyfioglu, Karim Bouyarmane, Suren Kumar, Amir Tavanaei, Ismail B. Tutar
arXiv 2023. [Paper]
2 May 2023
Learning a Diffusion Prior for NeRFs
Guandao Yang, Abhijit Kundu, Leonidas J. Guibas, Jonathan T. Barron, Ben Poole
ICLR Workshop 2023. [Paper]
27 Apr 2023
TextMesh: Generation of Realistic 3D Meshes From Text Prompts
Christina Tsalicoglou, Fabian Manhardt, Alessio Tonioni, Michael Niemeyer, Federico Tombari
arXiv 2023. [Paper]
24 Apr 2023
Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs
Frederik Warburg, Ethan Weber, Matthew Tancik, Aleksander Holynski, Angjoo Kanazawa
arXiv 2023. [Paper] [Project] [Github]
20 Apr 2023
Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion
Tomas Jakab, Ruining Li, Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
arXiv 2023. [Paper] [Project]
20 Apr 2023
Anything-3D: Towards Single-view Anything Reconstruction in the Wild
Qiuhong Shen, Xingyi Yang, Xinchao Wang
arXiv 2023. [Paper]
19 Apr 2023
Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model
Yuming Du, Robin Kips, Albert Pumarola, Sebastian Starke, Ali Thabet, Artsiom Sanakoyeu
CVPR 2023. [Paper] [Project] [Github]
17 Apr 2023
Towards Controllable Diffusion Models via Reward-Guided Exploration
Hengtong Zhang, Tingyang Xu
arXiv 2023. [Paper]
14 Apr 2023
Learning Controllable 3D Diffusion Models from Single-view Images
Jiatao Gu, Qingzhe Gao, Shuangfei Zhai, Baoquan Chen, Lingjie Liu, Josh Susskind
arXiv 2023. [Paper] [Project]
13 Apr 2023
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction
Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su
arXiv 2023. [Paper] [Project]
13 Apr 2023
Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views
Siwei Zhang, Qianli Ma, Yan Zhang, Sadegh Aliakbarian, Darren Cosker, Siyu Tang
arXiv 2023. [Paper] [Project]
12 Apr 2023
InterGen: Diffusion-based Multi-human Motion Generation under Complex Interactions
Han Liang, Wenqian Zhang, Wenxuan Li, Jingyi Yu, Lan Xu
arXiv 2023. [Paper] [Github]
12 Apr 2023
Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views
Siwei Zhang, Qianli Ma, Yan Zhang, Sadegh Aliakbarian, Darren Cosker, Siyu Tang
arXiv 2023. [Paper] [Project]
12 Apr 2023
Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond
Mohammadreza Armandpour, Huangjie Zheng, Ali Sadeghian, Amir Sadeghian, Mingyuan Zhou
arXiv 2023. [Paper] [Project]
11 Apr 2023
NeRF applied to satellite imagery for surface reconstruction
Federico Semeraro, Yi Zhang, Wenying Wu, Patrick Carroll
arXiv 2023. [Paper] [Github]
9 Apr 2023
DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model
Hoigi Seo, Hayeon Kim, Gwanghyun Kim, Se Young Chun
arXiv 2023. [Paper] [Project]
6 Apr 2023
Generative Novel View Synthesis with 3D-Aware Diffusion Models
Eric R. Chan, Koki Nagano, Matthew A. Chan, Alexander W. Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, Gordon Wetzstein
arXiv 2023. [Paper] [Project]
5 Apr 2023
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion
Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany
CVPR 2023. [Paper] [Github]
4 Apr 2023
PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion
Gwanghyun Kim, Ji Ha Jang, Se Young Chun
arXiv 2023. [Paper] [Project]
4 Apr 2023
ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model
Mingyuan Zhang, Xinying Guo, Liang Pan, Zhongang Cai, Fangzhou Hong, Huirong Li, Lei Yang, Ziwei Liu
arXiv 2023. [Paper] [Project] [Github]
3 Apr 2023
Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models
Wenjie Yin, Ruibo Tu, Hang Yin, Danica Kragic, Hedvig Kjellström, Mårten Björkman
arXiv 2023. [Paper]
3 Apr 2023
DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models
Yukang Cao, Yan-Pei Cao, Kai Han, Ying Shan, Kwan-Yee K. Wong
arXiv 2023. [Paper]
3 Apr 2023
DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance
Longwen Zhang, Qiwei Qiu, Hongyang Lin, Qixuan Zhang, Cheng Shi, Wei Yang, Ye Shi, Sibei Yang, Lan Xu, Jingyi Yu
arXiv 2023. [Paper] [Project]
1 Apr 2023
AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control
Ruixiang Jiang, Can Wang, Jingbo Zhang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao
arXiv 2023. [Paper] [Project] [Github]
30 Mar 2023
HOLODIFFUSION: Training a 3D Diffusion Model using 2D Images
Animesh Karnewar, Andrea Vedaldi, David Novotny, Niloy Mitra
CVPR 2023. [Paper] [Project]
29 Mar 2023
4D Facial Expression Diffusion Model
Kaifeng Zou, Sylvain Faisan, Boyang Yu, Sébastien Valette, Hyewon Seo
arXiv 2023. [Paper] [Github]
29 Mar 2023
Instruct 3D-to-3D: Text Instruction Guided 3D-to-3D conversion
Hiromichi Kamata, Yuiko Sakuma, Akio Hayakawa, Masato Ishii, Takuya Narihira
arXiv 2023. [Paper] [Project] [Github]
28 Mar 2023
Novel View Synthesis of Humans using Differentiable Rendering
Guillaume Rochette, Chris Russell, Richard Bowden
IEEE T-BIOM 2023. [Paper] [Github]
28 Mar 2023
Debiasing Scores and Prompts of 2D Diffusion for Robust Text-to-3D Generation
Susung Hong, Donghoon Ahn, Seungryong Kim
CVPR Workshop 2023. [Paper]
27 Mar 2023
Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
Junshu Tang, Tengfei Wang, Bo Zhang, Ting Zhang, Ran Yi, Lizhuang Ma, Dong Chen
arXiv 2023. [Paper] [Project] [Github]
24 Mar 2023
ISS++: Image as Stepping Stone for Text-Guided 3D Shape Generation
Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu
ICLR 2023. [Paper]
24 Mar 2023
CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout
Yiqi Lin, Haotian Bai, Sijia Li, Haonan Lu, Xiaodong Lin, Hui Xiong, Lin Wang
arXiv 2023. [Paper] [Project]
24 Mar 2023
Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation
Rui Chen, Yongwei Chen, Ningxin Jiao, Kui Jia
arXiv 2023. [Paper] [Project] [Github]
24 Mar 2023
DDT: A Diffusion-Driven Transformer-based Framework for Human Mesh Recovery from a Video
Ce Zheng, Guo-Jun Qi, Chen Chen
arXiv 2023. [Paper]
23 Mar 2023
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions
Ayaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa
arXiv 2023. [Paper] [Project]
22 Mar 2023
FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models
Jianglong Ye, Naiyan Wang, Xiaolong Wang
arXiv 2023. [Paper] [Project]
22 Mar 2023
Vox-E: Text-guided Voxel Editing of 3D Objects
Etai Sella, Gal Fiebelman, Peter Hedman, Hadar Averbuch-Elor
arXiv 2023. [Paper] [Project]
21 Mar 2023
Compositional 3D Scene Generation using Locally Conditioned Diffusion
Ryan Po, Gordon Wetzstein
arXiv 2023. [Paper] [Github]
21 Mar 2023
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation
Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Zhao Wang, Kai Han, Shanshe Wang, Siwei Ma, Wen Gao
arXiv 2023. [Paper] [Github]
21 Mar 2023
3D-CLFusion: Fast Text-to-3D Rendering with Contrastive Latent Diffusion
Yu-Jhe Li, Kris Kitani
arXiv 2023. [Paper]
21 Mar 2023
Affordance Diffusion: Synthesizing Hand-Object Interactions
Yufei Ye, Xueting Li, Abhinav Gupta, Shalini De Mello, Stan Birchfield, Jiaming Song, Shubham Tulsiani, Sifei Liu
CVPR 2023. [Paper] [Project]
21 Mar 2023
SALAD: Part-Level Latent Diffusion for 3D Shape Generation and Manipulation
Juil Koo, Seungwoo Yoo, Minh Hieu Nguyen, Minhyuk Sung
arXiv 2023. [Paper] [Project]
21 Mar 2023
Learning a 3D Morphable Face Reflectance Model from Low-cost Data
Yuxuan Han, Zhibo Wang, Feng Xu
CVPR 2023. [Paper] [Project]
21 Mar 2023
Text2Tex: Text-driven Texture Synthesis via Diffusion Models
Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner
arXiv 2023. [Paper] [Project]
20 Mar 2023
Zero-1-to-3: Zero-shot One Image to 3D Object
Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov, Carl Vondrick
arXiv 2023. [Paper] [Project] [Github]
20 Mar 2023
SKED: Sketch-guided Text-based 3D Editing
Aryan Mikaeili, Or Perel, Daniel Cohen-Or, Ali Mahdavi-Amiri
arxiv 2023. [Paper]
19 Mar 2023
3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process
Yuhan Li, Yishun Dou, Xuanhong Chen, Bingbing Ni, Yilin Sun, Yutian Liu, Fuzhen Wang
CVPR 2023. [Paper] [Github]
18 Mar 2023
Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation
Lingting Zhu, Xian Liu, Xuanyu Liu, Rui Qian, Ziwei Liu, Lequan Yu
CVPR 2023. [Paper] [Github]
16 Mar 2023
Diffusion-HPC: Generating Synthetic Images with Realistic Humans
Zhenzhen Weng, Laura Bravo-Sánchez, Serena Yeung
arXiv 2023. [Paper] [Github]
16 Mar 2023
DINAR: Diffusion Inpainting of Neural Textures for One-Shot Human Avatars
David Svitov, Dmitrii Gudkov, Renat Bashirov, Victor Lempitsky
arXiv 2023. [Paper]
16 Mar 2023
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models
Suhyeon Lee, Hyungjin Chung, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye
arXiv 2023. [Paper]
15 Mar 2023
Controllable Mesh Generation Through Sparse Latent Point Diffusion Models
Zhaoyang Lyu, Jinyi Wang, Yuwei An, Ya Zhang, Dahua Lin, Bo Dai
CVPR 2023. [Paper] [Project]
14 Mar 2023
MeshDiffusion: Score-based Generative 3D Mesh Modeling
Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu
ICLR 2023. [Paper] [Project] [Github]
14 Mar 2023
Point Cloud Diffusion Models for Automatic Implant Generation
Paul Friedrich, Julia Wolleb, Florentin Bieder, Florian M. Thieringer, Philippe C. Cattin
arXiv 2023. [Paper]
14 Mar 2023
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
Junyoung Seo, Wooseok Jang, Min-Seop Kwak, Jaehoon Ko, Hyeonsu Kim, Junho Kim, Jin-Hwa Kim, Jiyoung Lee, Seungryong Kim
arXiv 2023. [Paper] [Github]
14 Mar 2023
GECCO: Geometrically-Conditioned Point Diffusion Models
Michał J. Tyszkiewicz, Pascal Fua, Eduard Trulls
arXiv 2023. [Paper]
10 Mar 2023
3DGen: Triplane Latent Diffusion for Textured Mesh Generation
Anchit Gupta, Wenhan Xiong, Yixin Nie, Ian Jones, Barlas Oğuz
arXiv 2023. [Paper]
9 Mar 2023
Human Motion Diffusion as a Generative Prior
Yonatan Shafir, Guy Tevet, Roy Kapon, Amit H. Bermano
arXiv 2023. [Paper]
2 Mar 2023
Can We Use Diffusion Probabilistic Models for 3D Motion Prediction?
Hyemin Ahn, Esteve Valls Mascaro, Dongheui Lee
ICRA 2023. [Paper] [Project] [Github]
28 Feb 2023
DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models
Jamie Wynn, Daniyar Turmukhambetov
CVPR 2023. [Paper] [Github] [Github]
23 Feb 2023
PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction
Luke Melas-Kyriazi, Christian Rupprecht, Andrea Vedaldi
arXiv 2023. [Paper] Project]
23 Feb 2023
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion
Jiatao Gu, Alex Trevithick, Kai-En Lin, Josh Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi
ICML 2023. [Paper] [Github]
20 Feb 2023
SinMDM: Single Motion Diffusion
Sigal Raab, Inbal Leibovitch, Guy Tevet, Moab Arar, Amit H. Bermano, Daniel Cohen-Or
arXiv 2023. [Paper] [Project] [Github]
12 Feb 2023
3D Colored Shape Reconstruction from a Single RGB Image through Diffusion
Bo Li, Xiaolin Wei, Fengwei Chen, Bin Liu
arXiv 2023. [Paper]
11 Feb 2023
HumanMAC: Masked Motion Completion for Human Motion Prediction
Ling-Hao Chen, Jiawei Zhang, Yewen Li, Yiren Pang, Xiaobo Xia, Tongliang Liu
arXiv 2023. [Paper] [Project] [Github]
7 Feb 2023
TEXTure: Text-Guided Texturing of 3D Shapes
Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, Daniel Cohen-Or
arXiv 2023. [Paper] [Project] [Github]
3 Feb 2023
Zero3D: Semantic-Driven Multi-Category 3D Shape Generation
Bo Han, Yitong Liu, Yixuan Shen
arXiv 2023. [Paper]
31 Jan 2023
Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation
Jingyu Hu, Ka-Hei Hui, Zhengzhe Liu, Ruihui Li, Chi-Wing Fu
SIGGRAPH ASIA 2023. [Paper] [Github]
1 Feb 2023
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models
Biao Zhang, Jiapeng Tang, Matthias Niessner, Peter Wonka
SIGGRAPH 2023. [Paper] [Github] [Github]
26 Jan 2023
DiffMotion: Speech-Driven Gesture Synthesis Using Denoising Diffusion Model
Fan Zhang, Naye Ji, Fuxing Gao, Yongping Li
arXiv 2023. [Paper]
24 Jan 2023
Bipartite Graph Diffusion Model for Human Interaction Generation
Baptiste Chopin, Hao Tang, Mohamed Daoudi
arXiv 2023. [Paper]
24 Jan 2023
Diffusion-based Generation, Optimization, and Planning in 3D Scenes
Siyuan Huang, Zan Wang, Puhao Li, Baoxiong Jia, Tengyu Liu, Yixin Zhu, Wei Liang, Song-Chun Zhu
arXiv 2023. [Paper] [Project] [Github]
15 Jan 2023
Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models
Mengyi Zhao, Mengyuan Liu, Bin Ren, Shuling Dai, Nicu Sebe
arXiv 2023. [Paper]
10 Jan 2023
Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data
Jumin Lee, Woobin Im, Sebin Lee, Sung-Eui Yoon
arXiv 2023. [Paper] [Github]
2 Jan 2023
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models
Jiale Xu, Xintao Wang, Weihao Cheng, Yan-Pei Cao, Ying Shan, Xiaohu Qie, Shenghua Gao
CVPR 2023. [Paper] [Project]
28 Dec 2022
Point-E: A System for Generating 3D Point Clouds from Complex Prompts
Alex Nichol, Heewoo Jun, Prafulla Dhariwal, Pamela Mishkin, Mark Chen
arXiv 2022. [Paper] [Github]
16 Dec 2022
Real-Time Rendering of Arbitrary Surface Geometries using Learnt Transfer
Sirikonda Dhawal, Aakash KT, P.J. Narayanan
ICVGIP 2022. [Paper]
19 Dec 2022
Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models
Ziyi Chang, Edmund J. C. Findlay, Haozheng Zhang, Hubert P. H. Shum
arXiv 2022. [Paper]
16 Dec 2022
Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion
Tengfei Wang, Bo Zhang, Ting Zhang, Shuyang Gu, Jianmin Bao, Tadas Baltrusaitis, Jingjing Shen, Dong Chen, Fang Wen, Qifeng Chen, Baining Guo
arXiv 2022. [Paper] [Project]
12 Dec 2022
Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models
Jiabao Lei, Jiapeng Tang, Kui Jia
CVPR 2023. [Paper] [Project] [Github]
12 Dec 2022
Ego-Body Pose Estimation via Ego-Head Pose Estimation
Jiaman Li, C. Karen Liu, Jiajun Wu
CVPR 2023. [Paper]
9 Dec 2022
MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis
Rishabh Dabral, Muhammad Hamza Mughal, Vladislav Golyanik, Christian Theobalt
CVPR 2023. [Paper] [Project]
8 Dec 2022
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation
Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tulyakov, Alexander Schwing, Liangyan Gui
CVPR 2023. [Paper] [Project]
8 Dec 2022
Executing your Commands via Motion Diffusion in Latent Space
Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, Gang Yu
CVPR 2023. [Paper] [Project] [Github]
8 Dec 2022
Magic: Multi Art Genre Intelligent Choreography Dataset and Network for 3D Dance Generation
Ronghui Li, Junfan Zhao, Yachao Zhang, Mingyang Su, Zeping Ren, Han Zhang, Xiu Li
arXiv 2022. [Paper]
7 Dec 2022
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors
Congyue Deng, Chiyu "Max'' Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas Guibas, Dragomir Anguelov
arXiv 2022. [Paper]
6 Dec 2022
Diffusion-SDF: Text-to-Shape via Voxelized Diffusion
Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu
CVPR 2023. [Paper] [Github]
6 Dec 2022
Pretrained Diffusion Models for Unified Human Motion Synthesis
Jianxin Ma, Shuai Bai, Chang Zhou
arXiv 2022. [Paper] [Project]
6 Dec 2022
DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Model
Jeongjun Choi, Dongseok Shim, H. Jin Kim
arXiv 2022. [Paper]
6 Dec 2022
PhysDiff: Physics-Guided Human Motion Diffusion Model
Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz
arXiv 2022. [Paper] [Project]
5 Dec 2022
Fast Point Cloud Generation with Straight Flows
Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu
arXiv 2022. [Paper]
4 Dec 2022
DiffRF: Rendering-Guided 3D Radiance Field Diffusion
Norman Müller, Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Matthias Nießner
CVPR 2023. [Paper] [Project]
2 Dec 2022
3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models
Gimin Nam, Mariem Khlifi, Andrew Rodriguez, Alberto Tono, Linqi Zhou, Paul Guerrero
arXiv 2022. [Paper]
1 Dec 2022
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation
Haochen Wang, Xiaodan Du, Jiahao Li, Raymond A. Yeh, Greg Shakhnarovich
CVPR 2023. [Paper] [Project]
1 Dec 2022
SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction
Zhizhuo Zhou, Shubham Tulsiani
CVPR 2023. [Paper] [Project] [Github]
1 Dec 2022
3D Neural Field Generation using Triplane Diffusion
J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, Gordon Wetzstein
arXiv 2022. [Paper] [Project]
30 Nov 2022
DiffPose: Toward More Reliable 3D Pose Estimation
Jia Gong, Lin Geng Foo, Zhipeng Fan, Qiuhong Ke, Hossein Rahmani, Jun Liu
CVPR 2023. [Paper] [Github]
30 Nov 2022
DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion models
Karl Holmquist, Bastian Wandt
arXiv 2022. [Paper] [Github]
29 Nov 2022
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model
Gwanghyun Kim, Se Young Chun
CVPR 2023. [Paper] [Github]
29 Nov 2022
NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views
Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang
arXiv 2022. [Paper] [Project] [Github]
29 Nov 2022
Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive Diffusion
Kui Zhang, Hang Zhou, Jie Zhang, Qidong Huang, Weiming Zhang, Nenghai Yu
arXiv 2022. [Paper]
29 Nov 2022
UDE: A Unified Driving Engine for Human Motion Generation
Zixiang Zhou, Baoyuan Wang
arXiv 2022. [Paper] [Project] [Github]
29 Nov 2022
3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models
Gang Li, Heliang Zheng, Chaoyue Wang, Chang Li, Changwen Zheng, Dacheng Tao
arXiv 2022. [Paper]
25 Nov 2022
DiffusionSDF: Conditional Generative Modeling of Signed Distance Functions
Gene Chou, Yuval Bahat, Felix Heide
arXiv 2022. [Paper] [Github]
24 Nov 2022
Tetrahedral Diffusion Models for 3D Shape Generation
Nikolai Kalischek, Torben Peters, Jan D. Wegner, Konrad Schindler
arXiv 2022. [Paper]
23 Nov 2022
IC3D: Image-Conditioned 3D Diffusion for Shape Generation
Cristian Sbrolli, Paolo Cudrano, Matteo Frosi, Matteo Matteucci
arXiv 2022. [Paper]
20 Nov 2022
Listen, denoise, action! Audio-driven motion synthesis with diffusion models
Simon Alexanderson, Rajmund Nagy, Jonas Beskow, Gustav Eje Henter
arXiv 2022. [Paper]
17 Nov 2022
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
Titas Anciukevičius, Zexiang Xu, Matthew Fisher, Paul Henderson, Hakan Bilen, Niloy J. Mitra, Paul Guerrero
CVPR 2023. [Paper] [Github]
17 Nov 2022
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures
Gal Metzer, Elad Richardson, Or Patashnik, Raja Giryes, Daniel Cohen-Or
arXiv 2022. [Paper] [Github]
14 Nov 2022
ReFu: Refine and Fuse the Unobserved View for Detail-Preserving Single-Image 3D Human Reconstruction
Gyumin Shim, Minsoo Lee, Jaegul Choo
ACM 2022. [Paper]
9 Nov 2022
StructDiffusion: Object-Centric Diffusion for Semantic Rearrangement of Novel Objects
Weiyu Liu, Tucker Hermans, Sonia Chernova, Chris Paxton
RSS 2023. [Paper]
8 Nov 2022
Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion Model
Zhiyuan Ren, Zhihong Pan, Xin Zhou, Le Kang
ICASSP 2023. [Paper]
22 Oct 2022
LION: Latent Point Diffusion Models for 3D Shape Generation
Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis
NeurIPS 2022. [Paper] [Project]
12 Oct 2022
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction
Dong Wei, Huaijiang Sun, Bin Li, Jianfeng Lu, Weiqing Li, Xiaoning Sun, Shengxiang Hu
AAAI 2023. [Paper]
12 Oct 2022
A generic diffusion-based approach for 3D human pose prediction in the wild
Saeed Saadatnejad, Ali Rasekh, Mohammadreza Mofayezi, Yasamin Medghalchi, Sara Rajabzadeh, Taylor Mordan, Alexandre Alahi
ICRA 2023. [Paper]
11 Oct 2022
Novel View Synthesis with Diffusion Models
Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi
ICLR 2023. [Paper]
6 Oct 2022
Neural Volumetric Mesh Generator
Yan Zheng, Lemeng Wu, Xingchao Liu, Zhen Chen, Qiang Liu, Qixing Huang
NeurIPS Workshop 2022. [Paper]
6 Oct 2022
Denoising Diffusion Probabilistic Models for Styled Walking Synthesis
Edmund J. C. Findlay, Haozheng Zhang, Ziyi Chang, Hubert P. H. Shum
ICLR 2023. [Paper]
29 Sep 2022
Human Motion Diffusion Model
Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Amit H. Bermano, Daniel Cohen-Or
arXiv 2022. [Paper] [Project]
29 Sep 2022
ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation
Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu
ICLR 2023. [Paper] [Github]
9 Sep 2022
SE(3)-DiffusionFields: Learning cost functions for joint grasp and motion optimization through diffusion
Julen Urain, Niklas Funk, Georgia Chalvatzaki, Jan Peters
arXiv 2022. [Paper] [Github]
8 Sep 2022
First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data
Mao Ye, Lemeng Wu, Qiang Liu
NeruIPS 2022. [Paper]
2 Sep 2022
FLAME: Free-form Language-based Motion Synthesis & Editing
Jihoon Kim, Jiseob Kim, Sungjoon Choi
AAAI 2023. [Paper]
1 Sep 2022
Let us Build Bridges: Understanding and Extending Diffusion Generative Models
Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu
NeurIPS Workshop 2022. [Paper]
31 Aug 2022
MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
Mingyuan Zhang, Zhongang Cai, Liang Pan, Fangzhou Hong, Xinying Guo, Lei Yang, Ziwei Liu
arXiv 2022. [Paper] [Project]
31 Aug 2022
A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images
Dominik J. E. Waibel, Ernst Röell, Bastian Rieck, Raja Giryes, Carsten Marr
arXiv 2022. [Paper]
30 Aug 2022
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition
Jiachen Sun, Weili Nie, Zhiding Yu, Z. Morley Mao, Chaowei Xiao
arXiv 2022. [Paper]
21 Aug 2022
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion
Zhaoyang Lyu, Zhifeng Kong, Xudong Xu, Liang Pan, Dahua Lin
ICLR 2022. [Paper] [Github]
7 Dec 2021
Score-Based Point Cloud Denoising
Shitong Luo, Wei Hu
ICCV 2021. [Paper] [Github]
23 Jul 2021
DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras
Ruizhi Shao, Zerong Zheng, Hongwen Zhang, Jingxiang Sun, Yebin Liu
ECCV 2022. [Paper] [Project] [Github]
16 Jul 2022
3D Shape Generation and Completion through Point-Voxel Diffusion
Linqi Zhou, Yilun Du, Jiajun Wu
ICCV 2021. [Paper] [Project]
8 Apr 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo, Wei Hu
CVPR 2021. [Paper] [Github]
2 Mar 2021
AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models
Xuelong Dai, Kaisheng Liang, Bin Xiao
arXiv 2023. [Paper]
24 Jul 2023
Enhancing Adversarial Robustness via Score-Based Optimization
Boya Zhang, Weijian Luo, Zhihua Zhang
arXiv 2023. [Paper]
10 Jul 2023
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks in the Physical World
Caixin Kang, Yinpeng Dong, Zhengyi Wang, Shouwei Ruan, Hang Su, Xingxing Wei
arXiv 2023. [Paper]
15 Jun 2023
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization
Fei Kong, Jinhao Duan, RuiPeng Ma, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
arXiv 2023. [Paper]
26 May 2023
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen
arXiv 2023. [Paper] [Github]
25 May 2023
Differentially Private Latent Diffusion Models
Saiyue Lyu, Margarita Vinaroz, Michael F. Liu, Mijung Park
arXiv 2023. [Paper]
25 May 2023
Latent Magic: An Investigation into Adversarial Examples Crafted in the Semantic Latent Space
BoYang Zheng
arXiv 2023. [Paper]
22 May 2023
Mist: Towards Improved Adversarial Examples for Diffusion Models
Chumeng Liang, Xiaoyu Wu
arXiv 2023. [Paper]
22 May 2023
Content-based Unrestricted Adversarial Attack
Zhaoyu Chen, Bo Li, Shuang Wu, Kaixun Jiang, Shouhong Ding, Wenqiang Zhang
arXiv 2023. [Paper]
18 May 2023
Zero-Day Backdoor Attack against Text-to-Image Diffusion Models via Personalization
Yihao Huang, Qing Guo, Felix Juefei-Xu
arXiv 2023. [Paper]
18 May 2023
Raising the Bar for Certified Adversarial Robustness with Diffusion Models
Thomas Altstidl, David Dobre, Björn Eskofier, Gauthier Gidel, Leo Schwinn
arXiv 2023. [Paper]
17 May 2023
Diffusion Models for Imperceptible and Transferable Adversarial Attack
Jianqi Chen, Hao Chen, Keyan Chen, Yilan Zhang, Zhengxia Zou, Zhenwei Shi
arXiv 2023. [Paper] [Github]
14 May 2023
On enhancing the robustness of Vision Transformers: Defensive Diffusion
Raza Imam, Muhammad Huzaifa, Mohammed El-Amine Azz
arXiv 2023. [Paper] [Github]
14 May 2023
Generative Steganography Diffusion
Ping Wei, Qing Zhou, Zichi Wang, Zhenxing Qian, Xinpeng Zhang, Sheng Li
arXiv 2023. [Paper]
5 May 2023
A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion
Haomin Zhuang, Yihua Zhang, Sijia Liu
CVPR Workshop 2023. [Paper]
3 Apr 2023
Black-box Backdoor Defense via Zero-shot Image Purification
Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Ninghao Liu
arXiv 2023. [Paper]
21 Mar 2023
Adversarial Counterfactual Visual Explanations
Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
CVPR 2023. [Paper] [Github]
17 Mar 2023
Robust Evaluation of Diffusion-Based Adversarial Purification
Minjong Lee, Dongwoo Kim
ICLR 2023. [Paper]
16 Mar 2023
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models
Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie
arXiv 2023. [Paper]
15 Mar 2023
TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets
Weixin Chen, Dawn Song, Bo Li
CVPR 2023. [Paper] [Github]
10 Mar 2023
Generative Model-Based Attack on Learnable Image Encryption for Privacy-Preserving Deep Learning
AprilPyone MaungMaung, Hitoshi Kiya
arXiv 2023. [Paper]
9 Mar 2023
Differentially Private Diffusion Models Generate Useful Synthetic Images
Sahra Ghalebikesabi, Leonard Berrada, Sven Gowal, Ira Ktena, Robert Stanforth, Jamie Hayes, Soham De, Samuel L. Smith, Olivia Wiles, Borja Balle
arXiv 2023. [Paper]
27 Feb 2023
Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy
Derui Zhu, Dingfan Chen, Jens Grossklags, Mario Fritz
arXiv 2023. [Paper]
15 Feb 2023
Raising the Cost of Malicious AI-Powered Image Editing
Hadi Salman, Alaa Khaddaj, Guillaume Leclerc, Andrew Ilyas, Aleksander Madry
arXiv 2023. [Paper] [Github]
13 Feb 2023
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
arXiv 2023. [Paper]
9 Feb 2023
Better Diffusion Models Further Improve Adversarial Training
Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan
arXiv 2023. [Paper] [Github]
9 Feb 2023
Membership Inference Attacks against Diffusion Models
Tomoya Matsumoto, Takayuki Miura, Naoto Yanai
arXiv 2023. [Paper]
7 Feb 2023
MorDIFF: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Diffusion Autoencoders
Naser Damer, Meiling Fang, Patrick Siebke, Jan Niklas Kolf, Marco Huber, Fadi Boutros
IWBF 2023. [Paper] [Github]
3 Feb 2023
Extracting Training Data from Diffusion Models
Nicholas Carlini, Jamie Hayes, Milad Nasr, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, Eric Wallace
arXiv 2023. [Paper]
2 Feb 2023
Are Diffusion Models Vulnerable to Membership Inference Attacks?
Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu
arXiv 2023. [Paper]
2 Feb 2023
Salient Conditional Diffusion for Defending Against Backdoor Attacks
Brandon B. May, N. Joseph Tatro, Piyush Kumar, Nathan Shnidman
ICLR Workshop 2023. [Paper]
31 Jan 2023
Extracting Training Data from Diffusion Models
Nicholas Carlini, Jamie Hayes, Milad Nasr, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, Eric Wallace
arXiv 2023. [Paper]
30 Jan 2023
Membership Inference of Diffusion Models
Hailong Hu, Jun Pang
arXiv 2023. [Paper]
24 Jan 2023
Denoising Diffusion Probabilistic Models as a Defense against Adversarial Attacks
Lars Lien Ankile, Anna Midgley, Sebastian Weisshaar
arXiv 2023. [Paper] [Github]
17 Jan 2023
Fight Fire With Fire: Reversing Skin Adversarial Examples by Multiscale Diffusive and Denoising Aggregation Mechanism
Yongwei Wang, Yuan Li, Zhiqi Shen
arXiv 2022. [Paper]
22 Aug 2022
DensePure: Understanding Diffusion Models towards Adversarial Robustness
Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song
NeurIPS 2022. [Paper]
1 Nov 2022
Improving Adversarial Robustness by Contrastive Guided Diffusion Process
Yidong Ouyang, Liyan Xie, Guang Cheng
arXiv 2022. [Paper]
18 Oct 2022
Differentially Private Diffusion Models
Tim Dockhorn, Tianshi Cao, Arash Vahdat, Karsten Kreis
arXiv 2022. [Paper] [Project]
18 Oct 2022
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition
Jiachen Sun, Weili Nie, Zhiding Yu, Z. Morley Mao, Chaowei Xiao
arXiv 2022. [Paper]
21 Aug 2022
Threat Model-Agnostic Adversarial Defense using Diffusion Models
Tsachi Blau, Roy Ganz, Bahjat Kawar, Alex Bronstein, Michael Elad
arXiv 2022. [Paper] [Github]
17 Jul 2022
Back to the Source: Diffusion-Driven Test-Time Adaptation
Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang
arXiv 2022. [Paper] [Github]
7 Jul 2022
Guided Diffusion Model for Adversarial Purification from Random Noise
Quanlin Wu, Hang Ye, Yuntian Gu
arXiv 2022. [Paper]
17 Jun 2022
(Certified!!) Adversarial Robustness for Free!
Nicholas Carlini, Florian Tramer, Krishnamurthy (Dj)Dvijotham, J. Zico Kolter
ICLR 2023. [Paper]
21 Jun 2022
Guided Diffusion Model for Adversarial Purification
Jinyi Wang, Zhaoyang Lyu, Dahua Lin, Bo Dai, Hongfei Fu
ICML 2022. [Paper] [Github]
30 May 2022
Diffusion Models for Adversarial Purification
Weili Nie, Brandon Guo, Yujia Huang, Chaowei Xiao, Arash Vahdat, Anima Anandkumar
ICML 2022. [Paper] [Project] [Github]
16 May 2022
TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic models
Tijin Yan, Tong Zhou, Yufeng Zhan, Yuanqing Xia
Elsveier Knowledge-Based Systems 2021. [Paper]
20 Dec 2021
Adversarial purification with Score-based generative models
Jongmin Yoon, Sung Ju Hwang, Juho Lee
ICML 2021. [Paper] [Github]
11 Jun 2021
Not with my name! Inferring artists' names of input strings employed by Diffusion Models
Roberto Leotta, Oliver Giudice, Luca Guarnera, Sebastiano Battiato
arXiv 2023. [Paper]
25 Jul 2023
Data-free Black-box Attack based on Diffusion Model
Mingwen Shao, Lingzhuang Meng, Yuanjian Qiao, Lixu Zhang, Wangmeng Zuo
arXiv 2023. [Paper]
24 Jul 2023
Diffusion Models for Probabilistic Deconvolution of Galaxy Images
Zhiwei Xue, Yuhang Li, Yash Patel, Jeffrey Regier
arXiv 2023. [Paper] [Github]
20 Jul 2023
BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly Detection
Jitao Ma, Weiying Xie, Yunsong Li, Leyuan Fang
arXiv 2023. [Paper]
19 Jul 2023
Unstoppable Attack: Label-Only Model Inversion via Conditional Diffusion Model
Rongke Liu
arXiv 2023. [Paper]
17 Jul 2023
LafitE: Latent Diffusion Model with Feature Editing for Unsupervised Multi-class Anomaly Detection
Haonan Yin, Guanlong Jiao, Qianhui Wu, Borje F. Karlsson, Biqing Huang, Chin Yew Lin
arXiv 2023. [Paper]
16 Jul 2023
Improved Flood Insights: Diffusion-Based SAR to EO Image Translation
Minseok Seo, Youngtack Oh, Doyi Kim, Dongmin Kang, Yeji Choi
arXiv 2023. [Paper]
14 Jul 2023
Exposing the Fake: Effective Diffusion-Generated Images Detection
Ruipeng Ma, Jinhao Duan, Fei Kong, Xiaoshuang Shi, Kaidi Xu
ICML 2023. [Paper]
12 Jul 2023
On the Vulnerability of DeepFake Detectors to Attacks Generated by Denoising Diffusion Models
Marija Ivanovska, Vitomir Štruc
arXiv 2023. [Paper]
11 Jul 2023
Unsupervised 3D out-of-distribution detection with latent diffusion models
Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee H. Mah, James T. Teo, H. Rolf Jäger, David Werring, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso
arXiv 2023. [Paper] [Github]
7 Jul 2023
Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Model
Shuaikai Shi, Lijun Zhang, Jie Chen
arXiv 2023. [Paper]
7 Jul 2023
Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback
TaeHo Yoon, Kibeom Myoung, Keon Lee, Jaewoong Cho, Albert No, Ernest K. Ryu
arXiv 2023. [Paper] [Github]
6 Jul 2023
Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality
Peter Lorenz, Ricard Durall, Janis Keuper
arXiv 2023. [Paper]
5 Jul 2023
Diffusion Models for Computational Design at the Example of Floor Plans
Joern Ploennigs, Markus Berger
arXiv 2023. [Paper]
5 Jul 2023
RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation
Renato Sortino, Thomas Cecconello, Andrea DeMarco, Giuseppe Fiameni, Andrea Pilzer, Andrew M. Hopkins, Daniel Magro, Simone Riggi, Eva Sciacca, Adriano Ingallinera, Cristobal Bordiu, Filomena Bufano, Concetto Spampinato
arXiv 2023. [Paper]
5 Jul 2023
TomatoDIFF: On-plant Tomato Segmentation with Denoising Diffusion Models
Marija Ivanovska, Vitomir Struc, Janez Pers
arXiv 2023. [Paper]
3 Jul 2023
Squeezing Large-Scale Diffusion Models for Mobile
Jiwoong Choi, Minkyu Kim, Daehyun Ahn, Taesu Kim, Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Jae-Joon Kim, Hyungjun Kim
arXiv 2023. [Paper]
3 Jul 2023
Class-Incremental Learning using Diffusion Model for Distillation and Replay
Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
arXiv 2023. [Paper]
30 Jun 2023
ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion Models
Weihao Cheng, Yan-Pei Cao, Ying Shan
arXiv 2023. [Paper]
29 Jun 2023
Learning Structure-Guided Diffusion Model for 2D Human Pose Estimation
Zhongwei Qiu, Qiansheng Yang, Jian Wang, Xiyu Wang, Chang Xu, Dongmei Fu, Kun Yao, Junyu Han, Errui Ding, Jingdong Wang
arXiv 2023. [Paper]
29 Jun 2023
DiffusionSTR: Diffusion Model for Scene Text Recognition
Masato Fujitake
arXiv 2023. [Paper]
29 Jun 2023
Filtered-Guided Diffusion: Fast Filter Guidance for Black-Box Diffusion Models
Zeqi Gu, Abe Davis
arXiv 2023. [Paper] [Github]
29 Jun 2023
ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion Models
Weihao Cheng, Yan-Pei Cao, Ying Shan
arXiv 2023. [Paper]
29 Jun 2023
Face Morphing Attack Detection with Denoising Diffusion Probabilistic Models
Marija Ivanovska, Vitomir Štruc
arXiv 2023. [Paper]
27 Jun 2023
PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment
Jianyuan Wang, Christian Rupprecht, David Novotny
arXiv 2023. [Paper]
27 Jun 2023
Fuzzy-Conditioned Diffusion and Diffusion Projection Attention Applied to Facial Image Correction
Majed El Helou
arXiv 2023. [Paper]
26 Jun 2023
Towards More Realistic Membership Inference Attacks on Large Diffusion Models
Jan Dubiński, Antoni Kowalczuk, Stanisław Pawlak, Przemysław Rokita, Tomasz Trzciński, Paweł Morawiecki
arXiv 2023. [Paper]
22 Jun 2023
DiffWA: Diffusion Models for Watermark Attack
Xinyu Li
arXiv 2023. [Paper]
22 Jun 2023
Improving visual image reconstruction from human brain activity using latent diffusion models via multiple decoded inputs
Yu Takagi, Shinji Nishimoto
arXiv 2023. [Paper]
20 Jun 2023
Diffusion model based data generation for partial differential equations
Rucha Apte, Sheel Nidhan, Rishikesh Ranade, Jay Pathak
arXiv 2023. [Paper]
19 Jun 2023
GenPose: Generative Category-level Object Pose Estimation via Diffusion Models
Jiyao Zhang, Mingdong Wu, Hao Dong
arXiv 2023. [Paper]
18 Jun 2023
Drag-guided diffusion models for vehicle image generation
Nikos Arechiga, Frank Permenter, Binyang Song, Chenyang Yuan
arXiv 2023. [Paper]
16 Jun 2023
R2-Diff: Denoising by diffusion as a refinement of retrieved motion for image-based motion prediction
Takeru Oba, Norimichi Ukita
arXiv 2023. [Paper]
15 Jun 2023
On the Robustness of Latent Diffusion Models
Jianping Zhang, Zhuoer Xu, Shiwen Cui, Changhua Meng, Weibin Wu, Michael R. Lyu
arXiv 2023. [Paper]
14 Jun 2023
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho
arXiv 2023. [Paper]
12 Jun 2023
Boosting GUI Prototyping with Diffusion Models
Jialiang Wei, Anne-Lise Courbis, Thomas Lambolais, Binbin Xu, Pierre Louis Bernard, Gérard Dray
arXiv 2023. [Paper]
9 Jun 2023
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Model
Yule Wang, Zijing Wu, Chengrui Li, Anqi Wu
arXiv 2023. [Paper] [Github]
9 Jun 2023
Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model
Yida Chen, Fernanda Viégas, Martin Wattenberg
arXiv 2023. [Paper]
9 Jun 2023
PriSampler: Mitigating Property Inference of Diffusion Models
Hailong Hu, Jun Pang
arXiv 2023. [Paper]
8 Jun 2023
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
George Stein, Jesse C. Cresswell, Rasa Hosseinzadeh, Yi Sui, Brendan Leigh Ross, Valentin Villecroze, Zhaoyan Liu, Anthony L. Caterini, J. Eric T. Taylor, Gabriel Loaiza-Ganem
arXiv 2023. [Paper] [Github]
7 Jun 2023
Phoenix: A Federated Generative Diffusion Model
Fiona Victoria Stanley Jothiraj, Afra Mashhadi
arXiv 2023. [Paper]
7 Jun 2023
High-dimensional and Permutation Invariant Anomaly Detection
Vinicius Mikuni, Benjamin Nachman
arXiv 2023. [Paper]
6 Jun 2023
Emergent Correspondence from Image Diffusion
Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, Bharath Hariharan
arXiv 2023. [Paper]
6 Jun 2023
Phoenix: A Federated Generative Diffusion Model
Fiona Victoria Stanley Jothiraj, Afra Mashhadi
arXiv 2023. [Paper]
7 Jun 2023
Change Diffusion: Change Detection Map Generation Based on Difference-Feature Guided DDPM
Yihan Wen, Jialu Sui, Xianping Ma, Wendi Liang, Xiaokang Zhang, Man-On Pun
arXiv 2023. [Paper]
6 Jun 2023
Towards Visual Foundational Models of Physical Scenes
Chethan Parameshwara, Alessandro Achille, Matthew Trager, Xiaolong Li, Jiawei Mo, Matthew Trager, Ashwin Swaminathan, CJ Taylor, Dheera Venkatraman, Xiaohan Fei, Stefano Soatto
arXiv 2023. [Paper]
6 Jun 2023
Protecting the Intellectual Property of Diffusion Models by the Watermark Diffusion Process
Sen Peng, Yufei Chen, Cong Wang, Xiaohua Jia
arXiv 2023. [Paper]
6 Jun 2023
Emergent Correspondence from Image Diffusion
Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, Bharath Hariharan
arXiv 2023. [Paper] [Project]
6 Jun 2023
Enhance Diffusion to Improve Robust Generalization
Jianhui Sun, Sanchit Sinha, Aidong Zhang
arXiv 2023. [Paper]
5 Jun 2023
Training Data Attribution for Diffusion Models
Zheng Dai, David K Gifford
arXiv 2023. [Paper]
3 Jun 2023
Deep Classifier Mimicry without Data Access
Steven Braun, Martin Mundt, Kristian Kersting
arXiv 2023. [Paper]
3 Jun 2023
Quantifying Sample Anonymity in Score-Based Generative Models with Adversarial Fingerprinting
Mischa Dombrowski, Bernhard Kainz
arXiv 2023. [Paper]
2 Jun 2023
Generative Autoencoders as Watermark Attackers: Analyses of Vulnerabilities and Threats
Xuandong Zhao, Kexun Zhang, Yu-Xiang Wang, Lei Li
arXiv 2023. [Paper]
2 Jun 2023
PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models
Jiacheng Chen, Ruizhi Deng, Yasutaka Furukawa
arXiv 2023. [Paper]
2 Jun 2023
Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation
Zhengyue Zhao, Jinhao Duan, Xing Hu, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen
arXiv 2023. [Paper]
2 Jun 2023
Robust Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers
Ruotong Wang, Hongrui Chen, Zihao Zhu, Li Liu, Yong Zhang, Yanbo Fan, Baoyuan Wu
arXiv 2023. [Paper]
1 Jun 2023
Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust
Yuxin Wen, John Kirchenbauer, Jonas Geiping, Tom Goldstein
arXiv 2023. [Paper] [Github]
31 May 2023
GANDiffFace: Controllable Generation of Synthetic Datasets for Face Recognition with Realistic Variations
Pietro Melzi, Christian Rathgeb, Ruben Tolosana, Ruben Vera-Rodriguez, Dominik Lawatsch, Florian Domin, Maxim Schaubert
arXiv 2023. [Paper]
31 May 2023
Improving Handwritten OCR with Training Samples Generated by Glyph Conditional Denoising Diffusion Probabilistic Model
Haisong Ding, Bozhi Luan, Dongnan Gui, Kai Chen, Qiang Huo
arXiv 2023. [Paper]
31 May 2023
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels
Jian Chen, Ruiyi Zhang, Tong Yu, Rohan Sharma, Zhiqiang Xu, Tong Sun, Changyou Chen
arXiv 2023. [Paper] [Github]
31 May 2023
DiffMatch: Diffusion Model for Dense Matching
Jisu Nam, Gyuseong Lee, Sunwoo Kim, Hyeonsu Kim, Hyoungwon Cho, Seyeon Kim, Seungryong Kim
arXiv 2023. [Paper] [Project]
30 May 2023
Calliffusion: Chinese Calligraphy Generation and Style Transfer with Diffusion Modeling
Qisheng Liao, Gus Xia, Zhinuo Wang
arXiv 2023. [Paper]
30 May 2023
Diffusion-Stego: Training-free Diffusion Generative Steganography via Message Projection
Daegyu Kim, Chaehun Shin, Jooyoung Choi, Dahuin Jung, Sungroh Yoon
arXiv 2023. [Paper]
30 May 2023
On Diffusion Modeling for Anomaly Detection
Victor Livernoche, Vineet Jain, Yashar Hezaveh, Siamak Ravanbakhsh
arXiv 2023. [Paper]
29 May 2023
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
Giorgio Giannone, Akash Srivastava, Ole Winther, Faez Ahmed
arXiv 2023. [Paper]
29 May 2023
Generating Driving Scenes with Diffusion
Ethan Pronovost, Kai Wang, Nick Roy
arXiv 2023. [Paper]
29 May 2023
Generative Diffusion for 3D Turbulent Flows
Marten Lienen, Jan Hansen-Palmus, David Lüdke, Stephan Günnemann
arXiv 2023. [Paper]
29 May 2023
GlyphControl: Glyph Conditional Control for Visual Text Generation
Yukang Yang, Dongnan Gui, Yuhui Yuan, Haisong Ding, Han Hu, Kai Chen
arXiv 2023. [Paper] [Github]
29 May 2023
High-Fidelity Image Compression with Score-based Generative Models
Emiel Hoogeboom, Eirikur Agustsson, Fabian Mentzer, Luca Versari, George Toderici, Lucas Theis
arXiv 2023. [Paper]
26 May 2023
CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models
Zhongxi Chen, Ke Sun, Xianming Lin, Rongrong Ji
arXiv 2023. [Paper]
29 May 2023
DiffusionNAG: Task-guided Neural Architecture Generation with Diffusion Models
Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang
arXiv 2023. [Paper]
26 May 2023
CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganography
Jiwen Yu, Xuanyu Zhang, Youmin Xu, Jian Zhang
arXiv 2023. [Paper] [Github]
26 May 2023
DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models
Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Jiliang Tang
arXiv 2023. [Paper]
25 May 2023
Realistic Noise Synthesis with Diffusion Models
Qi Wu, Mingyan Han, Ting Jiang, Haoqiang Fan, Bing Zeng, Shuaicheng Liu
arXiv 2023. [Paper]
23 May 2023
Anomaly Detection with Conditioned Denoising Diffusion Models
Arian Mousakhan, Thomas Brox, Jawad Tayyub
arXiv 2023. [Paper]
25 May 2023
Anomaly Detection in Satellite Videos using Diffusion Models
Akash Awasthi, Son Ly, Jaer Nizam, Samira Zare, Videet Mehta, Safwan Ahmed, Keshav Shah, Ramakrishna Nemani, Saurabh Prasad, Hien Van Nguyen
arXiv 2023. [Paper]
25 May 2023
Knowledge Diffusion for Distillation
Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu
arXiv 2023. [Paper] [Github]
25 May 2023
Zero-shot Generation of Training Data with Denoising Diffusion Probabilistic Model for Handwritten Chinese Character Recognition
Dongnan Gui, Kai Chen, Haisong Ding, Qiang Huo
arXiv 2023. [Paper]
25 May 2023
Unsupervised Semantic Correspondence Using Stable Diffusion
Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
arXiv 2023. [Paper]
24 May 2023
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence
Junyi Zhang, Charles Herrmann, Junhwa Hur, Luisa Polania Cabrera, Varun Jampani, Deqing Sun, Ming-Hsuan Yang
arXiv 2023. [Paper] [Project]
24 May 2023
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence
Grace Luo, Lisa Dunlap, Dong Huk Park, Aleksander Holynski, Trevor Darrell
arXiv 2023. [Paper] [Project]
23 May 2023
DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection
Jiang Liu, Chun Pong Lau, Rama Chellappa
arXiv 2023. [Paper]
23 May 2023
GSURE-Based Diffusion Model Training with Corrupted Data
Bahjat Kawar, Noam Elata, Tomer Michaeli, Michael Elad
arXiv 2023. [Paper] [Github]
22 May 2023
Watermarking Diffusion Model
Yugeng Liu, Zheng Li, Michael Backes, Yun Shen, Yang Zhang
arXiv 2023. [Paper]
21 May 2023
DiffUCD:Unsupervised Hyperspectral Image Change Detection with Semantic Correlation Diffusion Model
Xiangrong Zhang, Shunli Tian, Guanchun Wang, Huiyu Zhou, Licheng Jiao
arXiv 2023. [Paper]
21 May 2023
Incomplete Multi-view Clustering via Diffusion Completion
Sifan Fang
arXiv 2023. [Paper]
19 May 2023
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models
Ziyi Wu, Jingyu Hu, Wuyue Lu, Igor Gilitschenski, Animesh Garg
arXiv 2023. [Paper]
18 May 2023
Selective Guidance: Are All the Denoising Steps of Guided Diffusion Important?
Pareesa Ameneh Golnari, Zhewei Yao, Yuxiong He
arXiv 2023. [Paper]
16 May 2023
A Method for Training-free Person Image Picture Generation
Tianyu Chen
ICOAI 2023. [Paper]
16 May 2023
Constructing a personalized AI assistant for shear wall layout using Stable Diffusion
Lufeng Wang, Jiepeng Liu, Guozhong Cheng, En Liu, Wei Chen
arXiv 2023. [Paper]
18 May 2023
DiffUTE: Universal Text Editing Diffusion Model
Chen, Haoxing, Xu, Zhuoer, Gu, Zhangxuan, Lan, Jun, Zheng, Xing, Li, Yaohui, Meng, Changhua, Zhu, Huijia, Wang, Weiqiang
arXiv 2023. [Paper] [Github]
18 May 2023
CDDM: Channel Denoising Diffusion Models for Wireless Communications
Tong Wu, Zhiyong Chen, Dazhi He, Liang Qian, Yin Xu, Meixia Tao, Wenjun Zhang
arXiv 2023. [Paper]
16 May 2023
Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples
Wan Jiang, Yunfeng Diao, He Wang, Jianxin Sun, Meng Wang, Richang Hong
arXiv 2023. [Paper]
16 May 2023
Diffusion Dataset Generation: Towards Closing the Sim2Real Gap for Pedestrian Detection
Andrew Farley, Mohsen Zand, Michael Greenspan
CRV 2023. [Paper]
16 May 2023
A Reproducible Extraction of Training Images from Diffusion Models
Ryan Webster
arXiv 2023. [Paper] [Github]
15 May 2023
Laughing Matters: Introducing Laughing-Face Generation using Diffusion Models
Antoni Bigata Casademunt, Rodrigo Mira, Nikita Drobyshev, Konstantinos Vougioukas, Stavros Petridis, Maja Pantic
arXiv 2023. [Paper]
15 May 2023
Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures
Wei Yuan, Shilong Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin
arXiv 2023. [Paper]
14 May 2023
Undercover Deepfakes: Detecting Fake Segments in Videos
Sanjay Saha, Rashindrie Perera, Sachith Seneviratne, Tamasha Malepathirana, Sanka Rasnayaka, Deshani Geethika, Terence Sim, Saman Halgamuge
arXiv 2023. [Paper] [Github]
11 May 2023
Comprehensive Dataset of Synthetic and Manipulated Overhead Imagery for Development and Evaluation of Forensic Tools
Brandon B. May, Kirill Trapeznikov, Shengbang Fang, Matthew C. Stamm
arXiv 2023. [Paper]
9 May 2023
DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic Models
Žiga Babnik, Peter Peer, Vitomir Štruc
arXiv 2023. [Paper]
9 May 2023
Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning
Shengfang Zhai, Yinpeng Dong, Qingni Shen, Shi Pu, Yuejian Fang, Hang Su
arXiv 2023. [Paper]
7 May 2023
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model
Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue
arXiv 2023. [Paper]
6 May 2023
Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework
Ruijia Wu, Yuhang Wang, Huafeng Shi, Zhipeng Yu, Yichao Wu, Ding Liang
arXiv 2023. [Paper]
6 May 2023
Conditional Diffusion Feature Refinement for Continuous Sign Language Recognition
Leming Guo, Wanli Xue, Qing Guo, Yuxi Zhou, Tiantian Yuan, Shengyong Chen
arXiv 2023. [Paper]
5 May 2023
LayoutDM: Transformer-based Diffusion Model for Layout Generation
Shang Chai, Liansheng Zhuang, Fengying Yan
CVPR 2023. [Paper]
4 May 2023
Long-Term Rhythmic Video Soundtracker
Jiashuo Yu, Yaohui Wang, Xinyuan Chen, Xiao Sun, Yu Qiao
ICML 2023. [Paper] [Github]
2 May 2023
Putting People in Their Place: Affordance-Aware Human Insertion into Scenes
Sumith Kulal, Tim Brooks, Alex Aiken, Jiajun Wu, Jimei Yang, Jingwan Lu, Alexei A. Efros, Krishna Kumar Singh
CVPR 2023. [Paper] [Project] [Github]
27 Apr 2023
Single-View Height Estimation with Conditional Diffusion Probabilistic Models
Isaac Corley, Peyman Najafirad
arXiv 2023. [Paper]
26 Apr 2023
Diffusion Probabilistic Model Based Accurate and High-Degree-of-Freedom Metasurface Inverse Design
Zezhou Zhang, Chuanchuan Yang, Yifeng Qin, Hao Feng, Jiqiang Feng, Hongbin Li
arXiv 2023. [Paper]
25 Apr 2023
Improving Synthetically Generated Image Detection in Cross-Concept Settings
Pantelis Dogoulis, Giorgos Kordopatis-Zilos, Ioannis Kompatsiaris, Symeon Papadopoulos
arXiv 2023. [Paper]
24 Apr 2023
Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis
Yansong Gao, Zhihong Pan, Xin Zhou, Le Kang, Pratik Chaudhari
arXiv 2023. [Paper]
22 Apr 2023
Speed Is All You Need: On-Device Acceleration of Large Diffusion Models via GPU-Aware Optimizations
Yu-Hui Chen, Raman Sarokin, Juhyun Lee, Jiuqiang Tang, Chuo-Ling Chang, Andrei Kulik, Matthias Grundmann
CVPR 2023 Workshop. [Paper]
21 Apr 2023
A data augmentation perspective on diffusion models and retrieval
Max F. Burg, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, Chris Russell
arXiv 2023. [Paper]
20 Apr 2023
Diffusion models with location-scale noise
Alexia Jolicoeur-Martineau, Kilian Fatras, Ke Li, Tal Kachman
arXiv 2023. [Paper]
12 Apr 2023
Exploring Diffusion Models for Unsupervised Video Anomaly Detection
Anil Osman Tur, Nicola Dall'Asen, Cigdem Beyan, Elisa Ricci
arXiv 2023. [Paper]
12 Apr 2023
CamDiff: Camouflage Image Augmentation via Diffusion Model
Xue-Jing Luo, Shuo Wang, Zongwei Wu, Christos Sakaridis, Yun Cheng, Deng-Ping Fan, Luc Van Gool
arXiv 2023. [Paper] [Github]
11 Apr 2023
DDRF: Denoising Diffusion Model for Remote Sensing Image Fusion
ZiHan Cao, ShiQi Cao, Xiao Wu, JunMing Hou, Ran Ran, Liang-Jian Deng
arXiv 2023. [Paper]
10 Apr 2023
CCLAP: Controllable Chinese Landscape Painting Generation via Latent Diffusion Model
Zhongqi Wang, Jie Zhang, Zhilong Ji, Jinfeng Bai, Shiguang Shan
arXiv 2023. [Paper]
9 Apr 2023
ChiroDiff: Modelling chirographic data with Diffusion Models
Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song
ICLR 2023. [Paper] [Project]
7 Apr 2023
RoSteALS: Robust Steganography using Autoencoder Latent Space
Tu Bui, Shruti Agarwal, Ning Yu, John Collomosse
CVPR Workshop 2023. [Paper] [Github]
6 Apr 2023
JPEG Compressed Images Can Bypass Protections Against AI Editing
Pedro Sandoval-Segura, Jonas Geiping, Tom Goldstein
arXiv 2023. [Paper]
5 Apr 2023
Learning to Read Braille: Bridging the Tactile Reality Gap with Diffusion Models
Carolina Higuera, Byron Boots, Mustafa Mukadam
arXiv 2023. [Paper]
3 Apr 2023
Textile Pattern Generation Using Diffusion Models
Halil Faruk Karagoz, Gulcin Baykal, Irem Arikan Eksi, Gozde Unal
ITFC 2023. [Paper]
2 Apr 2023
Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images
Roberto Amoroso, Davide Morelli, Marcella Cornia, Lorenzo Baraldi, Alberto Del Bimbo, Rita Cucchiara
ACM 2023. [Paper]
2 Apr 2023
NeuroDAVIS: A neural network model for data visualization
Chayan Maitra, Dibyendu B. Seal, Rajat K. De
arXiv 2023. [Paper]
1 Apr 2023
Diffusion Action Segmentation
Daochang Liu, Qiyue Li, AnhDung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu
arXiv 2023. [Paper]
31 Mar 2023
One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models
Yasser Benigmim, Subhankar Roy, Slim Essid, Vicky Kalogeiton, Stéphane Lathuilière
arXiv 2023. [Paper]
31 Mar 2023
DDP: Diffusion Model for Dense Visual Prediction
Yuanfeng Ji, Zhe Chen, Enze Xie, Lanqing Hong, Xihui Liu, Zhaoqiang Liu, Tong Lu, Zhenguo Li, Ping Luo
arXiv 2023. [Paper]
30 Mar 2023
WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models
Konstantina Nikolaidou, George Retsinas, Vincent Christlein, Mathias Seuret, Giorgos Sfikas, Elisa Barney Smith, Hamam Mokayed, Marcus Liwicki
arXiv 2023. [Paper]
29 Mar 2023
Visual Chain-of-Thought Diffusion Models
William Harvey, Frank Wood
arXiv 2023. [Paper]
28 Mar 2023
DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion
Sauradip Nag, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang
arXiv 2023. [Paper]
27 Mar 2023
The Stable Signature: Rooting Watermarks in Latent Diffusion Models
Pierre Fernandez, Guillaume Couairon, Hervé Jégou, Matthijs Douze, Teddy Furon
arXiv 2023. [Paper] [Project]
27 Mar 2023
Exploring Continual Learning of Diffusion Models
Michał Zając, Kamil Deja, Anna Kuzina, Jakub M. Tomczak, Tomasz Trzciński, Florian Shkurti, Piotr Miłoś
arXiv 2023. [Paper]
27 Mar 2023
Freestyle Layout-to-Image Synthesis
Han Xue, Zhiwu Huang, Qianru Sun, Li Song, Wenjun Zhang
CVPR 2023. [Paper]
25 Mar 2023
Controllable Inversion of Black-Box Face-Recognition Models via Diffusion
Manuel Kansy, Anton Raël, Graziana Mignone, Jacek Naruniec, Christopher Schroers, Markus Gross, Romann M. Weber
arXiv 2023. [Paper]
23 Mar 2023
End-to-End Diffusion Latent Optimization Improves Classifier Guidance
Bram Wallace, Akash Gokul, Stefano Ermon, Nikhil Naik
arXiv 2023. [Paper]
23 Mar 2023
DiffPattern: Layout Pattern Generation via Discrete Diffusion
Zixiao Wang, Yunheng Shen, Wenqian Zhao, Yang Bai, Guojin Chen, Farzan Farnia, Bei Yu
DAC 2023. [Paper]
23 Mar 2023
Diffuse-Denoise-Count: Accurate Crowd-Counting with Diffusion Models
Yasiru Ranasinghe, Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara, Vishal M. Patel
arXiv 2023. [Paper]
22 Mar 2023
LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models
Junyi Zhang, Jiaqi Guo, Shizhao Sun, Jian-Guang Lou, Dongmei Zhang
arXiv 2023. [Paper]
21 Mar 2023
Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic Models
Francesco Giuliari, Gianluca Scarpellini, Stuart James, Yiming Wang, Alessio Del Bue
arXiv 2023. [Paper] [Project]
20 Mar 2023
Leapfrog Diffusion Model for Stochastic Trajectory Prediction
Weibo Mao, Chenxin Xu, Qi Zhu, Siheng Chen, Yanfeng Wang
CVPR 2023. [Paper] [Github]
20 Mar 2023
Pluralistic Aging Diffusion Autoencoder
Peipei Li, Rui Wang, Huaibo Huang, Ran He, Zhaofeng He
arXiv 2023. [Paper]
20 Mar 2023
AnimeDiffusion: Anime Face Line Drawing Colorization via Diffusion Models
Yu Cao, Xiangqiao Meng, P.Y. Mok, Xueting Liu, Tong-Yee Lee, Ping Li
arxiv 2023. [Paper]
20 Mar 2023
Diffusion-based Document Layout Generation
Liu He, Yijuan Lu, John Corring, Dinei Florencio, Cha Zhang
arXiv 2023. [Paper]
19 Mar 2023
On the De-duplication of LAION-2B
Ryan Webster, Julien Rabin, Loic Simon, Frederic Jurie
arXiv 2023. [Paper]
17 Mar 2023
A Recipe for Watermarking Diffusion Models
Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Ngai-Man Cheung, Min Lin
arXiv 2023. [Paper] [Github]
17 Mar 2023
DIRE for Diffusion-Generated Image Detection
Zhendong Wang, Jianmin Bao, Wengang Zhou, Weilun Wang, Hezhen Hu, Hong Chen, Houqiang Li
arXiv 2023. [Paper] [Github]
16 Mar 2023
DS-Fusion: Artistic Typography via Discriminated and Stylized Diffusion
Maham Tanveer, Yizhi Wang, Ali Mahdavi-Amiri, Hao Zhang
arXiv 2023. [Paper] [Project]
16 Mar 2023
DiffusionAD: Denoising Diffusion for Anomaly Detection
Hui Zhang, Zheng Wang, Zuxuan Wu, Yu-Gang Jiang
arXiv 2023. [Paper]
15 Mar 2023
LayoutDM: Discrete Diffusion Model for Controllable Layout Generation
Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi
CVPR 2023. [Paper] [Project] [Github]
14 Mar 2023
Parallel Vertex Diffusion for Unified Visual Grounding
Zesen Cheng, Kehan Li, Peng Jin, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen
arXiv 2023. [Paper]
13 Mar 2023
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion
Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang, Kai Zhang, Deyu Meng, Radu Timofte, Luc Van Gool
arXiv 2023. [Paper]
13 Mar 2023
Detecting Images Generated by Diffusers
Davide Alessandro Coccomini, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
arXiv 2023. [Paper]
9 Mar 2023
Unifying Layout Generation with a Decoupled Diffusion Model
Mude Hui, Zhizheng Zhang, Xiaoyi Zhang, Wenxuan Xie, Yuwang Wang, Yan Lu
CVPR 2023. [Paper]
9 Mar 2023
DLT: Conditioned layout generation with Joint Discrete-Continuous Diffusion Layout Transformer
Elad Levi, Eli Brosh, Mykola Mykhailych, Meir Perez
arXiv 2023. [Paper]
7 Mar 2023
Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition
Cindy M. Nguyen, Eric R. Chan, Alexander W. Bergman, Gordon Wetzstein
arXiv 2023. [Paper] [Project]
7 Mar 2023
Word-As-Image for Semantic Typography
Shir Iluz, Yael Vinker, Amir Hertz, Daniel Berio, Daniel Cohen-Or, Ariel Shamir
SIGGRAPH 2023. [Paper] [Project]
3 Mar 2023
Makeup Extraction of 3D Representation via Illumination-Aware Image Decomposition
Xingchao Yang, Takafumi Taketomi, Yoshihiro Kanamori
Eurographics 2023. [Paper]
26 Feb 2023
Monocular Depth Estimation using Diffusion Models
Saurabh Saxena, Abhishek Kar, Mohammad Norouzi, David J. Fleet
arXiv 2023. [Paper] [Github]
28 Feb 2023
Spatial-temporal Transformer-guided Diffusion based Data Augmentation for Efficient Skeleton-based Action Recognition
Yifan Jiang, Han Chen, Hanseok Ko
arXiv 2023. [Paper]
26 Feb 2023
LDFA: Latent Diffusion Face Anonymization for Self-driving Applications
Marvin Klemp, Kevin Rösch, Royden Wagner, Jannik Quehl, Martin Lauer
arXiv 2023. [Paper]
17 Feb 2023
Road Redesign Technique Achieving Enhanced Road Safety by Inpainting with a Diffusion Model
Sumit Mishra, Medhavi Mishra, Taeyoung Kim, Dongsoo Har
arXiv 2023. [Paper]
15 Feb 2023
Effective Data Augmentation With Diffusion Models
Brandon Trabucco, Kyle Doherty, Max Gurinas, Ruslan Salakhutdinov
arXiv 2023. [Paper] [Project]
7 Feb 2023
Learning End-to-End Channel Coding with Diffusion Models
Muah Kim, Rick Fritschek, Rafael F. Schaefer
WSA/SCC 2023. [Paper]
3 Feb 2023
Extracting Training Data from Diffusion Models
Nicholas Carlini, Jamie Hayes, Milad Nasr, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, Eric Wallace
arXiv 2023. [Paper]
2 Feb 2023
Diffusion Models for High-Resolution Solar Forecasts
Yusuke Hatanaka, Yannik Glaser, Geoff Galgon, Giuseppe Torri, Peter Sadowski
arxiv 2023. [Paper]
1 Feb 2023
A Denoising Diffusion Model for Fluid Field Prediction
Gefan Yang, Stefan Sommer
arXiv 2023. [Paper]
27 Jan 2023
Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
Victor Boutin, Thomas Fel, Lakshya Singhal, Rishav Mukherji, Akash Nagaraj, Julien Colin, Thomas Serre
arXiv 2023. [Paper]
27 Jan 2023
PLay: Parametrically Conditioned Layout Generation using Latent Diffusion
Chin-Yi Cheng, Forrest Huang, Gang Li, Yang Li
arXiv 2023. [Paper]
27 Jan 2023
LEGO-Net: Learning Regular Rearrangements of Objects in Rooms
Qiuhong Anna Wei, Sijie Ding, Jeong Joon Park, Rahul Sajnani, Adrien Poulenard, Srinath Sridhar, Leonidas Guibas
CVPR 2023. [Paper] [Project]
23 Jan 2023
Dif-Fusion: Towards High Color Fidelity in Infrared and Visible Image Fusion with Diffusion Models
Jun Yue, Leyuan Fang, Shaobo Xia, Yue Deng, Jiayi Ma
arXiv 2023. [Paper]
19 Jan 2023
Neural Image Compression with a Diffusion-Based Decoder
Noor Fathima Goose, Jens Petersen, Auke Wiggers, Tianlin Xu, Guillaume Sautière
arXiv 2023. [Paper]
13 Jan 2023
Diffusion Models For Stronger Face Morphing Attacks
Zander Blasingame, Chen Liu
arXiv 2023. [Paper]
10 Jan 2023
AI Art in Architecture
Joern Ploennigs, Markus Berger
arXiv 2022. [Paper]
19 Dec 2022
Diffusing Surrogate Dreams of Video Scenes to Predict Video Memorability
Lorin Sweeney, Graham Healy, Alan F. Smeaton
MediaEval Workshop 2022. [Paper]
19 Dec 2022
Diff-Font: Diffusion Model for Robust One-Shot Font Generation
Haibin He, Xinyuan Chen, Chaoyue Wang, Juhua Liu, Bo Du, Dacheng Tao, Yu Qiao
arXiv 2022. [Paper]
12 Dec 2022
How to Backdoor Diffusion Models?
Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho
CVPR 2023. [Paper]
11 Dec 2022
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models
Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, Tom Goldstein
CVPR 2023. [Paper] [Github]
7 Dec 2022
ObjectStitch: Generative Object Compositing
Yizhi Song, Zhifei Zhang, Zhe Lin, Scott Cohen, Brian Price, Jianming Zhang, Soo Ye Kim, Daniel Aliaga
arXiv 2022. [Paper]
2 Dec 2022
Post-training Quantization on Diffusion Models
Yuzhang Shang, Zhihang Yuan, Bin Xie, Bingzhe Wu, Yan Yan
arXiv 2022. [Paper] [Github]
28 Nov 2022
Diffusion Probabilistic Model Made Slim
Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang
CVPR 2023. [Paper]
27 Nov 2022
BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction
German Barquero, Sergio Escalera, Cristina Palmero
arXiv 2022. [Paper] [Project] [Github]
25 Nov 2022
JigsawPlan: Room Layout Jigsaw Puzzle Extreme Structure from Motion using Diffusion Models
Sepidehsadat Hosseini, Mohammad Amin Shabani, Saghar Irandoust, Yasutaka Furukawa
arXiv 2022. [Paper] [Project]
24 Nov 2022
HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising
Mohammad Amin Shabani, Sepidehsadat Hosseini, Yasutaka Furukawa
arXiv 2022. [Paper] [Project]
23 Nov 2022
Can denoising diffusion probabilistic models generate realistic astrophysical fields?
Nayantara Mudur, Douglas P. Finkbeiner
NeurIPS Workshop 2022. [Paper]
22 Nov 2022
DiffDreamer: Consistent Single-view Perpetual View Generation with Conditional Diffusion Models
Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein
arXiv 2022. [Paper] [Project]
22 Nov 2022
CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming
Qihua Zhou, Ruibin Li, Song Guo, Yi Liu, Jingcai Guo, Zhenda Xu
arXiv 2022. [Paper]
15 Nov 2022
Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models
Zhihong Pan, Xin Zhou, Hao Tian
arXiv 2022. [Paper]
14 Nov 2022
Evaluating a Synthetic Image Dataset Generated with Stable Diffusion
Andreas Stöckl
arXiv 2022. [Paper]
3 Nov 2022
On the detection of synthetic images generated by diffusion models
Riccardo Corvi, Davide Cozzolino, Giada Zingarini, Giovanni Poggi, Koki Nagano, Luisa Verdoliva
arXiv 2022. [Paper] [Github]
1 Nov 2022
DOLPH: Diffusion Models for Phase Retrieval
Shirin Shoushtari, Jiaming Liu, Ulugbek S. Kamilov
arXiv 2022. [Paper]
1 Nov 2022
Towards the Detection of Diffusion Model Deepfakes
Jonas Ricker, Simon Damm, Thorsten Holz, Asja Fischer
arXiv 2022. [Paper]
26 Oct 2022
Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach
Dong Chen, Xinda Qi, Yu Zheng, Yuzhen Lu, Zhaojian Li
arXiv 2022. [Paper] [Github]
18 Oct 2022
DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Diffusion Models
Zeyang Sha, Zheng Li, Ning Yu, Yang Zhang
arXiv 2022. [Paper]
13 Oct 2022
Markup-to-Image Diffusion Models with Scheduled Sampling
Yuntian Deng, Noriyuki Kojima, Alexander M. Rush
ICLR 2023. [Paper]
11 Oct 2022
What the DAAM: Interpreting Stable Diffusion Using Cross Attention
Raphael Tang, Akshat Pandey, Zhiying Jiang, Gefei Yang, Karun Kumar, Jimmy Lin, Ferhan Ture
arXiv 2022. [Paper] [Github]
10 Oct 2022
CLIP-Diffusion-LM: Apply Diffusion Model on Image Captioning
Shitong Xu
arXiv 2022. [Paper] [Github]
10 Oct 2022
Diffusion Models Beat GANs on Topology Optimization
François Mazé, Faez Ahmed
AAAI 2022. [Paper] [Project] [Github]
20 Aug 2022
Vector Quantized Diffusion Model with CodeUnet for Text-to-Sign Pose Sequences Generation
Pan Xie, Qipeng Zhang, Zexian Li, Hao Tang, Yao Du, Xiaohui Hu
arXiv 2022. [Paper]
19 Aug 2022
Deep Diffusion Models for Seismic Processing
Ricard Durall, Ammar Ghanim, Mario Fernandez, Norman Ettrich, Janis Keuper
arXiv 2022. [Paper]
21 Jul 2022
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion
Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen Lu
CVPR 2022. [Paper] [Github]
25 Mar 2022
Progressive distillation diffusion for raw music generation
Svetlana Pavlova
arXiv 2023. [Paper]
20 Jul 2023
UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data
Heeseung Kim, Sungwon Kim, Jiheum Yeom, Sungroh Yoon
arXiv 2023. [Paper]
28 Jun 2023
Diff-TTSG: Denoising probabilistic integrated speech and gesture synthesis
Shivam Mehta, Siyang Wang, Simon Alexanderson, Jonas Beskow, Éva Székely, Gustav Eje Henter
arXiv 2023. [Paper]
15 Jun 2023
HiddenSinger: High-Quality Singing Voice Synthesis via Neural Audio Codec and Latent Diffusion Models
Ji-Sang Hwang, Sang-Hoon Lee, Seong-Whan Lee
arXiv 2023. [Paper]
12 Jun 2023
Boosting Fast and High-Quality Speech Synthesis with Linear Diffusion
Haogeng Liu, Tao Wang, Jie Cao, Ran He, Jianhua Tao
arXiv 2023. [Paper]
9 Jun 2023
EmoMix: Emotion Mixing via Diffusion Models for Emotional Speech Synthesis
Haobin Tang, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao
InterSpeech 2023. [Paper]
1 Jun 2023
Efficient Neural Music Generation
Max W. Y. Lam, Qiao Tian, Tang Li, Zongyu Yin, Siyuan Feng, Ming Tu, Yuliang Ji, Rui Xia, Mingbo Ma, Xuchen Song, Jitong Chen, Yuping Wang, Yuxuan Wang
arXiv 2023. [Paper] [Github]
25 May 2023
Generating symbolic music using diffusion models
Lilac Atassi
arXiv 2023. [Paper]
15 Mar 2023
DiffuseRoll: Multi-track multi-category music generation based on diffusion model
Hongfei Wang
arXiv 2023. [Paper]
14 Mar 2023
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation
Giorgio Mariani, Irene Tallini, Emilian Postolache, Michele Mancusi, Luca Cosmo, Emanuele Rodolà
arXiv 2023. [Paper] [Project]
4 Feb 2023
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
Ludan Ruan, Yiyang Ma, Huan Yang, Huiguo He, Bei Liu, Jianlong Fu, Nicholas Jing Yuan, Qin Jin, Baining Guo
CVPR 2023. [Paper] [Github]
19 Dec 2022
SDMuse: Stochastic Differential Music Editing and Generation via Hybrid Representation
Chen Zhang, Yi Ren, Kejun Zhang, Shuicheng Yan
arXiv 2022. [Paper] [Project]
1 Nov 2022
Full-band General Audio Synthesis with Score-based Diffusion
Santiago Pascual, Gautam Bhattacharya, Chunghsin Yeh, Jordi Pons, Joan Serrà
arXiv 2022. [Paper]
26 Oct 2022
Hierarchical Diffusion Models for Singing Voice Neural Vocoder
Naoya Takahashi, Mayank Kumar, Singh, Yuki Mitsufuji
arXiv 2022. [Paper]
14 Oct 2022
Mandarin Singing Voice Synthesis with Denoising Diffusion Probabilistic Wasserstein GAN
Yin-Ping Cho, Yu Tsao, Hsin-Min Wang, Yi-Wen Liu
arXiv 2022. [Paper] [Project]
21 Sep 2022
DDSP-based Singing Vocoders: A New Subtractive-based Synthesizer and A Comprehensive Evaluation
Da-Yi Wu, Wen-Yi Hsiao, Fu-Rong Yang, Oscar Friedman, Warren Jackson, Scott Bruzenak, Yi-Wen Liu, Yi-Hsuan Yang
ISMIR 2022. [Paper] [Github]
9 Aug 2022
ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech
Rongjie Huang, Zhou Zhao, Huadai Liu, Jinglin Liu, Chenye Cui, Yi Ren
ACM Multimedia 2022. [Paper] [Project]
13 Jul 2022
CARD: Classification and Regression Diffusion Models
Xizewen Han, Huangjie Zheng, Mingyuan Zhou
NeurIPS 2022. [Paper]
15 Jun 2022
Adversarial Audio Synthesis with Complex-valued Polynomial Networks
Yongtao Wu, Grigorios G Chrysos, Volkan Cevher
ICML workshop 2022. [Paper]
14 Jun 2022
Multi-instrument Music Synthesis with Spectrogram Diffusion
Curtis Hawthorne, Ian Simon, Adam Roberts, Neil Zeghidour, Josh Gardner, Ethan Manilow, Jesse Engel
ISMIR 2022. [Paper]
11 Jun 2022
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis
Yichong Leng, Zehua Chen, Junliang Guo, Haohe Liu, Jiawei Chen, Xu Tan, Danilo Mandic, Lei He, Xiang-Yang Li, Tao Qin, Sheng Zhao, Tie-Yan Liu
NeurIPS 2022. [Paper] [Github]
30 May 2022
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis
Rongjie Huang, Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu, Yi Ren, Zhou Zhao
IJCAI 2022. [Paper] [Project] [Github]
21 Apr 2022
SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping
Yuma Koizumi, Heiga Zen, Kohei Yatabe, Nanxin Chen, Michiel Bacchiani
Interspeech 2022. [Paper]
31 Mar 2022
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis
Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu
ICLR 2022. [Paper] [Github]
25 Mar 2022
ItôWave: Itô Stochastic Differential Equation Is All You Need For Wave Generation
Shoule Wu, Ziqiang Shi
CoRR 2022. [Paper] [Project]
29 Jan 2022
Itô-Taylor Sampling Scheme for Denoising Diffusion Probabilistic Models using Ideal Derivatives
Hideyuki Tachibana, Mocho Go, Muneyoshi Inahara, Yotaro Katayama, Yotaro Watanabe
arXiv 2021. [Paper]
26 Dec 2021
Denoising Diffusion Gamma Models
Eliya Nachmani, Robin San Roman, Lior Wolf
arXiv 2021. [Paper]
10 Oct 2021
Variational Diffusion Models
Diederik P. Kingma, Tim Salimans, Ben Poole, Jonathan Ho
NeurIPS 2021. [Paper] [Github]
1 Jul 2021
CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis
Simon Rouard, Gaëtan Hadjeres
ISMIR 2021. [Paper] [Project]
14 Jun 2021
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior
Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu
ICLR 2022. [Paper] [Project]
11 Jun 2021
ItôTTS and ItôWave: Linear Stochastic Differential Equation Is All You Need For Audio Generation
Shoule Wu, Ziqiang Shi
arXiv 2022. [Paper] [Project]
17 May 2021
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
Jinglin Liu, Chengxi Li, Yi Ren, Feiyang Chen, Peng Liu, Zhou Zhao
AAAI 2022. [Paper] [Project] [Github]
6 May 2021
Symbolic Music Generation with Diffusion Models
Gautam Mittal, Jesse Engel, Curtis Hawthorne, Ian Simon
ISMIR 2021. [Paper] [Github]
30 Mar 2021
DiffWave: A Versatile Diffusion Model for Audio Synthesis
Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro
ICLR 2021. [Paper] [Github]
21 Sep 2020
WaveGrad: Estimating Gradients for Waveform Generation
Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, William Chan
ICLR 2021. [Paper] [Project] [Github]
2 Sep 2020
DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion
Ha-Yeong Choi, Sang-Hoon Lee, Seong-Whan Lee
arXiv 2023. [Paper] [Project]
25 May 2023
Duplex Diffusion Models Improve Speech-to-Speech Translation
Xianchao Wu
ACL 2023. [Paper]
22 May 2023
DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion
Songxiang Liu, Yuewen Cao, Dan Su, Helen Meng
IEEE 2021. [Paper] [Github]
28 May 2021
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme
Vadim Popov, Ivan Vovk, Vladimir Gogoryan, Tasnima Sadekova, Mikhail Kudinov, Jiansheng Wei
ICLR 2022. [Paper] [Project]
28 Sep 2021
Noise-aware Speech Enhancement using Diffusion Probabilistic Model
Yuchen Hu, Chen Chen, Ruizhe Li, Qiushi Zhu, Eng Siong Chng
arXiv 2023. [Paper]
16 Jul 2023
Self-supervised learning with diffusion-based multichannel speech enhancement for speaker verification under noisy conditions
Sandipana Dowerah, Ajinkya Kulkarni, Romain Serizel, Denis Jouvet
arXiv 2023. [Paper]
5 Jul 2023
Diffusion Posterior Sampling for Informed Single-Channel Dereverberation
Jean-Marie Lemercier, Simon Welker, Timo Gerkmann
arXiv 2023. [Paper]
21 Jun 2023
Variance-Preserving-Based Interpolation Diffusion Models for Speech Enhancement
Zilu Guo, Jun Du, Chin-Hui Lee, Yu Gao, Wenbin Zhang
arXiv 2023. [Paper]
14 Jun 2023
UnDiff: Unsupervised Voice Restoration with Unconditional Diffusion Model
Anastasiia Iashchenko, Pavel Andreev, Ivan Shchekotov, Nicholas Babaev, Dmitry Vetrov
Interspeech 2023. [Paper]
1 Jun 2023
SE-Bridge: Speech Enhancement with Consistent Brownian Bridge
Zhibin Qiu, Mengfan Fu, Fuchun Sun, Gulila Altenbek, Hao Huang
arXiv 2023. [Paper]
23 May 2023
Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders
Hao Shi, Kazuki Shimada, Masato Hirano, Takashi Shibuya, Yuichiro Koyama, Zhi Zhong, Shusuke Takahashi, Tatsuya Kawahara, Yuki Mitsufuji
arXiv 2023. [Paper]
18 May 2023
Speech Signal Improvement Using Causal Generative Diffusion Models
Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Tal Peer, Timo Gerkmann
ICASSP 2023. [Paper]
15 Mar 2023
Reducing the Prior Mismatch of Stochastic Differential Equations for Diffusion-based Speech Enhancement
Bunlong Lay, Simon Welker, Julius Richter, Timo Gerkmann
arXiv 2023. [Paper]
28 Feb 2023
Metric-oriented Speech Enhancement using Diffusion Probabilistic Model
Chen Chen, Yuchen Hu, Weiwei Weng, Eng Siong Chng
arXiv 2023. [Paper]
23 Feb 2023
StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation
Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann
ICASSP 2023. [Paper]
22 Dec 2022
Unsupervised vocal dereverberation with diffusion-based generative models
Koichi Saito, Naoki Murata, Toshimitsu Uesaka, Chieh-Hsin Lai, Yuhta Takida, Takao Fukui, Yuki Mitsufuji
ICASSP 2023. [Paper]
8 Nov 2022
DiffPhase: Generative Diffusion-based STFT Phase Retrieval
Tal Peer, Simon Welker, Timo Gerkmann
ICASSP 2023. [Paper]
8 Nov 2022
Cold Diffusion for Speech Enhancement
Hao Yen, François G. Germain, Gordon Wichern, Jonathan Le Roux
ICASSP 2023. [Paper]
4 Nov 2022
Analysing Diffusion-based Generative Approaches versus Discriminative Approaches for Speech Restoration
Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann
Interspeech 2022. [Paper] [Project] [Github]
4 Nov 2022
SRTNet: Time Domain Speech Enhancement Via Stochastic Refinement
Zhibin Qiu, Mengfan Fu, Yinfeng Yu, LiLi Yin, Fuchun Sun, Hao Huang
ICASSP 2022. [Paper] [Github]
30 Oct 2022
A Versatile Diffusion-based Generative Refiner for Speech Enhancement
Ryosuke Sawata, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji
ICASSP 2023. [Paper]
27 Oct 2022
Conditioning and Sampling in Variational Diffusion Models for Speech Super-resolution
Chin-Yun Yu, Sung-Lin Yeh, György Fazekas, Hao Tang
ICASSP 2023. [Paper] [Project] [Github]
27 Oct 2022
Solving Audio Inverse Problems with a Diffusion Model
Eloi Moliner, Jaakko Lehtinen, Vesa Välimäki
ICASSP 2023. [Paper]
27 Oct 2022
Speech Enhancement and Dereverberation with Diffusion-based Generative Models
Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Timo Gerkmann
arXiv 2022. [Paper] [Project] [Github]
11 Aug 2022
NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates
Seungu Han, Junhyeok Lee
Interspeech 2022. [Paper] [Project]
17 Jun 2022
Universal Speech Enhancement with Score-based Diffusion
Joan Serrà, Santiago Pascual, Jordi Pons, R. Oguz Araz, Davide Scaini
arXiv 2022. [Paper]
7 Jun 2022
Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain
Simon Welker, Julius Richter, Timo Gerkmann
InterSpeech 2022. [Paper] [Github]
31 Mar 2022
Conditional Diffusion Probabilistic Model for Speech Enhancement
Yen-Ju Lu, Zhong-Qiu Wang, Shinji Watanabe, Alexander Richard, Cheng Yu, Yu Tsao
IEEE 2022. [Paper] [Github]
10 Feb 2022
A Study on Speech Enhancement Based on Diffusion Probabilistic Model
Yen-Ju Lu, Yu Tsao, Shinji Watanabe
APSIPA 2021. [Paper]
25 Jul 2021
Restoring degraded speech via a modified diffusion model
Jianwei Zhang, Suren Jayasuriya, Visar Berisha
Interspeech 2021. [Paper]
22 Apr 2021
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling
Junhyeok Lee, Seungu Han
Interspeech 2021. [Paper] [Project] [Github]
6 Apr 2021
Diffusion-based Signal Refiner for Speech Separation
Masato Hirano, Kazuki Shimada, Yuichiro Koyama, Shusuke Takahashi, Yuki Mitsufuji
arXiv 2023. [Paper]
10 May 2023
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation
Giorgio Mariani, Irene Tallini, Emilian Postolache, Michele Mancusi, Luca Cosmo, Emanuele Rodolà
arXiv 2023. [Paper] [Project]
4 Feb 2023
Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation
Shahar Lutati, Eliya Nachmani, Lior Wolf
arXiv 2023. [Paper]
25 Jan 2023
Diffusion-based Generative Speech Source Separation
Robin Scheibler, Youna Ji, Soo-Whan Chung, Jaeuk Byun, Soyeon Choe, Min-Seok Choi
ICASSP 2023. [Paper]
31 Oct 2022
Instrument Separation of Symbolic Music by Explicitly Guided Diffusion Model
Sangjun Han, Hyeongrae Ihm, DaeHan Ahn, Woohyung Lim
NeurIPS Workshop 2022. [Paper]
5 Sep 2022
Text-Driven Foley Sound Generation With Latent Diffusion Model
Yi Yuan, Haohe Liu, Xubo Liu, Xiyuan Kang, Peipei Wu, Mark D. Plumbley, Wenwu Wang
arXiv 2023. [Paper]
17 Jun 2023
CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models
Hao-Wen Dong, Xiaoyu Liu, Jordi Pons, Gautam Bhattacharya, Santiago Pascual, Joan Serrà, Taylor Berg-Kirkpatrick, Julian McAuley
arXiv 2023. [Paper]
16 Jun 2023
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
Yinghao Aaron Li, Cong Han, Vinay S. Raghavan, Gavin Mischler, Nima Mesgarani
arXiv 2023. [Paper]
13 Jun 2023
UniCATS: A Unified Context-Aware Text-to-Speech Framework with Contextual VQ-Diffusion and Vocoding
Chenpeng Du, Yiwei Guo, Feiyu Shen, Zhijun Liu, Zheng Liang, Xie Chen, Shuai Wang, Hui Zhang, Kai Yu
arXiv 2023. [Paper]
13 Jun 2023
Interpretable Style Transfer for Text-to-Speech with ControlVAE and Diffusion Bridge
Wenhao Guan, Tao Li, Yishuang Li, Hukai Huang, Qingyang Hong, Lin Li
Interspeech 2023. [Paper]
7 Jun 2023
Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias
Ziyue Jiang, Yi Ren, Zhenhui Ye, Jinglin Liu, Chen Zhang, Qian Yang, Shengpeng Ji, Rongjie Huang, Chunfeng Wang, Xiang Yin, Zejun Ma, Zhou Zhao
arXiv 2023. [Paper] [Github]
6 Jun 2023
Make-An-Audio 2: Temporal-Enhanced Text-to-Audio Generation
Jiawei Huang, Yi Ren, Rongjie Huang, Dongchao Yang, Zhenhui Ye, Chen Zhang, Jinglin Liu, Xiang Yin, Zejun Ma, Zhou Zhao
arXiv 2023. [Paper]
29 May 2023
ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models
Minki Kang, Wooseok Han, Sung Ju Hwang, Eunho Yang
arXiv 2023. [Paper]
23 May 2023
U-DiT TTS: U-Diffusion Vision Transformer for Text-to-Speech
Xin Jing, Yi Chang, Zijiang Yang, Jiangjian Xie, Andreas Triantafyllopoulos, Bjoern W. Schuller
arXiv 2023. [Paper] [Project]
22 May 2023
DiffAVA: Personalized Text-to-Audio Generation with Visual Alignment
Shentong Mo, Jing Shi, Yapeng Tian
arXiv 2023. [Paper]
22 May 2023
ViT-TTS: Visual Text-to-Speech with Scalable Diffusion Transformer
Huadai Liu, Rongjie Huang, Xuan Lin, Wenqiang Xu, Maozong Zheng, Hong Chen, Jinzheng He, Zhou Zhao
arXiv 2023. [Paper] [Project]
22 May 2023
RMSSinger: Realistic-Music-Score based Singing Voice Synthesis
Jinzheng He, Jinglin Liu, Zhenhui Ye, Rongjie Huang, Chenye Cui, Huadai Liu, Zhou Zhao
ACL 2023. [Paper] [Project]
18 May 2023
CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model
Zhen Ye, Wei Xue, Xu Tan, Jie Chen, Qifeng Liu, Yike Guo
arXiv 2023. [Paper] [Github]
11 May 2023
Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model
Deepanway Ghosal, Navonil Majumder, Ambuj Mehrish, Soujanya Poria
arXiv 2023. [Paper] [Project] [Github]
24 Apr 2023
DiffVoice: Text-to-Speech with Latent Diffusion
Zhijun Liu, Yiwei Guo, Kai Yu
ICASSP 2023. [Paper]
23 Apr 2023
An investigation into the adaptability of a diffusion-based TTS model
Haolin Chen, Philip N. Garner
arXiv 2023. [Paper]
3 Mar 2023
Imaginary Voice: Face-styled Diffusion Model for Text-to-Speech
Jiyoung Lee, Joon Son Chung, Soo-Whan Chung
ICASSP 2023. [Paper]
27 Feb 2023
ERNIE-Music: Text-to-Waveform Music Generation with Diffusion Models
Pengfei Zhu, Chao Pang, Shuohuan Wang, Yekun Chai, Yu Sun, Hao Tian, Hua Wu
arXiv 2023. [Paper]
9 Feb 2023
Noise2Music: Text-conditioned Music Generation with Diffusion Models
Qingqing Huang, Daniel S. Park, Tao Wang, Timo I. Denk, Andy Ly, Nanxin Chen, Zhengdong Zhang, Zhishuai Zhang, Jiahui Yu, Christian Frank, Jesse Engel, Quoc V. Le, William Chan, Wei Han
arXiv 2023. [Paper] [Project]
8 Feb 2023
Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion
Flavio Schneider, Zhijing Jin, Bernhard Schölkopf
arXiv 2023. [Paper] [Project] [Github]
27 Jan 2023
InstructTTS: Modelling Expressive TTS in Discrete Latent Space with Natural Language Style Prompt
Dongchao Yang, Songxiang Liu, Rongjie Huang, Guangzhi Lei, Chao Weng, Helen Meng, Dong Yu
arXiv 2023. [Paper] [Project]
31 Jan 2023
Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models
Rongjie Huang, Jiawei Huang, Dongchao Yang, Yi Ren, Luping Liu, Mingze Li, Zhenhui Ye, Jinglin Liu, Xiang Yin, Zhou Zhao
arXiv 2023. [Paper] [Project]
30 Jan 2023
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models
Haohe Liu, Zehua Chen, Yi Yuan, Xinhao Mei, Xubo Liu, Danilo Mandic, Wenwu Wang, Mark D. Plumbley
arXiv 2023. [Paper] [Project] [Github]
29 Jan 2023
ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech
Zehua Chen, Yihan Wu, Yichong Leng, Jiawei Chen, Haohe Liu, Xu Tan, Yang Cui, Ke Wang, Lei He, Sheng Zhao, Jiang Bian, Danilo Mandic
arXiv 2022. [Paper] [Project]
30 Dec 2022
Text-to-speech synthesis based on latent variable conversion using diffusion probabilistic model and variational autoencoder
Yusuke Yasuda, Tomoki Toda
ICASSP 2023. [Paper]
16 Dec 2022
Any-speaker Adaptive Text-To-Speech Synthesis with Diffusion Models
Minki Kang, Dongchan Min, Sung Ju Hwang
ICASSP 2023. [Paper] [Project]
17 Nov 2022
EmoDiff: Intensity Controllable Emotional Text-to-Speech with Soft-Label Guidance
Yiwei Guo, Chenpeng Du, Xie Chen, Kai Yu
ICASSP 2023. [Paper] [Project]
17 Nov 2022
NoreSpeech: Knowledge Distillation based Conditional Diffusion Model for Noise-robust Expressive TTS
Dongchao Yang, Songxiang Liu, Jianwei Yu, Helin Wang, Chao Weng, Yuexian Zou
ICASSP 2023. [Paper]
4 Nov 2022
WaveFit: An Iterative and Non-autoregressive Neural Vocoder based on Fixed-Point Iteration
Yuma Koizumi, Kohei Yatabe, Heiga Zen, Michiel Bacchiani
IEEE SLT 2023. [Paper] [Project]
3 Oct 2022
Diffsound: Discrete Diffusion Model for Text-to-sound Generation
Dongchao Yang, Jianwei Yu, Helin Wang, Wen Wang, Chao Weng, Yuexian Zou, Dong Yu
TASLP 2022. [Paper] [Project]
20 Jul 2022
Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models
Alon Levkovitch, Eliya Nachmani, Lior Wolf
Interspeech 2022. [Paper] [Project]
5 Jun 2022
Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data
Sungwon Kim, Heeseung Kim, Sungroh Yoon
arXiv 2022. [Paper] [Project]
30 May 2022
InferGrad: Improving Diffusion Models for Vocoder by Considering Inference in Training
Zehua Chen, Xu Tan, Ke Wang, Shifeng Pan, Danilo Mandic, Lei He, Sheng Zhao
ICASSP 2022. [Paper]
8 Feb 2022
DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs
Songxiang Liu, Dan Su, Dong Yu
arXiv 2022. [Paper] [Github]
28 Jan 2022
Guided-TTS:Text-to-Speech with Untranscribed Speech
Heeseung Kim, Sungwon Kim, Sungroh Yoon
ICML 2021. [Paper]
30 Nov 2021
EdiTTS: Score-based Editing for Controllable Text-to-Speech
Jaesung Tae, Hyeongju Kim, Taesu Kim
Interspeech 2022. [Paper] [Project] [Github]
6 Oct 2021
WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis
Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, Najim Dehak, William Chan
Interspeech 2021. [Paper] [Project] [Github] [Github2]
17 Jun 2021
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
Vadim Popov, Ivan Vovk, Vladimir Gogoryan, Tasnima Sadekova, Mikhail Kudinov
ICML 2021. [Paper] [Project] [Github]
13 May 2021
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
Jinglin Liu, Chengxi Li, Yi Ren, Feiyang Chen, Peng Liu, Zhou Zhao
AAAI 2022. [Paper] [Project] [Github]
6 May 2021
Diff-TTS: A Denoising Diffusion Model for Text-to-Speech
Myeonghun Jeong, Hyeongju Kim, Sung Jun Cheon, Byoung Jin Choi, Nam Soo Kim
Interspeech 2021. [Paper]
3 Apr 2021
Zero-Shot Blind Audio Bandwidth Extension
Eloi Moliner, Filip Elvander, Vesa Välimäki
arXiv 2023. [Paper]
2 Jun 2023
Diverse and Expressive Speech Prosody Prediction with Denoising Diffusion Probabilistic Model
Xiang Li, Songxiang Liu, Max W. Y. Lam, Zhiyong Wu, Chao Weng, Helen Meng
Interspeech 2023. [Paper]
26 May 2023
Diffusion-Based Audio Inpainting
Eloi Moliner, Vesa Välimäki
arXiv 2023. [Paper]
24 May 2023
FluentSpeech: Stutter-Oriented Automatic Speech Editing with Context-Aware Diffusion Models
Ziyue Jiang, Qian Yang, Jialong Zuo, Zhenhui Ye, Rongjie Huang, Yi Ren, Zhou Zhao
arXiv 2023. [Paper] [Github]
23 May 2023
A Preliminary Study on Augmenting Speech Emotion Recognition using a Diffusion Model
Ibrahim Malik, Siddique Latif, Raja Jurdak, Björn Schuller
arXiv 2023. [Paper]
19 May 2023
AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models
Yuancheng Wang, Zeqian Ju, Xu Tan, Lei He, Zhizheng Wu, Jiang Bian, Sheng Zhao
arXiv 2023. [Paper] [Project]
3 Apr 2023
Data Augmentation for Environmental Sound Classification Using Diffusion Probabilistic Model with Top-k Selection Discriminator
Yunhao Chen, Yunjie Zhu, Zihui Yan, Jianlu Shen, Zhen Ren, Yifan Huang
arXiv 2023. [Paper] [Github]
27 Mar 2023
Enhancing Unsupervised Speech Recognition with Diffusion GANs
Xianchao Wu
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