GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
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Updated
Dec 23, 2019 - Python
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
A new large-scale noise-controlled face recognition dataset.
Superpixel Sampling Networks (ECCV2018)
Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper
TensorFlow implementation of "Simple Baselines for Human Pose Estimation and Tracking", ECCV 2018
This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).
DeepTAM: Deep Tracking and Mapping https://lmb.informatik.uni-freiburg.de/people/zhouh/deeptam/
An official TensorFlow implementation of "Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence" (ECCV 2018) by Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, and Joseph J. Lim
TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
Implementation of ECCV'18 paper - GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints
This is the implementation for Deep High Dynamic Range Imaging with Large Foreground Motions (ECCV'18)
Audio-Visual Event Localization in Unconstrained Videos, ECCV 2018
Pytorch Implementation of "Object level Visual Reasoning in Videos", F. Baradel, N. Neverova, C. Wolf, J. Mille, G. Mori , ECCV 2018
Weakly- and Semi-Supervised Panoptic Segmentation (ECCV18)
Repository for different network models related to flow/disparity (ECCV 18)
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation (ECCV 2018)
Improving Generalization via Scalable Neighborhood Component Analysis
A PyTorch reimplementation of FCSN in paper "Video Summarization Using Fully Convolutional Sequence Networks"
SaGAN PyTorch "Generative Adversarial Network with Spatial Attention for Face Attribute Editing"
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