[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation

SNE-RoadSeg for Freespace Detection in PyTorch, ECCV 2020

[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

[BMVC 2022] IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty

GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models

Tools accompanying the 3D60 spherical panoramas dataset

A MATLAB Implementation of the Basic Photometric Stereo Algorithm

Official code for FOUND: Foot Optimisation with Uncertain Normals for Surface Deformation using Synthetic Data

Pixel Attentional Gating for Parsimonious Per-Pixel Labeling

Code for "Face Normals `in-the-wild' using Fully Convolutional Networks" (CVPR 17)

Differentiable Point-based Inverse Rendering

Term project. A python implementation of the Basic Photometric Stereo Algorithm

Explore object recognition, segmentation, and how to process depth data from camera sensors to help a robot better understand and navigate its world.

Code accompanying the paper "360 Surface Regression with a Hyper-Sphere Loss", 3DV 2019

Normal Inference Module in PyTorch, IROS 2020

A multimodal UAV assistant dataset.

Estimate surface normals from a single image; 3-stack-hourglass Architecture using Tensorflow; Reduce the Mean Angle Error down to 0.4397164234

Surface Normals and Curvature Estimation for Noisy Point Cloud Data