Stars
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
👨 Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
CCP dataset from "Clothing Co-Parsing by Joint Image Segmentation and Labeling " (CVPR 2014)
Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)
Official Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018
Multiscale Combinatorial Grouping - Object Proposals and Segmentation
Matlab geometry toolbox for 2D/3D geometric computing
Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation
Matlab implementation of non-rigid iterative closest point
Theano-based implementation of Deep Semi-NMF.
Code and mode for CVPR 2017 paper "L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space"
The py version of toflow → https://github.com/anchen1011/toflow
Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016
Project Page of Combining 3D Morphable Models: A Large scale Face-and-Head Model - [CVPR 2019]
GRAINS: Generative Recursive Autoencoders for INdoor Scenes
LETO is a new hybrid Lagrangian-Eulerian method for topology optimization. It transfers density information from movable Lagrangian carriers to a fixed set of Eulerian quadratures and solves force …
MATLAB implementation of the algorithm in the CVPR 2019 paper "Fast Single Image Reflection Suppression via Convex Optimization"
Dense classification of the depth images to recognize the body parts.
Deep Multitask Architecture for Integrated 2D and 3D Human Sensing (CVPR 2017)
Code for "Variational Autoencoders for Deforming 3D Mesh Models", CVPR 2018
code for Variational Uncalibrated Photometric Stereo under General Lighting (Haefner, B., Ye, Z., Gao, M., Wu, T., Quéau, Y. and Cremers, D.), In International Conference on Computer Vision (ICCV),…
Matlab code for reading/writing/visualizing BINVOX files
Testing how networks perform when data are collected using different cameras