Pinned Repositories
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
deephar
Deep human action recognition and pose estimation
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Monocular-3D-Human-Pose
Generalizaing Monocular 3D Human Pose Estimation in the Wild
Non-local_pytorch
Implementation of Non-local Block.
nvvl
A library that uses hardware acceleration to load sequences of video frames to facilitate machine learning training
panorama-stitching
PRNet
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
pytorch-pose-hg-3d
PyTorch implementation for 3D human pose estimation
torch-mesh-isect
dihuangcode's Repositories
dihuangcode/torch-mesh-isect
dihuangcode/3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
dihuangcode/deephar
Deep human action recognition and pose estimation
dihuangcode/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
dihuangcode/Monocular-3D-Human-Pose
Generalizaing Monocular 3D Human Pose Estimation in the Wild
dihuangcode/Non-local_pytorch
Implementation of Non-local Block.
dihuangcode/nvvl
A library that uses hardware acceleration to load sequences of video frames to facilitate machine learning training
dihuangcode/panorama-stitching
dihuangcode/PRNet
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
dihuangcode/pytorch-pose-hg-3d
PyTorch implementation for 3D human pose estimation
dihuangcode/smplify-x
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
dihuangcode/st-gcn
Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch
dihuangcode/Tutorial
dihuangcode/vid2vid
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
dihuangcode/VideoPose3D
Efficient 3D human pose estimation in video using 2D keypoint trajectories