The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

Official pytorch Code for CVPR2019 paper "Fast Human Pose Estimation" https://arxiv.org/abs/1811.05419

This is an official PyTorch implementation of our IJCAI-ECAI 2022 paper "Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation"

This is an official repository of our paper "HRNeXt: High-Resolution Context Network for Crowd Pose Estimation" (published in IEEE Transactions on Multimedia)