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

[PR 2025] GraphMLP: A Graph MLP-Like Architecture for 3D Human Pose Estimation

[CVPR 2024 🔥] Official implementation of the paper "⏳ Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation"

[CVPR 2022] MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

Monocular 3D HPE Toolbox: VideoPose3D (CVPR 2019), PoseFormer (ICCV '20), etc.

[TMM 2023] Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose Estimation

3D pose estimation from video : LCRNet2D+VideoPose3D

Efficient 3D human pose estimation in video using 2D keypoint trajectories