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Official code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021
| Date | Stars |
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| 2026-07-25 | 1614 |
| 2026-07-28 | 1614 |
| 2026-07-30 | 1614 |
| 2026-08-06 | 1614 |
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# HybrIK: Hybrid Analytical-Neural Inverse Kinematics for Body Mesh Recovery
<div align="center">
<img src="assets/hybrik_dance1.gif" height="160"> <img src="assets/hybrik_dance2.gif" height="160"> <img src="assets/hybrik_dance3.gif" height="160">
</br>
<img src="assets/hybrikx_dance1.gif" height="160"> <img src="assets/hybrikx_basketball.gif" height="160">
</div>
<div align="center">
<a href="https://pytorch.org/get-started/locally/"><img alt="PyTorch" src="https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch&logoColor=white"></a>
<a href='https://colab.research.google.com/drive/1n41l7I2NxWseuruVQEU8he2XqzSXhu2f?usp=sharing' style='padding-left: 0.5rem;'><img src='https://colab.research.google.com/assets/colab-badge.svg' alt='Google Colab'></a>
<a href='https://paperswithcode.com/sota/3d-human-pose-estimation-on-agora?p=hybrik-x-hybrid-analytical-neural-inverse' style='padding-left: 0.5rem;'><img src='https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/hybrik-x-hybrid-analytical-neural-inverse/3d-human-pose-estimation-on-agora'>
</a>
</br>
<a href="https://arxiv.org/abs/2011.14672">
<img src='https://img.shields.io/badge/Paper-HybrIK-green?style=for-the-badge&logo=adobeacrobatreader&logoWidth=20&logoColor=white&labelColor=66cc00&color=94DD15' alt='Paper PDF'>
</a>
<a href="https://arxiv.org/abs/2304.05690">
<img src='https://img.shields.io/badge/Paper-HybrIK--X-green?style=for-the-badge&logo=adobeacrobatreader&logoWidth=20&logoColor=white&labelColor=3CB371&color=40E0D0' alt='Paper PDF'>
</a>
<a href="https://youtu.be/xbdNFw2eZ4o">
<img alt="youtube views" src="https://img.shields.io/badge/Demo-HybrIK-red?logo=youtube&logoColor=white&labelColor=D35400&style=for-the-badge"/>
</a>
<a href="https://youtu.be/VzCXKdQSZ7c">
<img alt="youtube views" src="https://img.shields.io/badge/Demo-HybrIK--X-red?logo=youtube&logoColor=white&labelColor=D35400&style=for-the-badge"/>
</a>
</br>
</div>
This repo contains the code of our papers:
**HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation**, In CVPR 2021
**HybrIK-X: Hybrid Analytical-Neural Inverse Kinematics for Whole-body Mesh Recovery**, TPAMI 2025
<!--  -->
<!--
<div align="center">
<img src="assets/decompose.gif", width="600" alt><br>
Twist-and-Swing Decomposition
</div> -->
## News :triangular_flag_on_post:
[2024/12/31] HybrIK-X is accepted by TPAMI!
[2023/06/02] Demo code for whole-body [HybrIK-X](https://arxiv.org/abs/2304.05690) is released.
[2022/12/03] HybrIK for Blender [add-on](https://github.com/Jeff-sjtu/HybrIK/releases/download/add-on/hybrik_blender_addon.zip) is now available for download. The output of HybrIK can be imported to Blender and saved as `fbx`.
[2022/08/16] [Pretrained model](https://drive.google.com/file/d/1C-jRnay38mJG-0O4_um82o1t7unC1zeT/view?usp=sharing) with HRNet-W48 backbone is available.
[2022/07/31] Training code with predicted camera is released.
[2022/07/25] [HybrIK](https://github.com/Jeff-sjtu/HybrIK) is now supported in [Alphapose](https://github.com/MVIG-SJTU/AlphaPose)! Multi-person demo with pose-tracking is available.
[2022/04/27] <a href='https://colab.research.google.com/drive/1n41l7I2NxWseuruVQEU8he2XqzSXhu2f?usp=sharing' style='padding-left: 0.5rem;'><img src='https://colab.research.google.com/assets/colab-badge.svg' alt='Google Colab'></a> is ready to use.
[2022/04/26] Achieve SOTA results by adding the 3DPW dataset for training.
[2022/04/25] The demo code is released!
## Key idea: Inverse Kinematics
HybrIK and HybrIK-X are based on a hybrid inverse kinematics (IK) to convert accurate 3D keypoints to parametric body meshes.
<div align="center">
<img src="assets/ik.gif", width="600" alt><br>
Twist-and-Swing Decomposition
</div>
## Installation instructions
``` bash
# 1. Create a conda virtual environment.
conda create -n hybrik python=3.8 -y
conda activate hybrik
# 2. Install PyExcerpt of 9,900 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:61b328ffcb12f3ab, topic:pose-estimation, readme:pose estimation
matched fp:61b328ffcb12f3ab, topic:pytorch