---
license: mit
tags:
- smpl
- human-pose-and-shape-estimation
- human-mesh-recovery
- inverse-kinematics
---
# Learnable SMPLify: A Neural Solution for Optimization-Free Human Pose Inverse Kinematics

#### <p align="center">[arXiv Paper](https://arxiv.org/abs/2508.13562)</p>

``TL;DR`` Given X_{t-s} and X_{t} 3D keypoints, 
calculate residual SMPL parameters from t-s to t.

## Citation
If you find this work useful in your research, please consider citing:

```
@misc{LearnableSMPLify,
      title={Learnable SMPLify: A Neural Solution for Optimization-Free Human Pose Inverse Kinematics},
      author={Yuchen, Yang and Linfeng, Dong and Wei, Wang and Zhihang, Zhong and Xiao, Sun},
      year={2025},
      eprint={2508.13562},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}
```