README.md

metadata

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

arXiv Paper

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}
}