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Intellindust/SKEL_CF_vitpose_H
SKEL_CF_vitpose_H is a image-to-3d model from Intellindust. Use it for the image-to-3d task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
TL;DR: SKEL-CF is a coarse-to-fine transformer framework for estimating anatomically accurate SKEL parameters from 3D human data. By converting 4DHuman to SKEL-aligned 4DHuman-SKEL and incorporating camera modeling, i…
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Updated Dec 1, 2025
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From the Hugging Face model README
TL;DR: SKEL-CF is a coarse-to-fine transformer framework for estimating anatomically accurate SKEL parameters from 3D human data. By converting 4DHuman to SKEL-aligned 4DHuman-SKEL and incorporating camera modeling, it addresses data scarcity and depth/scale ambiguities. SKEL-CF outperforms prior SKEL-based methods on MOYO (85.0 MPJPE / 51.4 PA-MPJPE), offering a scalable, biomechanically faithful solution for human motion analysis.
<p align="center"> <img src="https://raw.githubusercontent.com/Pokerman8/SKEL-CF/main/static/images/teaser.jpg" alt="SKEL-CF Teaser Image"> </p>Quick start with images:
bash vis/run_demo.sh
Quick start with videos:
bash vis/run_video.sh
For reproducing the results in the paper, please refer to docs/EVAL.md and docs/TRAIN.md.

💡 Tip: Click the buttons above to watch videos, or visit our project page for more visual results.
If you use SKEL-CF or its methods in your work, please cite the following BibTeX entries:
@article{li2025skelcf,
title={SKEL-CF: Coarse-to-Fine Biomechanical Skeleton and Surface Mesh Recovery},
author={Li, Da and Jin, Jiping and Yu, Xuanlong and Cun, Xiaodong and Chen, Kai and Fan, Rui and Kong, Jiangang and Shen, Xi},
journal={arXiv},
year={2025}
}
Parts of the code are adapted from the following repos: SKEL, CameraHMR, HSMR, ViTPose, Detectron2