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waanqii/WHAC
WHAC is a machine learning model from waanqii. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
This is the official implementation of WHAC: World-grounded Humans and Cameras (ECCV 2024), featuring the latest foundation model for human pose and shape estimation with SMPLest-X.
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Updated Feb 27, 2025
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From the Hugging Face model README
This is the official implementation of WHAC: World-grounded Humans and Cameras (ECCV 2024), featuring the latest foundation model for human pose and shape estimation with SMPLest-X.
<div align="center"> <a href="https://wqyin.github.io/projects/WHAC/" class="button"><b>[Homepage]</b></a> <a href="https://github.com/wqyin/WHAC" class="button"><b>[Code]</b></a> <a href="https://youtu.be/J-g4sol6J1s" class="button"><b>[Video]</b></a> <a href="https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/04945.pdf" class="button"><b>[Paper]</b></a> <a href="https://arxiv.org/abs/2403.12959" class="button"><b>[arXiv]</b></a> <a href="https://github.com/wqyin/SMPLest-X" class="button"><b>[SMPLest-X]</b></a> <a href="https://github.com/caizhongang/SMPLer-X" class="button"><b>[SMPLer-X]</b></a> </div>Check out our homepage for dataset download links.
@inproceedings{yin2024whac,
title={Whac: World-grounded humans and cameras},
author={Yin, Wanqi and Cai, Zhongang and Wang, Ruisi and Wang, Fanzhou and Wei, Chen and Mei, Haiyi and Xiao, Weiye and Yang, Zhitao and Sun, Qingping and Yamashita, Atsushi and Yang, Lei and Liu, Ziwei},
booktitle={European Conference on Computer Vision},
pages={20--37},
year={2024},
organization={Springer}
}
@article{yin2025smplest,
title={SMPLest-X: Ultimate Scaling for Expressive Human Pose and Shape Estimation},
author={Yin, Wanqi and Cai, Zhongang and Wang, Ruisi and Zeng, Ailing and Wei, Chen and Sun, Qingping and Mei, Haiyi and Wang, Yanjun and Pang, Hui En and Zhang, Mingyuan and Zhang, Lei and Loy, Chen Change and Yamashita, Atsushi and Yang, Lei and Liu, Ziwei},
journal={arXiv preprint arXiv:2501.09782},
year={2025}
}