PointHPS

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Gallery

Input point clouds are from HuMMan-Point (Coming Soon).

BibTex

@article{cai2023pointhps,
    title   =   {PointHPS: Cascaded 3D Human Pose and Shape Estimation from Point Clouds},
    author  =   {Cai, Zhongang and Pan, Liang, and Wei, Chen and Yin, Wanqi, and Hong, Fangzhou and Zhang, Mingyuan and Loy, Chen Change, and Yang, Lei, and Liu, Ziwei},
    year    =   {2023},
    journal =   {arXiv preprint arXiv:2308.14492}
  }

Explore More Motrix Projects

Motion Capture

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• [SMPL-X] [NeurIPS'23] SMPLer-X: Scaling up EHPS towards a family of generalist foundation models.
• [SMPL-X] [ECCV'24] WHAC: World-grounded human pose and camera estimation from monocular videos.
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• [SMPL-X] [NeurIPS'23] RoboSMPLX: A framework to enhance the robustness of whole-body pose and shape estimation.
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• [SMPL] [NeurIPS'22] HMR-Benchmarks: A comprehensive benchmark of HPS datasets, backbones, and training strategies.

Motion Generation

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Motion Dataset

• [SMPL] [ECCV'22] HuMMan: Toolbox for HuMMan, a large-scale multi-modal 4D human dataset.
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