LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and 
Shape for 3D Human Mesh Registration

Bhatnagar, Bharat Lal; Sminchisescu, Cristian; Theobalt, Christian; Pons-Moll, Gerard

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Conference Paper

LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration

MPS-Authors

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Bhatnagar, Bharat Lal
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

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Theobalt, Christian
Computer Graphics, MPI for Informatics, Max Planck Society;

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Pons-Moll, Gerard
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

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https://papers.nips.cc/paper/2020/file/970af30e481057c48f87e101b61e6994-Paper.pdf
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NeurIPS-2020-loopreg-self-supervised-learning-of-implicit-surface-correspondences-pose-and-shape-for-3d-human-mesh-registration-Paper.pdf
(Publisher version), 7MB

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Citation

Bhatnagar, B. L., Sminchisescu, C., Theobalt, C., & Pons-Moll, G. (2020). LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration. In H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, & H. Lin (Eds.), Advances in Neural Information Processing Systems 33 (pp. 12909-12922). Curran Associates, Inc.

Cite as: https://hdl.handle.net/21.11116/0000-0007-6FD1-1

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