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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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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. Curran Associates, Inc.


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