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Conference Paper

Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields

MPS-Authors
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Tiwari,  Garvita
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

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Lenssen,  Jan Eric
Computer Vision and Machine Learning, 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://rdcu.be/c26RY
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Citation

Tiwari, G., Antic, D., Lenssen, J. E., Sarafianos, N., Tung, T., & Pons-Moll, G. (2022). Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields. In S. Avidan, G. Brostow, M. Cissé, G. Farinella, & T. Hassner (Eds.), Computer Vision -- ECCV 2022 (pp. 572-589). Berlin: Springer. doi:10.1007/978-3-031-20065-6_33.


Cite as: https://hdl.handle.net/21.11116/0000-000A-B582-6
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