Monocular Real-time Full Body Capture with Inter-part Correlations Computer 
Vision and Pattern Recognition

Zhou, Yuxiao; Habermann, Marc; Habibie, Ikhsanul; Tewari, Ayush; Theobalt, Christian; Xu, Feng

doi:10.1109/CVPR46437.2021.00478

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Conference Paper

Monocular Real-time Full Body Capture with Inter-part Correlations Computer Vision and Pattern Recognition

MPS-Authors

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Habermann, Marc
Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society;

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Habibie, Ikhsanul
Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society;

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Tewari, Ayush
Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society;

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Theobalt, Christian
Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society;

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https://people.mpi-inf.mpg.de/~mhaberma/projects/2021-cvpr-full-body-capture/
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Zhou_Monocular_Real-Time_Full_Body_Capture_With_Inter-Part_Correlations_CVPR_2021_paper.pdf
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Citation

Zhou, Y., Habermann, M., Habibie, I., Tewari, A., Theobalt, C., & Xu, F. (2021). Monocular Real-time Full Body Capture with Inter-part Correlations Computer Vision and Pattern Recognition. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 4809-4820). Piscataway, NJ: IEEE. doi:10.1109/CVPR46437.2021.00478.

Cite as: https://hdl.handle.net/21.11116/0000-0008-892F-A

Abstract

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