Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, 
Pose, and Appearance Consistency

Sanyal, Soubhik; Vorobiov, Alex; Bolkart, Timo; Loper, Matthew; Mohler, Betty; Davis, Larry; Romero, Javier; Black, Michael J.

doi:10.1109/ICCV48922.2021.01095

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Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistency

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Sanyal, Soubhik
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Bolkart, Timo
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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https://doi.org/10.1109/ICCV48922.2021.01095
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https://doi.org/10.48550/arXiv.2110.05458
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https://openaccess.thecvf.com/content/ICCV2021/html/Sanyal_Learning_Realistic_Human_Reposing_Using_Cyclic_Self-Supervision_With_3D_Shape_ICCV_2021_paper.html
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Citation

Sanyal, S., Vorobiov, A., Bolkart, T., Loper, M., Mohler, B., Davis, L., et al. (2021). Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistency. In 2021 IEEE/CVF International Conference on Computer Vision (ICCV 2021) (pp. 11118-11127). Piscataway, NJ: IEEE. doi:10.1109/ICCV48922.2021.01095.

Cite as: https://hdl.handle.net/21.11116/0000-000B-7B66-9

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