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Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image

MPS-Authors
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Bogo,  Federica
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Kanazawa,  Angjoo
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Lassner,  Christoph
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Gehler,  Peter
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Romero,  Javier
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Black,  Michael J.
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Citation

Bogo, F., Kanazawa, A., Lassner, C., Gehler, P., Romero, J., & Black, M. J. (2016). Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image. In B. Leibe, J. Matas, N. Sebe, & M. Welling (Eds.), Proceedings Computer Vision - ECCV 2016, Part V (pp. 561-578). Cham: Springer International Publishing. doi:10.1007/978-3-319-46454-1_34.


Cite as: https://hdl.handle.net/11858/00-001M-0000-002D-19B5-8
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