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Unite the People – Closing the Loop Between 3D and 2D Human Representations

2017-07-21


The dataset includes annotations of common human pose datasets. These include 3D body pose, 91 surface and joint landmarks, foreground segmentation, and body part segments. Together with the images, these can be used to train neural networks for human pose estimation tasks, including 3D pose estimation. The 3D body is represented by SMPL. Training code is provided.

Author(s): Lassner, Christoph and Romero, Javier and Kiefel, Martin and Bogo, Federica and Black, Michael J. and Gehler, Peter V.
Department(s): Perceiving Systems
Authors: Lassner, Christoph and Romero, Javier and Kiefel, Martin and Bogo, Federica and Black, Michael J. and Gehler, Peter V.
Release Date: 2017-07-21
Repository: https://github.com/classner/up
External Link: http://files.is.tuebingen.mpg.de/classner/up/