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Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

2019-06-14


SMPL-X is a major update to the SMPL body model that adds an expressive face and fully articulated hands. If you use SMPL, this is a straightforward upgrade that improves realism and allows you to capture facial expressions and gestures. We also provide SMPLify-X to estimate SMPL-X from a single image. This is a major update to SMPlify in several senses: (1) we detect 2D features corresponding to the face, hands, and feet and fit the full SMPL-X model to these; (2) we train a new neural network pose prior using a large MoCap dataset; (3) we define a new interpenetration penalty that is both fast and accurate; (4) we automatically detect gender and the appropriate body models (male, female, or neutral); (5) our PyTorch implementation achieves a speedup of more than 8x over Chumpy.

Author(s): Georgios Pavlakos and Vasileios Choutas and Nima Ghorbani and Timo Bolkart and Ahmed A. A. Osman and Dimitrios Tzionas and Michael J. Black
Department(s): Perceiving Systems
Publication(s): Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
Authors: Georgios Pavlakos and Vasileios Choutas and Nima Ghorbani and Timo Bolkart and Ahmed A. A. Osman and Dimitrios Tzionas and Michael J. Black
Release Date: 2019-06-14
Repository: https://github.com/vchoutas/smplify-x
External Link: https://smpl-x.is.tue.mpg.de