Section: New Software and Platforms
BodyNet
BodyNet: Volumetric Inference of 3D Human Body Shapes
Keywords: Computer vision - Machine learning
Functional Description: BodyNet has the code to train multi-task neural networks for 2D/3D pose estimation, 2D body part segmentation, and 3D volumetric shape estimation of human bodies given single RGB images as input. The release also contains pre-trained models.
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Participants: Gül Varol Simsekli, Ivan Laptev and Cordelia Schmid
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Publication: BodyNet: Volumetric Inference of 3D Human Body Shapes