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Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

2019-05-10


Code: We provide the inference code of RingNet. Please check the repository which is self explanatory. NoW Benchmark Dataset and Challenge: Please check the external link to download the data and participate in the challenge.

Author(s): Soubhik Sanyal and Timo Bolkart and Haiwen Feng and Michael Black
Department(s): Perceiving Systems
Research Projects(s): Faces and Expressions
Publication(s): Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
Authors: Soubhik Sanyal and Timo Bolkart and Haiwen Feng and Michael Black
Maintainers: Soubhik Sanyal and Timo Bolkart
Release Date: 2019-05-10
License: The MIT License (MIT)
Copyright: Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V.
Repository: https://github.com/soubhiksanyal/RingNet
External Link: https://ringnet.is.tue.mpg.de