RingNet
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
Generate a 3D model of a face from a 2D image without needing 3D reference images.
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RingNet has 883 stars on GitHub. It has been forked 172 times. RingNet is written mainly in Python. It has been in active development since 2019. RingNet is available under the MIT license. Its main topics are 2d-3d, 3d-data, 3d-face-reconstruction, 3d-landmarks.
What is RingNet?
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
Is RingNet open source?
RingNet is an open-source project. It is released under the MIT license.
Is RingNet free?
Yes. RingNet is free and open source — you can use, modify and self-host it.
What license does RingNet use?
RingNet is available under the MIT license.
What language is RingNet written in?
RingNet is written mainly in Python.
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