SynergyNet
3DV 2021: Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
Extract accurate 3D facial features and geometry from images using a simplified method.
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SynergyNet has 417 stars on GitHub. It has been forked 63 times. SynergyNet is written mainly in Jupyter Notebook. It has been in active development since 2021. SynergyNet is available under the MIT license. Its main topics are 2d-3d, 3d, 3d-face-alignment, 3d-face-reconstruction.
What is SynergyNet?
3DV 2021: Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
Is SynergyNet open source?
SynergyNet is an open-source project. It is released under the MIT license.
Is SynergyNet free?
Yes. SynergyNet is free and open source — you can use, modify and self-host it.
What license does SynergyNet use?
SynergyNet is available under the MIT license.
What language is SynergyNet written in?
SynergyNet is written mainly in Jupyter Notebook.
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