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 <img src="/images/example.gif">
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-**_Training code is available now!_**
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 This is a python implementation of the following paper:
 
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 The method enforces a hybrid-level weakly-supervised training to for CNN-based 3D face reconstruction. It is fast, accurate, and robust to pose and occlussions. It achieves state-of-the-art performance on multiple datasets such as FaceWarehouse, MICC Florence and BU-3DFE.
 
+**_Training code is available now!_**
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 ## Features
 
 ### ● Accurate shapes