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GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction

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GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction

Results of mine

The effect is not too bad, lack of data is the biggest problem!

  • Some were converted into neutral expressions.





  • retain original expressions. The concrete implementaion is different from the paper.

  • different perspectives


Citation

paper_link

@InProceedings{Gecer_2019_CVPR,  
author = {Gecer, Baris and Ploumpis, Stylianos and Kotsia, Irene and Zafeiriou, Stefanos},  
title = {GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction},  
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},  
month = {June},  
year = {2019}   
}  

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