FaceID-GAN

this is a re-implementation of CVPR2018 paper "FaceID-GAN" using Pytorch

note: I don't finish this work because model is so big that my compute doesn't support training, but I haved done most of work such as training a P net according to paper and building model arctiture. Maybe you need to optimize my code, because I don't test it.

dependencies

• Pytorch >=0.4
• python3
• pip install face-alignment

get pre-trained P net

• firstly to get 68 key points of one face, using this great work
• using open source code to get 3DMM parameters for training P net
• change "./train_p/coonfig.py" and "./train_p/vector_loader.py" to adapt to your environment.
• run "./train_p/train_pnet.py", and p outputs 235-dims vector whose formulation is [Pose_Para;Shape_Para;Exp_Para]

notes that I have trained p net, you can download from here. Code is "1yvm".

acknowledgement

• thanks for first author of FaceID-GAN to reply my email and untie my confusion.
• thanks for the wonderful open source works to develop this project,such as BEGAN,face_alignment.