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项目作者： seasonyc

项目描述 ：
A VAE for CelebA
高级语言： Python
项目地址: git://github.com/seasonyc/face_vae.git
创建时间： 2019-01-01T15:52:18Z
项目社区：https://github.com/seasonyc/face_vae
开源协议：
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A VAE for face translation

This VAE uses face-recognize network output as its perceptual Loss instead of the pixel reconstruction loss, the result examples are in pictures directory.

Usage:

  1. Clone this repo, the code is based on tensorflow 1.12.0 and tensorflow.keras 2.1.6-tf, InstanceNormalization.py is a workaround because keras 2.1.6-tf doesn’t include keras-contrib InstanceNormalization.
  2. Download CelebA dataset and put the files into CelebA folder.
  3. Download facenet keras model and put into model folder.
  4. Run face_vae.py to train the vae
  5. Use vae_attribute_manipulate.py to compute attribute vector and translate the portrait.