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BeautyGAN-pytorch

Unofficial implementation of ACM MM 2018 paper: "BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network"

it can successfully run.

Train

  1. downing the 'vgg_conv.pth' : https://bethgelab.org/media/uploads/pytorch_models/vgg_conv.pth

    put it at ./addings/

  2. downing dataset. Dataset can be found in project page: http://colalab.org/projects/BeautyGAN, containing of all/images/ and all/segs

    put all/images/* and all/segs/* into ./data/makeup/makeup_final/

  3. using generate.py to generate '*.txt' eg. 'train_MAKEMIX.txt.

    put four txt files into ./data/makeup/makeup_final/

  4. python train.py

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