Unofficial implementation of ACM MM 2018 paper: "BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network"
it can successfully run.
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downing the 'vgg_conv.pth' : https://bethgelab.org/media/uploads/pytorch_models/vgg_conv.pth
put it at ./addings/
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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/
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using generate.py to generate '*.txt' eg. 'train_MAKEMIX.txt.
put four txt files into ./data/makeup/makeup_final/
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python train.py