Honlan / Dmt
Disentangled Makeup Transfer with Generative Adversarial Network
Stars: ✭ 90
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python
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DMT
TensorFlow implementation of Disentangled Makeup Transfer with Generative Adversarial Network
The facial images are disentangled into identity codes and makeup codes to achieve diverse scenarios of makeup transfer
Results
Files
-
main.py: the main code -
dmt.pb: the pre-trained model -
faces: images of makeup and non-makeup faces -
output: the generated images
Usage
python main.py
If you want to use other non-makeup or makeup images, set the paths to the target images
no_makeup = os.path.join('faces', 'no_makeup', 'xfsy_0055.png')
makeup_a = os.path.join('faces', 'makeup', 'XMY-074.png')
makeup_b = os.path.join('faces', 'makeup', 'vFG112.png')
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