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

• main.py: the main code
• dmt.pb: the pre-trained model
• faces: images of makeup and non-makeup faces
• output: the generated images

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')