Face Attributes Transfer ( StarGAN

Multiple domain interpretation ( style transfer

Change the face with different attributes ( hair color, gender, skin, facial expressions ) The images from left to right are ( original image, black hair, blond hair, male, male with mustache, without smiling, pale face )

Usage

• Dataset need to be preprocessed with following this steps
  • We use 256 x 256 celeba images as our training data
• Preprocessing
  • python3 preprocessing.py
• Train
  • python3 train.py <path to celeba-hq/celeba-256>
• Predict
  • Reference predict.ipynb to understand how to use it

Result

• The images from left to right are ( original image, black hair, brown hair, male, male with mustache, without smiling, pale face )

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• The images from left to right are ( original image, black hair, blond hair, male, male with mustache, without smiling, pale face )

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• The images from left to right are ( original image, without mustache, blond hair, female, more mustache, smiling, pale face )

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• The images from left to right are ( original image, blond hair, brown hair, female, more mustache, without smiling, pale face )

Reference

• yunjey/StarGAN
• arxiv/StarGAN
• paarthneekhara/text-to-image
• junyanz/CycleGAN