• Computer Science, Mathematics
  • Published in ArXiv 2017

Conditional CycleGAN for Attribute Guided Face Image Generation

@article{Lu2017ConditionalCF,
  title={Conditional CycleGAN for Attribute Guided Face Image Generation},
  author={Yongyi Lu and Yu-Wing Tai and Chi-Keung Tang},
  journal={ArXiv},
  year={2017},
  volume={abs/1705.09966}
}
State-of-the-art techniques in Generative Adversarial Networks (GANs) such as cycleGAN is able to learn the mapping of one image domain X to another image domain Y using unpaired image data. [...] Key ResultOur approach is general and applicable to high-quality face image generation where specific facial attributes can be controlled easily in the automatically generated results. Expand Abstract

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