Deep Identity-aware Transfer of Facial Attributes

@article{Li2016DeepIT,
  title={Deep Identity-aware Transfer of Facial Attributes},
  author={Mu Li and Wangmeng Zuo and David Zhang},
  journal={CoRR},
  year={2016},
  volume={abs/1610.05586}
}
This paper presents a Deep convolutional network model for Identity-Aware Transfer (DIAT) of facial attributes. Given the source input image and the reference attribute, DIAT aims to generate a facial image (i.e., target image) that not only owns the reference attribute but also keep the same or similar identity to the input image. We develop a two-stage… CONTINUE READING

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