PFA-GAN: Progressive Face Aging With Generative Adversarial Network

@article{Huang2020PFAGANPF,
  title={PFA-GAN: Progressive Face Aging With Generative Adversarial Network},
  author={Zhizhong Huang and Shouzhen Chen and Junping Zhang and Hongming Shan},
  journal={IEEE Transactions on Information Forensics and Security},
  year={2020},
  volume={16},
  pages={2031-2045}
}
Face aging is to render a given face to predict its future appearance, which plays an important role in the information forensics and security field as the appearance of the face typically varies with age. Although impressive results have been achieved with conditional generative adversarial networks (cGANs), the existing cGANs-based methods typically use a single network to learn various aging effects between any two different age groups. However, they cannot simultaneously meet three… 

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