PattGAN: Pluralistic Facial Attribute Editing

Facial attribute editing has witnessed substantial progress due to the increasing power of generative adversarial networks. However, existing methods mainly focus on improving the quality of facial attribute editing but ignore the diversity of facial attribute editing, which can only generate a sing...

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Bibliographic Details
Main Authors: Qiushi Sun, Jingtao Guo, Yi Liu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9804702/