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...
| Autors principals: | , , |
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| Format: | Article |
| Idioma: | English |
| Publicat: |
IEEE
2022-01-01
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| Col·lecció: | IEEE Access |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/9804702/ |