FEGAN: Flexible and Efficient Face Editing With Pre-Trained Generator
Since generative adversarial network (GAN) was first proposed, the processing of face images, especially the research of facial attribute editing, has attracted much interest. It not only can alleviate the problems associated with data deficiency, but also has great applications in the field of ente...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9055004/ |