Adversarially Regularized U-Net-based GANs for Facial Attribute Modification and Generation
Modifying and generating facial images with desired attributes are two important and highly related tasks in the field of computer vision. Some current methods can take advantage of their relationship and use a unified model to handle them simultaneously. However, producing high visual quality image...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8754728/ |