Comprehensive Style Transfer for Facial Images Using Enhanced Feature Attribution in Generative Adversarial Nets
Image-to-image translation is a fundamental task in computer vision that transforms images between domains while preserving essential content. Although adaptive instance normalization (AdaIN) is widely used for style transfer, its reliance on simple statistical measures (mean and variance) may limit...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11017600/ |
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