GLEAN : Generative Latent Bank for Image Super-Resolution and Beyond
We show that pre-trained Generative Adversarial Networks (GANs) such as StyleGAN and BigGAN can be used as a latent bank to improve the performance of image super-resolution. While most existing perceptual-oriented approaches attempt to generate realistic outputs through learning with adversarial lo...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 3 vom: 19. März, Seite 3154-3168
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| 1. Verfasser: |
Chan, Kelvin C K
(VerfasserIn) |
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| Weitere Verfasser: |
Xu, Xiangyu,
Wang, Xintao,
Gu, Jinwei,
Loy, Chen Change |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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