Towards Lightweight Super-Resolution With Dual Regression Learning
Deep neural networks have exhibited remarkable performance in image super-resolution (SR) tasks by learning a mapping from low-resolution (LR) images to high-resolution (HR) images. However, the SR problem is typically an ill-posed problem and existing methods would come with several limitations. Fi...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 13. Nov., Seite 8365-8379
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| 1. Verfasser: |
Guo, Yong
(VerfasserIn) |
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| Weitere Verfasser: |
Tan, Mingkui,
Deng, Zeshuai,
Wang, Jingdong,
Chen, Qi,
Cao, Jiezhang,
Xu, Yanwu,
Chen, Jian |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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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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