Blind Super-Resolution via Meta-Learning and Markov Chain Monte Carlo Simulation
Learning based approaches have witnessed great successes in blind single image super-resolution (SISR) tasks, however, handcrafted kernel priors and learning based kernel priors are typically required. In this paper, we propose a meta-learning and Markov Chain Monte Carlo (MCMC) based SISR approach...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 17. Dez., Seite 8139-8156
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| 1. Verfasser: |
Xia, Jingyuan
(VerfasserIn) |
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| Weitere Verfasser: |
Yang, Zhixiong,
Li, Shengxi,
Zhang, Shuanghui,
Fu, Yaowen,
Gunduz, Deniz,
Li, Xiang |
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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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