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 based SISR approach to lear...
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2024) vom: 17. Mai
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1. Verfasser: |
Xia, Jingyuan
(VerfasserIn) |
Weitere Verfasser: |
Yang, Zhixiong,
Li, Shengxi,
Zhang, Shuanghui,
Fu, Yaowen,
Gunduz, Deniz,
Li, Xiang |
Format: | Online-Aufsatz
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Sprache: | English |
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 |