Transitional Learning : Exploring the Transition States of Degradation for Blind Super-resolution
Being extremely dependent on iterative estimation of the degradation prior or optimization of the model from scratch, the existing blind super-resolution (SR) methods are generally time-consuming and less effective, as the estimation of degradation proceeds from a blind initialization and lacks inte...
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 5 vom: 15. Mai, Seite 6495-6510
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1. Verfasser: |
Huang, Yuanfei
(VerfasserIn) |
Weitere Verfasser: |
Li, Jie,
Hu, Yanting,
Gao, Xinbo,
Huang, Hua |
Format: | Online-Aufsatz
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Sprache: | English |
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 |