Exploring the Application of Large-Scale Pre-Trained Models on Adverse Weather Removal
Image restoration under adverse weather conditions (e.g., rain, snow, and haze) is a fundamental computer vision problem that has important implications for various downstream applications. Distinct from early methods that are specially designed for specific types of weather, recent works tend to si...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 28., Seite 1683-1698
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| 1. Verfasser: |
Tan, Zhentao
(VerfasserIn) |
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| Weitere Verfasser: |
Wu, Yue,
Liu, Qiankun,
Chu, Qi,
Lu, Le,
Ye, Jieping,
Yu, Nenghai |
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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 image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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