TextIR : A Simple Framework for Text-based Editable Image Restoration
Many current image restoration approaches utilize neural networks to acquire robust image-level priors from extensive datasets, aiming to reconstruct missing details. Nevertheless, these methods often falter with images that exhibit significant information gaps. While incorporating external priors o...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - PP(2025) vom: 12. März
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| 1. Verfasser: |
Bai, Yunpeng
(VerfasserIn) |
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| Weitere Verfasser: |
Wang, Cairong,
Xie, Shuzhao,
Dong, Chao,
Yuan, Chun,
Wang, Zhi |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2025
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article |
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