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...
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Détails bibliographiques
Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - PP(2025) vom: 12. März
|
Auteur principal: |
Bai, Yunpeng
(Auteur) |
Autres auteurs: |
Wang, Cairong,
Xie, Shuzhao,
Dong, Chao,
Yuan, Chun,
Wang, Zhi |
Format: | Article en ligne
|
Langue: | English |
Publié: |
2025
|
Accès à la collection: | IEEE transactions on visualization and computer graphics
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Sujets: | Journal Article |