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
Sujets:Journal Article