Universal Image Restoration with Text Prompt Diffusion
Bing Yu,
Zhenghui Fan,
Xue Xiang
et al.
Abstract:Universal image restoration (UIR) aims to accurately restore images with a variety of unknown degradation types and levels. Existing methods, including both learning-based and prior-based approaches, heavily rely on low-quality image features. However, it is challenging to extract degradation information from diverse low-quality images, which limits model performance. Furthermore, UIR necessitates the recovery of images with diverse and complex types of degradation. Inaccurate estimations further decrease rest… Show more
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