April 2, 2024, 7:47 p.m. | Shihao Zhou, Jinshan Pan, Jinglei Shi, Duosheng Chen, Lishen Qu, Jufeng Yang

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.00288v1 Announce Type: new
Abstract: How to explore useful features from images as prompts to guide the deep image restoration models is an effective way to solve image restoration. In contrast to mining spatial relations within images as prompt, which leads to characteristics of different frequencies being neglected and further remaining subtle or undetectable artifacts in the restored image, we develop a Frequency Prompting image restoration method, dubbed FPro, which can effectively provide prompt components from a frequency perspective to …

arxiv cs.cv image image restoration prompt transformer type

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