Learning Dual Transformers for All-in-One Image Restoration From a Frequency Perspective
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This work aims to tackle the all-in-one image restoration task, which seeks to handle multiple types of degradation with a single model. The primary challenge is to extract degradation representations from the input degraded images and use them to guide the mo... ...
