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GitHub - c-yn AdaIR: [ICLR25] AdaIR: Adaptive All-in-One Image . . . Extensive experiments demonstrate that the proposed method, named AdaIR, achieves state-of-the-art performance on different image restoration tasks, including image denoising, dehazing, deraining, motion deblurring, and low-light image enhancement
AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and . . . Abstract page for arXiv paper 2403 14614: AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation In the image acquisition process, various forms of degradation, including noise, haze, and rain, are frequently introduced
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[2404. 11475] AdaIR: Exploiting Underlying Similarities of Image . . . The primary objective is to identify components that are shareable across restoration tasks and augment the shared components with modules specifically trained for individual tasks Towards this goal, we propose AdaIR, a novel framework that enables low storage cost and efficient training without sacrificing performance