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Technical University of Munich
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UAR-Net achieves state-of-the-art image restoration from adverse weather by effectively modeling both global interactions and local structures, all while estimating predictive uncertainty.
Iterative text-guided image fusion can significantly enhance perceptual quality and information preservation, even in the presence of complex degradations.