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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.
Achieving high-quality image restoration with 80% fewer parameters, FReSH-IR redefines efficiency in weather-affected image processing.
