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Unified image restoration methods can now be rigorously compared across real-world conditions, with 20 teams showcasing innovative solutions that push the boundaries of restoration accuracy.
Severe video compression can lead to substantial quality loss, but DiffCVE effectively restores perceptual quality by intelligently harnessing coding priors and diffusion models.