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Tianyu Ding

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#artificial intelligence Preprint Mar 2025

Learning Where and What to Restore for Composite Image Restoration

A unified framework that jointly decides where to spend computation and what degradation cues should guide restoration, which achieves state-of-the-art performance for composite degradation restoration on CDD-11 and delivers the best results to date on the conventional 3-task and 5-task all-in-one benchmarks.

Jia-Chen Jiang, Tianyu Ding, Ke Zhang et al. · 5 citations

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