AI RESEARCH
Degradation Frequency Curve: An Explicit Frequency-Quantified Representation for All-in-One Image Restoration
arXiv CS.CV
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ArXi:2605.17506v1 Announce Type: new A fundamental difficulty in all-in-one blind image restoration is that degradation is usually treated as an implicit factor hidden in degraded-to-clean mapping, rather than as an explicit object that can be measured and manipulated. This limitation becomes pronounced under mixed, compound, or unseen degradation conditions, where degradation effects are hard to assign to predefined labels or task-specific parameters.