πArXiv AIβ’Stalecollected in 23h
Self-Supervised SR Quality Assessor
β‘ 30-Second TL;DR
What Changed
Degradation-focused, content-independent learning
Why It Matters
Enables adaptive quality assessment in data-scarce real SR domains. Outperforms SOTA on benchmarks. Bridges gap in realistic SR-IQA.
What To Do Next
Prioritize whether this update affects your current workflow this week.
Who should care:Researchers & Academics
Key Points
- β’Degradation-focused, content-independent learning
- β’Contrastive pairs from same/different SR models
- β’Handles scaling factors and real LR degradations
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Original source: ArXiv AI β
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