Banana100 dataset shows that none of 21 popular NR-IQA metrics consistently rate images degraded by 100 iterative edits lower than clean originals.
Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30
2 Pith papers cite this work. Polarity classification is still indexing.
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IQPIR uses NR-IQA-derived quality scores to condition a Transformer and dual-branch codebook for perceptually superior real-world image restoration.
citing papers explorer
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Banana100: Breaking NR-IQA Metrics by 100 Iterative Image Replications with Nano Banana Pro
Banana100 dataset shows that none of 21 popular NR-IQA metrics consistently rate images degraded by 100 iterative edits lower than clean originals.
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Beyond Ground-Truth: Leveraging Image Quality Priors for Real-World Image Restoration
IQPIR uses NR-IQA-derived quality scores to condition a Transformer and dual-branch codebook for perceptually superior real-world image restoration.