HiRQA is a self-supervised NR-IQA framework trained on synthetic distortions, using a higher-order ranking loss, embedding distance loss, and text-guided contrastive alignment, claimed to generalize to authentic distortions.
Why Is Image Quality Assessment So Difficult? In IEEE International conference on acoustics, speech, and signal processing , volume 4, pages IV--3313
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HiRQA: Hierarchical Ranking and Quality Alignment for Opinion-Unaware Image Quality Assessment
HiRQA is a self-supervised NR-IQA framework trained on synthetic distortions, using a higher-order ranking loss, embedding distance loss, and text-guided contrastive alignment, claimed to generalize to authentic distortions.