AI RESEARCH
Fine-grained Image Quality Assessment for Perceptual Image Restoration
arXiv CS.CV
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ArXi:2508.14475v4 Announce Type: replace-cross Recent years have witnessed remarkable achievements in perceptual image restoration (IR), creating an urgent demand for accurate image quality assessment (IQA), which is essential for both performance comparison and algorithm optimization. Unfortunately, the existing IQA metrics exhibit inherent weakness for IR task, particularly when distinguishing fine-grained quality differences among red images.