AI RESEARCH
Vision-Language Models vs Human: Perceptual Image Quality Assessment
arXiv CS.CV
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ArXi:2603.24578v1 Announce Type: new Psychophysical experiments remain the most reliable approach for perceptual image quality assessment (IQA), yet their cost and limited scalability encourage automated approaches. We investigate whether Vision Language Models (VLMs) can approximate human perceptual judgments across three image quality scales: contrast, colorfulness and overall preference. Six VLMs four