AI RESEARCH
Position: Evaluation of Visual Processing Should Be Human-Centered, Not Metric-Centered
arXiv CS.CV
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ArXi:2603.00643v2 Announce Type: replace This position paper argues that the evaluation of modern visual processing systems should no longer be driven primarily by single-metric image quality assessment benchmarks, particularly in the era of generative and perception-oriented methods. Image restoration exemplifies this divergence: while objective IQA metrics enable reproducible, scalable evaluation, they have increasingly drifted apart from human perception and user preferences. We contend that this mismatch risks cons.