AI RESEARCH
Q-REAL: Towards Realism and Plausibility Evaluation for AI-Generated Content
arXiv CS.CV
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ArXi:2511.16908v2 Announce Type: replace Quality assessment of AI-generated content is crucial for evaluating model capability and guiding model optimization. However, most existing quality assessment datasets and models provide only a single quality score, which is too coarse to offer targeted guidance for improving generative models.