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APEX: Assumption-free Projection-based Embedding eXamination Metric for Image Quality Assessment

Gallegati, Caterina et al.
arXiv (All) · Papers
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artificial-intelligencecomputer-vision-and-pattern-recognition
As generative models achieve unprecedented visual quality, the gold standard for image evaluation remains traditional feature-distribution metrics (e.g., FID). However, these metrics are provably hindered by the closed-vocabulary bottleneck of outdated features and the assumptive bias of rigid param
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