ML-CLIPSim aggregates multi-layer patch and global similarities from frozen CLIP to approximate machine utility for images and outperforms standard IQA metrics on machine-preference tasks while staying competitive on human data.
Gradient magnitude simi- larity deviation: A highly efficient perceptual image quality index.IEEE transactions on image processing, 23(2):684–695
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ML-CLIPSim: Multi-Layer CLIP Similarity for Machine-Oriented Image Quality
ML-CLIPSim aggregates multi-layer patch and global similarities from frozen CLIP to approximate machine utility for images and outperforms standard IQA metrics on machine-preference tasks while staying competitive on human data.