LGDM uses perceptual guidance during Stable Diffusion sampling and aggregates multi-scale, multi-timestep U-Net features to predict human-rated image quality, achieving state-of-the-art correlations on ten NR-IQA datasets.
Deep neural networks for no-reference and full-reference image quality assessment
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Latent Guidance in Diffusion Models for Perceptual Evaluations
LGDM uses perceptual guidance during Stable Diffusion sampling and aggregates multi-scale, multi-timestep U-Net features to predict human-rated image quality, achieving state-of-the-art correlations on ten NR-IQA datasets.