DAP formalizes a representativeness prior via Mercer kernel similarity in feature space and uses it to guide diffusion reverse process for higher-quality distilled datasets on ImageNet without retraining.
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Diffusion Models as Dataset Distillation Priors
DAP formalizes a representativeness prior via Mercer kernel similarity in feature space and uses it to guide diffusion reverse process for higher-quality distilled datasets on ImageNet without retraining.