Classifier-Derived Guidance for Diffusion-Based Medical Dataset Distillation
A classifier-derived guidance framework for diffusion-based medical dataset distillation is proposed that uses predictions from a pretrained noise-conditioned classifier to guide diffusion sampling through three objectives and characterize the configuration-dependent utility of classifier-derived guidance for compact s...