CaO2 selects confident diffusion-generated samples and optimizes their latents against the denoising objective, achieving state-of-the-art distilled-dataset accuracy on ImageNet subsets.
Scaling up dataset distillation to imagenet-1k with constant memory
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CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation
CaO2 selects confident diffusion-generated samples and optimizes their latents against the denoising objective, achieving state-of-the-art distilled-dataset accuracy on ImageNet subsets.