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.
Minimizing the accumulated trajectory error to improve dataset distillation
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
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.