EigDiff: Eigensample Diffusion - or how to significantly reduce training dataset size with marginal performance variation?

arXiv:2610.20999v1 Announce Type: cross Abstract: Diffusion models are notoriously expensive to train, requiring large-scale datasets to learn how to gradually reverse the noise from images over multiple small denoising steps. Current approaches focus on disti