Kwanyoung Lee

Maximizing the determinant of an RBF Gram matrix on initial noise vectors unlocks collective diversity in diffusion models, outperforming pairwise repulsion and boosting downstream few-shot classification accuracy.

Diffusion models can now generate visually coherent stories by explicitly disentangling identity and scene information and bridging appearance gaps with a novel <EOS> embedding injection.