2024
Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment
NeurIPS 2024poster
In this paper, we point out that suboptimal noise-data mapping leads to slow training of diffusion models. During diffusion training, current methods diffuse each image across the entire noise space, resulting in a mixture of all images at every point in the noise layer. We emphasize that this rando…