Google Research demystifies diffusion model creativity

A study shows diffusion model creativity arises from neural networks learning a smoothed score function, driving interpolation between training data points. The work, presented at ICLR 2026, mathematically explains how models generate novel data rather than memorizing the training set.

Featured · Zhengdao Chen