An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

arXiv:2404.07771v1 Announce Type: new
Abstract: Diffusion models, a powerful and universal generative AI technology, have achieved tremendous success in computer vision, audio, reinforcement learning, and computational biology. In these applications, diffusion models provide flexible high-dimensional data modeling, and act as a sampler for generating new samples under active guidance towards task-desired properties. Despite the significant empirical success, theory of diffusion models is very limited, potentially slowing down principled methodological innovations for further harnessing and improving diffusion models. In this paper, …

abstract act ai technology applications arxiv audio biology computational computational biology computer computer vision cs.lg data data modeling diffusion diffusion models generative generative ai technology math.st modeling optimization overview reinforcement reinforcement learning samples statistical stat.ml stat.th success technology type universal vision