Diffusion Models, Denoiser Architecture and Creativity 事件

Diffusion Models, Denoiser Architecture and Creativity arXiv:2605.16415v2 Announce Type: replace Abstract: The creativity of diffusion models refers to their ability to generate highly realistic images that are different from their training data. Creativity is somewhat surprising since it is known that if the denoiser used in the diffusion model is the Bayes optimal denoiser for a given training set, then the model will simply copy the training samples. In this paper we present empirical and th