Self-Attention Guidance Improving Sample Quality of Diffusion Models Using Self-Attention Guidance is by Susung Hong et al. The abstract from the paper is: Denoising diffusion models (DDMs) have attracted attention for their exceptional generation quality and diversity. This success is largely attributed to the use of class- or text-conditional diffusion guidance methods, such as classifier and classifier-free guidance. In this paper, we presen