Comment by ansk

Why broadly claim an entire class of generative model outperforms another? They simply show that their particular implementation of a diffusion model attains better performance (for some metric) than the current best implementation of a GAN. Almost inevitably (and likely in the very near future) someone will invest the time and tuning to squeeze out some more performance from a GAN/VAE/flow, and this title will be outdated.