Pyramidal Denoising Diffusion Probabilistic Models. (arXiv:2208.01864v2 [cs.CV] UPDATED)

Recently, diffusion model have demonstrated impressive image generation
performances, and have been extensively studied in various computer vision
tasks. Unfortunately, training and evaluating diffusion models consume a lot of
time and computational resources. To address this problem, here we present a
novel pyramidal diffusion model that can generate high resolution images
starting from much coarser resolution images using a {\em single} score
function trained with a positional embedding. This enables a neural network to
be much lighter and also enables …

arxiv denoising diffusion