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Pyramidal Denoising Diffusion Probabilistic Models. (arXiv:2208.01864v2 [cs.CV] UPDATED)
Sept. 30, 2022, 1:14 a.m. | Dohoon Ryu, Jong Chul Ye
stat.ML updates on arXiv.org arxiv.org
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 …
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