Submitted by SleekEagle t3_ye0iw7 in MachineLearning
SleekEagle OP t1_itzk3mv wrote
Reply to comment by Ulfgardleo in [D] Poisson Flow Generative Models - new physics inspired generative model by SleekEagle
That claim is pulled directly from the paper. While I have not verified it myself, I would not be surprised if it were true if they are using discrete time diffusion models. I'm not very familiar with continuous time diffusion models, however, so maybe it would be a lot closer in that case!
Ulfgardleo t1_itzmz4u wrote
my comment was just a remark saying that "diffusion model" by itself is not informative, because there have been several approaches that already brought a lot of speed-up. The standard diffusion model is not state-of-the-art anymore.
SleekEagle OP t1_itzrai9 wrote
Oh, gotcha! Good point - I'll have to take another look but I think it might've been DDPMs from 2020
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