A DDPM-trained noise predictor can denoise across several time steps in one update because the multi-step posterior is Gaussian and uses the same network.
Inception score(IS) and Fr ´echet incep- tion distance(FID) explained
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Pretrained Diffusion Models Are Inherently Skipped-Step Samplers
A DDPM-trained noise predictor can denoise across several time steps in one update because the multi-step posterior is Gaussian and uses the same network.