Training diffusion models to output a sample from the posterior distribution of clean data given noisy data, via an energy scoring rule, improves few-step generation quality on images and robot trajectories.
Fast inference in denoising diffusion models via MMD finetuning
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Distributional Diffusion Models with Scoring Rules
Training diffusion models to output a sample from the posterior distribution of clean data given noisy data, via an energy scoring rule, improves few-step generation quality on images and robot trajectories.