Deterministic diffusion samplers induce collapse errors, where samples overly concentrate locally, caused by low-noise score learning degrading high-noise score accuracy.
Generative modeling by estimating gradients of the data distribution
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On the Collapse Errors Induced by the Deterministic Sampler for Diffusion Models
Deterministic diffusion samplers induce collapse errors, where samples overly concentrate locally, caused by low-noise score learning degrading high-noise score accuracy.