Diffusion models trained on disjoint data converge at high noise but diverge near the data manifold, and they fail to denoise very small perturbations accurately.
Denoising diffusion probabilistic models
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Diffusion models under low-noise regime
Diffusion models trained on disjoint data converge at high noise but diverge near the data manifold, and they fail to denoise very small perturbations accurately.