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Score Approximation for Diffusion Models on Arbitrary Low-Dimensional Structures

Mu, Xinhe et al.
arXiv (All) · Papers
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machine-learning
Score-based diffusion models have achieved remarkable empirical success, motivating extensive theoretical work to establish their foundations. However, existing complexity bounds for score approximation, a vital step in diffusion modeling, rely on rigid constraints such as Lipschitz continuous score
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