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Mar, 2024
扩散概率模型的渐进均方误差最优性
On the Asymptotic Mean Square Error Optimality of Diffusion Probabilistic Models
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Benedikt Fesl, Benedikt Böck, Florian Strasser, Michael Baur, Michael Joham...
TL;DR
该研究论文通过严格证明特定DPM去噪策略在大量扩散步骤中收敛于均方误差最优条件均值估计器,为DPMs的理论理解做出了创新的贡献,并通过数值结果验证了理论发现。
Abstract
diffusion probabilistic models
(DPMs) have recently shown great potential for
denoising
tasks. Despite their practical utility, there is a notable gap in their theoretical understanding. This paper contributes no
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