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Jun, 2024
一致性扩散模型的可证明统计速率
Provable Statistical Rates for Consistency Diffusion Models
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Zehao Dou, Minshuo Chen, Mengdi Wang, Zhuoran Yang
TL;DR
本文提出了一种统计理论，将一致性模型的训练视为分布差异最小化问题，并通过使用Wasserstein距离，导出了与传统扩散模型相匹配的一致性模型的统计估计速率，同时揭示了一致性模型通过蒸馏和隔离方法进行训练的优势。
Abstract
diffusion models
have revolutionized various application domains, including computer vision and audio generation. Despite the state-of-the-art performance,
diffusion models
are known for their slow
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