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Jun, 2023
基于得分扩散模型中颜色转移的改善
Easing Color Shifts in Score-Based Diffusion Models
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Katherine Deck, Tobias Bischoff
TL;DR
本论文提出了一种计算成本较低的非线性旁路连接解决方案，用于缓解基于得分的扩散模型中的色偏问题，并且该网络体系架构显著改善了生成图像的空间平均值，改善的独立性与生成图像的大小大约无关。
Abstract
generated images
of
score-based models
can suffer from errors in their spatial means, an effect, referred to as a
color shift
, which grows
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