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DiffEditor：基于扩散的图像编辑中的准确性和灵活性增强

💡 原文中文，约500字，阅读约需2分钟。

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内容提要

本文提出了一种统一的概率形式，用于扩散式图像编辑，并介绍了SDE-Drag方法。通过评估基准DragBench，证明了SDE-Drag的优越性，推动了基于扩散的编辑方法的发展。

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