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Add-it: A Training-Free Method for Object Insertion in Images Using Pretrained Diffusion Models

💡 原文英文，约100词，阅读约需1分钟。

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内容提要

本研究提出了一种名为Add-it的方法，旨在解决语义图像编辑中根据文本指令自然添加对象的挑战。该方法无需额外训练，通过扩展扩散模型的注意机制，综合考虑场景图像和文本提示，实现自然的对象放置，并在多个基准测试中超越现有监督方法，显示出显著的性能提升。

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