https://github.com/GPlaying/AttentionDrag

https://github.com/GPlaying/AttentionDrag

Last synced: about 17 hours ago
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• Host: GitHub
• URL: https://github.com/GPlaying/AttentionDrag
• Owner: GPlaying
• Created: 2025-05-02T01:22:18.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2025-05-10T02:14:46.000Z (about 2 months ago)
• Last Synced: 2025-05-10T03:22:43.930Z (about 2 months ago)
• Size: 2.93 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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• awesome-diffusion-categorized - [Code

README

        
# AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing

## 算法介绍

AttentionDrag是一种新颖的一步式基于点的图像编辑方法，利用预训练扩散模型中的内在潜在知识和特征相关性，无需大量重新优化或重新训练，即可实现语义一致性及高质量的图像编辑，解决传统方法效率低下、难以捕捉语义关系的问题。

## 算法结构