Summary of Swapanything: Enabling Arbitrary Object Swapping in Personalized Visual Editing, by Jing Gu et al.
SwapAnything: Enabling Arbitrary Object Swapping in Personalized Visual Editing
by Jing Gu, Nanxuan Zhao, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, HyunJoon Jung, Yilin Wang, Xin Eric Wang
First submitted to arxiv on: 8 Apr 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel framework called SwapAnything is introduced for personalized subject swapping in images, enabling the precise control of arbitrary objects while preserving the context. The approach has three unique advantages: precise control of objects, faithful preservation of context pixels, and better adaptation to the image. Targeted variable swapping and appearance adaptation are proposed to achieve these benefits. Extensive results demonstrate significant improvements over baseline methods on various tasks, including single object, multiple objects, partial object, and cross-domain swapping. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary SwapAnything is a new way to edit pictures by replacing specific objects with personalized ideas while keeping the rest of the image the same. This helps people express their creativity and tell better stories through images. The approach has three special features: it can control any part of an object, keep the background unchanged, and adapt the new idea to fit the picture perfectly. The results show that SwapAnything works much better than other methods for replacing objects in pictures. |
