Summary of Diffree: Text-guided Shape Free Object Inpainting with Diffusion Model, by Lirui Zhao et al.
Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model
by Lirui Zhao, Tianshuo Yang, Wenqi Shao, Yuxin Zhang, Yu Qiao, Ping Luo, Kaipeng Zhang, Rongrong Ji
First submitted to arxiv on: 24 Jul 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 Medium Difficulty summary: This paper proposes a novel approach to object addition for images with only text guidance, called Diffree. The model, based on the Stable Diffusion framework, addresses the challenges of existing text-guided image inpainting methods by predicting the position of the new object and achieving seamless integration into the original image. To train and evaluate Diffree, the authors curate OABench, a synthetic dataset comprising 74K tuples of original images, inpainted images with removed objects, object masks, and descriptions. The paper demonstrates that Diffree excels in adding new objects with high success rates while maintaining background consistency, spatial appropriateness, and object relevance and quality. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Low Difficulty summary: This research helps computers add new objects to pictures using only words as guidance. Right now, it’s hard for computers to do this without getting the details wrong. The authors create a special dataset with lots of examples of adding objects to pictures and train a computer model called Diffree to do it better. With Diffree, the computer can figure out where to put the new object in the picture and make sure it looks like it belongs there. The results show that Diffree is very good at doing this job! |
Keywords
» Artificial intelligence » Diffusion » Image inpainting
