Summary of Clickdiffusion: Harnessing Llms For Interactive Precise Image Editing, by Alec Helbling et al.
ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing
by Alec Helbling, Seongmin Lee, Polo Chau
First submitted to arxiv on: 5 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 Recently, researchers have developed powerful systems for generating and manipulating images using natural language instructions. However, it is challenging to precisely specify many common classes of image transformations with text alone. For instance, a user may wish to change the location and breed of a particular dog in an image with several similar dogs. This task is difficult with natural language alone, requiring laboriously complex prompts that disambiguate the target dog and describe the destination. To address this issue, we propose ClickDiffusion, a system that combines natural language instructions with visual feedback provided by users through direct manipulation interfaces. By serializing both images and multi-modal instructions into textual representations, it is possible to leverage large language models (LLMs) for precise transformations of image layouts and appearances. Our approach demonstrates the effectiveness of using LLMs for image manipulation and generation tasks. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine being able to change or create images with just words! This can be tricky because sometimes we need to describe exactly what we want, like moving a specific dog in an image. Researchers have been working on systems that let us do this using natural language instructions. The problem is that these instructions alone are not enough to precisely tell the system what to do. To fix this, we came up with ClickDiffusion, a new way of combining words and visual feedback to create or manipulate images. This approach uses large language models (LLMs) to perform precise transformations of image layouts and appearances. With ClickDiffusion, users can easily change or generate images by providing natural language instructions. |
Keywords
» Artificial intelligence » Multi modal
