Summary of Omniedit: Building Image Editing Generalist Models Through Specialist Supervision, by Cong Wei et al.
OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision
by Cong Wei, Zheyang Xiong, Weiming Ren, Xinrun Du, Ge Zhang, Wenhu Chen
First submitted to arxiv on: 11 Nov 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 The paper introduces an omnipotent image editor called OmniEdit, which can handle seven different image editing tasks with any aspect ratio. The existing instruction-guided methods have limitations due to biased synthesis, noisy datasets, and restricted resolution. OmniEdit addresses these challenges by training a model that utilizes supervision from specialist models, importance sampling based on large multimodal models like GPT-4o, and an editing architecture called EditNet. The paper also provides a curated test set with diverse images and instructions. Both automatic and human evaluations demonstrate that OmniEdit outperforms existing models. This work has implications for real-life applications of image editing. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine being able to edit any kind of image, from any angle or aspect ratio, without needing special training or software. That’s what this paper is about! They’re introducing a new tool called OmniEdit that can do just that. Right now, there are limits on how much editing you can do because the way images are created is biased and noisy. This new tool addresses those problems by using better methods to train its models. It also has a special architecture that makes it really good at editing. The team tested this tool with lots of different kinds of images and showed that it does a better job than other existing tools. This could be super helpful for people who need to edit images in real-life situations. |
Keywords
» Artificial intelligence » Gpt
