Summary of Conditional Image Synthesis with Diffusion Models: a Survey, by Zheyuan Zhan et al.
Conditional Image Synthesis with Diffusion Models: A Survey
by Zheyuan Zhan, Defang Chen, Jian-Ping Mei, Zhenghe Zhao, Jiawei Chen, Chun Chen, Siwei Lyu, Can Wang
First submitted to arxiv on: 28 Sep 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 Conditional image synthesis based on user-specified requirements is crucial for generating complex visual content. Recent advancements in diffusion-based generative modeling have led to an exponential growth in the literature, but this also presents significant challenges for researchers to keep up with rapid developments and understand core concepts. This survey categorizes existing works based on how conditions are integrated into denoising networks and sampling processes. Various conditioning approaches are highlighted, including their underlying principles, advantages, and potential challenges during training, re-purposing, and specialization stages. The review also focuses on popular applications, such as six mainstream conditioning mechanisms in the essential sampling process. The paper concludes by pinpointing critical yet still open problems to be solved in the future and suggests possible solutions. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about how to create new images based on what people want. Imagine you can tell a computer exactly what kind of picture you want it to make, like a dog or a car. That’s what this paper is all about – making computers that can do this. The authors looked at many different ways that scientists have tried to get computers to create images and grouped them into categories. They explained the good and bad points of each method and how they work. The paper also talked about some challenges that remain in making these kinds of computers, like figuring out how to make them more accurate. |
Keywords
» Artificial intelligence » Diffusion » Image synthesis
