Summary of Diffusion Models, Image Super-resolution and Everything: a Survey, by Brian B. Moser et al.
Diffusion Models, Image Super-Resolution And Everything: A Survey
by Brian B. Moser, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Sebastian Palacio, Andreas Dengel
First submitted to arxiv on: 1 Jan 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Multimedia (cs.MM)
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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 This paper provides a comprehensive overview of Diffusion Models (DMs) applied to image Super-Resolution (SR). The authors discuss how DMs have improved image quality, but also highlight the challenges they bring, such as high computational demands and lack of explainability. To address the overwhelming number of publications in this area, the survey unifies the theoretical foundations underlying DMs for image SR and analyzes their unique characteristics and methodologies. It explores current research avenues, including alternative input domains, conditioning techniques, guidance mechanisms, corruption spaces, and zero-shot learning approaches. By examining the evolution and trends in image SR through the lens of DMs, this survey aims to inspire further innovation in this rapidly advancing area. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine taking a low-quality picture and magically making it look like a professional photo. That’s what some new computer models can do! They’re called Diffusion Models, or DMs for short. These models are great at improving image quality, but they also have some big problems that need to be solved. One of the biggest issues is that they use a lot of computer power, which makes them slow and expensive to use. This paper helps to solve these problems by explaining how DMs work and what kinds of improvements can be made. It’s like getting a map to help you navigate this new technology. |
Keywords
* Artificial intelligence * Diffusion * Super resolution * Zero shot
