Summary of Organic or Diffused: Can We Distinguish Human Art From Ai-generated Images?, by Anna Yoo Jeong Ha et al.
Organic or Diffused: Can We Distinguish Human Art from AI-generated Images?
by Anna Yoo Jeong Ha, Josephine Passananti, Ronik Bhaskar, Shawn Shan, Reid Southen, Haitao Zheng, Ben Y. Zhao
First submitted to arxiv on: 5 Feb 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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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 In this paper, researchers tackle the pressing issue of distinguishing generative AI images from human art. As AI-generated images increasingly blur the lines between art and reality, it becomes crucial to develop methods that can accurately detect AI-generated content. This problem has significant implications for various stakeholders, including artists who may be deceived into purchasing AI-generated works, companies that rely on authentic artwork, and model trainers who need to curate high-quality training data. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Art experts are in a pickle! AI-generated images are taking over the art world, making it hard to tell what’s real and what’s fake. This is bad news for artists, companies, and even people who want to buy or sell art. The researchers in this paper try to solve this problem by finding ways to spot AI-generated art. |
