Exploring techniques to distinguish between real images and those generated using stable diffusion XL.
The recent development of text-to-image diffusion models has allowed us to quickly generate realistic images from textual prompts. Despite enabling innovation in particular domains, concerns have been raised over the prospect of malicious users posing synthetic images as genuine. To assess if it is...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Public Library of Science (PLoS)
2026-01-01
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| Collection: | PLoS ONE |
| Accès en ligne: | https://doi.org/10.1371/journal.pone.0339917 |
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