AI RESEARCH
PRADA: Probability-Ratio-Based Attribution and Detection of Autoregressive-Generated Images
arXiv CS.CV
•
ArXi:2511.20068v2 Announce Type: replace Autoregressive (AR) image generation has recently emerged as a powerful paradigm for image synthesis. Leveraging the generation principle of large language models, they allow for efficiently generating deceptively real-looking images, further increasing the need for reliable detection methods. However, to date there is a lack of work specifically targeting the detection of images generated by AR image generators.