March 29, 2024, 4:45 a.m. | Katherine Xu, Lingzhi Zhang, Jianbo Shi

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.19653v1 Announce Type: new
Abstract: Modern text-to-image (T2I) diffusion models can generate images with remarkable realism and creativity. These advancements have sparked research in fake image detection and attribution, yet prior studies have not fully explored the practical and scientific dimensions of this task. In addition to attributing images to 12 state-of-the-art T2I generators, we provide extensive analyses on what inference stage hyperparameters and image modifications are discernible. Our experiments reveal that initialization seeds are highly detectable, along with other …

abstract arxiv attribution beyond creativity cs.cv detection diffusion diffusion models dimensions fake generate image image detection image diffusion images modern practical prior research scientific studies text text-to-image type

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

AI Engineering Manager

@ M47 Labs | Barcelona, Catalunya [Cataluña], Spain