AI RESEARCH
IVY-FAKE: A Unified Explainable Framework and Benchmark for Image and Video AIGC Detection
arXiv CS.CV
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ArXi:2506.00979v5 Announce Type: replace The rapid development of Artificial Intelligence Generated Content (AIGC) techniques has enabled the creation of high-quality synthetic content, but it also raises significant security concerns. Current detection methods face two major limitations: (1) the lack of multidimensional explainable datasets for generated images and videos. Existing open-source datasets (e.g., WildFake, GenVideo) rely on oversimplified binary annotations, which restrict the explainability and trustworthiness of trained detectors.