AI RESEARCH
SpecSem-Net: Integrating Spectral and Semantic Features for Robust AI-generated Video Detection
arXiv CS.CV
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ArXi:2605.17311v1 Announce Type: new The remarkable visual fidelity of recent commercial video generative models, such as Sora and Veo, renders robust AI-generated video detection increasingly essential to prevent synthetic content from being indistinguishable from real videos and exploited for disinformation. However, existing detectors often fail due to an over-reliance on increasingly realistic semantic features, neglecting subtle spectral artifacts. In this paper, we propose SpecSem-Net, the first framework to