AI RESEARCH
ReConFuse: Reconstruction-Error Guided Semantic Fusion for AI-Generated Video Detection
arXiv CS.CV
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ArXi:2606.04706v1 Announce Type: new AI-generated videos are becoming increasingly realistic, raising serious concerns about misinformation, content authenticity, and media trust. Reliable AI-generated video detection is. therefore. essential for multimedia forensics, yet remains challenging due to the need to capture spatial artifacts, temporal dynamics, and generalize to evolving generative models. In this paper, we explore reconstruction error as a discriminative forensic cue for AI-generated video detection.