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AI-Generated Video Detection via Spatio-Temporal Anomaly Learning
March 26, 2024, 4:48 a.m. | Jianfa Bai, Man Lin, Gang Cao
cs.CV updates on arXiv.org arxiv.org
Abstract: The advancement of generation models has led to the emergence of highly realistic artificial intelligence (AI)-generated videos. Malicious users can easily create non-existent videos to spread false information. This letter proposes an effective AI-generated video detection (AIGVDet) scheme by capturing the forensic traces with a two-branch spatio-temporal convolutional neural network (CNN). Specifically, two ResNet sub-detectors are learned separately for identifying the anomalies in spatical and optical flow domains, respectively. Results of such sub-detectors are fused …
ai-generated video anomaly arxiv cs.cr cs.cv detection generated temporal type via video
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