May 8, 2024, 4:45 a.m. | Peisong He, Leyao Zhu, Jiaxing Li, Shiqi Wang, Haoliang Li

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.04133v1 Announce Type: new
Abstract: The generative model has made significant advancements in the creation of realistic videos, which causes security issues. However, this emerging risk has not been adequately addressed due to the absence of a benchmark dataset for AI-generated videos. In this paper, we first construct a video dataset using advanced diffusion-based video generation algorithms with various semantic contents. Besides, typical video lossy operations over network transmission are adopted to generate degraded samples. Then, by analyzing local and …

abstract ai-generated videos arxiv benchmark cs.cv dataset detection generated generative global however paper risk security temporal type videos

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