Localized AI manipulations in long-form videos often affect brief events within otherwise authentic content, making video-level classification insufficient for forensic analysis. Existing audio-visual deepfake benchmarks largely focus on short talking-head clips, while long-form temporal forensics remains predominantly...
Yue-Sheng Huang, Hoi-Fan Au, Jia-Qi Hou et al.· 0 citations
Video virtual try-on has attracted increasing attention due to its broad potential in digital fashion and intelligent e-commerce. However, existing methods primarily focus on low-resolution settings and still face substantial challenges when extended to high-resolution scenarios. These limitations can be attributed to...
Zi-Jing Qin, Jun Zhou, Rui-Cheng Zhang et al.· arXiv.org· 0 citations
This work introduces meta-detection into AI-generated video detection, enabling reliable forgery detection by jointly optimizing predicted labels and supporting evidence within reinforcement learning, and introduces evidence-aware credit assignment, which preserves reliable label supervision while encouraging detectors...
Bo-Wei Liu, Zheng Lu, Yuhan Bian et al.· 1 citation
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