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preprint · arXiv preprint, 2026 · Oct 8, 2026

Stop My Dancing! Understanding, Detecting and Attributing Motion-Aware Deepfake Videos

Fazhong Liu, Yan Meng, Tian Dong, Guoxing Chen, Haojin Zhu

In plain English

Builds a benchmark of real and synthetic full-body videos animated by pose-guided diffusion models and proposes MoDA, a detector that also identifies which generator made a clip. The authors report detection accuracy of 94.8% in-distribution and 89.1% across datasets.

deepfakes
benchmark
ethics
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