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