AI RESEARCH
HumanScore: Benchmarking Human Motions in Generated Videos
arXiv CS.CV
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ArXi:2604.20157v1 Announce Type: new Recent advances in model architectures, compute, and data scale have driven rapid progress in video generation, producing increasingly realistic content. Yet, no prior method systematically measures how faithfully these systems render human bodies and motion dynamics. In this paper, we present HumanScore, a systematic framework to evaluate the quality of human motions in AI-generated videos.