AI RESEARCH
TMD-Bench: A Multi-Level Evaluation Paradigm for Music-Dance Co-Generation
arXiv CS.AI
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ArXi:2605.01809v1 Announce Type: cross Unified audio-visual generation is rapidly gaining industrial and creative relevance, enabling applications in virtual production and interactive media. However, when moving from general audio-video synthesis to music-dance co-generation, the task becomes substantially harder: musical rhythm, phrasing, and accents must drive choreographic motion at fine temporal resolution, and such rhythmic coupling is not captured by unimodal metrics or generic audiovisual consistency scores used in current evaluation practice. We