ABSTRACT Music‐driven motion generation has attracted increasing attention, yet conducting remains underexplored despite its central role in musical communication. We address this gap with a focus on choral conducting. We introduce Maestro3D, a large‐scale 3D dataset of professional performances, and propose a beat‐aware diffusion framework enhanced by a novel phase‐based beat representation that explicitly encodes rhythmic structure. Both quantitative and qualitative evaluations show that our approach achieves superior accuracy, realism, and synchronization compared to existing methods.
Cheng et al. (Fri,) studied this question.