Harmonious Music-driven Group Choreography with Trajectory-Controllable Diffusion
DOI:
https://doi.org/10.1609/aaai.v39i3.32268Abstract
Creating group choreography from music is crucial in cultural entertainment and virtual reality, with a focus on generating harmonious movements. Despite growing interest, recent approaches often struggle with two major challenges: multi-dancer collisions and single-dancer foot sliding. To address these challenges, we propose a Trajectory-Controllable Diffusion (TCDiff) framework, which leverages non-overlapping trajectories to ensure coherent and aesthetically pleasing dance movements. To mitigate collisions, we introduce a Dance-Trajectory Navigator that generates collision-free trajectories for multiple dancers, utilizing a distance-consistency loss to maintain optimal spacing. Furthermore, to reduce foot sliding, we present a footwork adaptor that adjusts trajectory displacement between frames, supported by a relative forward-kinematic loss to further reinforce the correlation between movements and trajectories. Experiments demonstrate our method's superiority.Downloads
Published
2025-04-11
How to Cite
Dai, Y., Zhu, W., Li, R., Ren, Z., Zhou, X., Ying, J., … Yang, J. (2025). Harmonious Music-driven Group Choreography with Trajectory-Controllable Diffusion. Proceedings of the AAAI Conference on Artificial Intelligence, 39(3), 2645–2653. https://doi.org/10.1609/aaai.v39i3.32268
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Section
AAAI Technical Track on Computer Vision II