Harmonious Group Choreography with Trajectory-Controllable Diffusion
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 33 of its 61 references that are in the map. First posted on arXiv 10 Mar 2024.
Builds on
33 of 61 references.
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21 more
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Built on by
Citing papers per year: 2025: 3.
3 papers.
- 2025TCDiff++: An End-to-end Trajectory-Controllable Diffusion Model for Harmonious Music-Driven Group Choreographycited by 4
- 2025ReactDance: Hierarchical Representation for High-Fidelity and Coherent Long-Form Reactive Dance Generationcited by 1
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- 2025GreenPlanner: Practical Floorplan Layout Generation via an Energy-Aware and Function-Feasible Generative Framework29 Nov 2025
- 2025TCDiff++: An End-to-end Trajectory-Controllable Diffusion Model for Harmonious Music-Driven Group Choreography23 Jun 2025
- 2025ReactDance: Hierarchical Representation for High-Fidelity and Coherent Long-Form Reactive Dance Generation8 May 2025