ST-GDance++: A Scalable Spatial-Temporal Diffusion for Long-Duration Group Choreography
Journal: arXiv (Cornell University)
Year: 2026

Group dance generation from music requires synchronizing multiple dancers while maintaining spatial coordination, making it highly relevant to applications such as film production, gaming, and animation. Recent group dance generation models have achieved promising generation quality, but they remain difficult to deploy in interactive scenarios due to bidirectional attention dependencies. As the number of dancers and the sequence length increase, the attention computation required for aligning mu