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Lodge++: High-quality and Long Dance Generation with Vivid Choreography Patterns

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arxiv 2410.20389 v1 pith:77YAXXDX submitted 2024-10-27 cs.CV cs.AIcs.GR

classification cs.CVcs.AIcs.GR
keywords choreographydancelodgepatternsdancesgenerateglobalhigh-quality
verification ladder T0 review T1 audit T2 compute T3 formal
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We propose Lodge++, a choreography framework to generate high-quality, ultra-long, and vivid dances given the music and desired genre. To handle the challenges in computational efficiency, the learning of complex and vivid global choreography patterns, and the physical quality of local dance movements, Lodge++ adopts a two-stage strategy to produce dances from coarse to fine. In the first stage, a global choreography network is designed to generate coarse-grained dance primitives that capture complex global choreography patterns. In the second stage, guided by these dance primitives, a primitive-based dance diffusion model is proposed to further generate high-quality, long-sequence dances in parallel, faithfully adhering to the complex choreography patterns. Additionally, to improve the physical plausibility, Lodge++ employs a penetration guidance module to resolve character self-penetration, a foot refinement module to optimize foot-ground contact, and a multi-genre discriminator to maintain genre consistency throughout the dance. Lodge++ is validated by extensive experiments, which show that our method can rapidly generate ultra-long dances suitable for various dance genres, ensuring well-organized global choreography patterns and high-quality local motion.

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Cited by 4 Pith papers

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  2. Wan-Dancer: A Hierarchical Framework for Minute-scale Coherent Music-to-Dance Generation

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    A hierarchical global-keyframe then local-refinement diffusion pipeline produces stable 720p/30fps music-to-dance videos longer than one minute across five genres.

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  4. FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation

    cs.CV 2025-11 conditional novelty 5.0 of 10

    FlowerDance pairs MeanFlow few-step flow matching with a bidirectional Mamba backbone and physical-consistency losses, reporting state-of-the-art dance quality at 2008 FPS on FineDance and AIST++.

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