Wan-Dancer: A Hierarchical Framework for Minute-scale Coherent Music-to-Dance Generation
Generating long-duration, high-definition, and rhythmically synchronized dance videos directly from music remains a significant challenge, primarily due to the temporal constraints of current diffusion models, which typically fail beyond 20 seconds. Existing approaches, whether they rely on intermediate 3D skeletons or on end-to-end video synthesis, suffer from temporal drift, identity inconsistency, and repetitive motion patterns when extended to longer horizons. To address these limitations, we propose a novel hierarchical framework for minute-scale coherent music-to-dance generation. Our me
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- PossiblePossibly related (embedding) · 46%jaswon/osu-dreamer →
- LinkedLinked via arxiv author · 85%Mingyang Huang →
“Wan-Dancer: A Hierarchical Framework for Minute-scale Coherent Music-to-Dance Generation”
- LinkedLinked via arxiv author · 85%Kaipeng Zhang →
“Wan-Dancer: A Hierarchical Framework for Minute-scale Coherent Music-to-Dance Generation”
- LinkedLinked via arxiv author · 85%Li Hu →
“Wan-Dancer: A Hierarchical Framework for Minute-scale Coherent Music-to-Dance Generation”
- LinkedLinked via arxiv author · 85%Guangyuan Wang →
“Wan-Dancer: A Hierarchical Framework for Minute-scale Coherent Music-to-Dance Generation”
- LinkedLinked via arxiv author · 85%Bang Zhang →
“Wan-Dancer: A Hierarchical Framework for Minute-scale Coherent Music-to-Dance Generation”
- PossiblePossibly related (embedding) · 46%Conceptual-Machines/magda-core →
- FuzzyOverlapping authors or contributors · 62%bytedance/deer-flow →
“Shared author/contributor keys: wang”