Researchers have introduced Wan-Dancer, a novel framework capable of generating long-duration, high-quality dance videos from music. This method ensures temporal continuity and global structure by decoupling the process into global keyframe planning and local temporal refinement, utilizing full-track musical context. The model weights and inference code have been released, allowing users to experiment with the technology on platforms like Hugging Face and ModelScope. AI
IMPACT Enables generation of long-form, coherent dance videos from music, potentially impacting creative industries and AI-driven content creation.
RANK_REASON The item describes a new method and released model weights for music-to-dance generation, including a paper citation and code. [lever_c_demoted from research: ic=1 ai=1.0]
Read on Hugging Face Trending Models →
- Bang Zhang
- Guangyuan Wang
- Hugging Face
- Mingyang Huang
- ModelScope
- Peng Zhang
- Wan-AI/Wan-Dancer-14B
- Wan-Dancer
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