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Wan-Dancer introduces a hierarchical framework for generating minute-scale coherent dances from music, addressing long-duration choreography generation.
A study on AI-generated synthetic choreographies, exploring the creation of dance movements using artificial intelligence.
This article explores post-human choreographic studies utilizing the Seedance 2.0 model, examining the intersection of AI-generated movement and human performance.