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Rhythm is a Dancer: Music-Driven Motion Synthesis With Global Structure.

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    Summary
    This summary is machine-generated.

    This study introduces a music-driven framework for synthesizing human motion, creating dance sequences that align with music beats and genre structures. The system generates diverse, coherent motions controlled by musical content, not just rhythm.

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    Area of Science:

    • Computer Vision
    • Artificial Intelligence
    • Computational Creativity

    Background:

    • Synthesizing human motion, especially with global structure like choreography, is complex.
    • Current methods often prioritize local pose smoothness over global context or thematic coherence.
    • Integrating music's thematic content into motion synthesis remains a challenge.

    Purpose of the Study:

    • To develop a music-driven motion synthesis framework for generating long-term, synchronized human dance sequences.
    • To ensure generated motions respect specific dance genres and global structural elements.
    • To enable motion diversity controlled by music content beyond just beat synchronization.

    Main Methods:

    • A hierarchical framework with three levels: pose (LSTM for temporal coherence), motif (motion perceptual loss for genre-specific movements), and choreography (genre-based structure selection).
    • Utilizing a novel motion perceptual loss to guide movement generation within specific distributions.
    • Employing a Long Short-Term Memory (LSTM) component for temporally coherent pose generation.

    Main Results:

    • The framework successfully generates natural and consistent human motion sequences across various dance types.
    • Demonstrated control over the content of synthesized motions, influenced by musical elements.
    • Successfully respected the overall global structure and genre of different dance styles.

    Conclusions:

    • The music-driven framework effectively synthesizes human motion with global structure and genre adherence.
    • The system offers control over motion content and diversity, synchronized with music.
    • This approach advances music-driven dance synthesis by integrating local, motif, and choreographic levels.