DanceGen: Supporting Choreography Ideation and Prototyping with Generative AI
Yimeng Liu, Misha Sra

TL;DR
DanceGen is an AI-powered tool designed to assist choreographers during the preparation stage by supporting ideation, prototyping, and documentation, thereby enhancing creativity and efficiency in dance creation.
Contribution
This work introduces an interactive AI system for choreographic ideation and prototyping, addressing a gap in digital tools for the initial choreography preparation stage.
Findings
Users reported increased creative efficiency
System expanded creative possibilities
Identified areas for interface and workflow improvements
Abstract
Choreography creation requires high proficiency in artistic and technical skills. Choreographers typically go through four stages to create a dance piece: preparation, studio, performance, and reflection. This process is often individualized, complicated, and challenging due to multiple constraints at each stage. To assist choreographers, most prior work has focused on designing digital tools to support the last three stages of the choreography process, with the preparation stage being the least explored. To address this research gap, we introduce an AI-based approach to assist the preparation stage by supporting ideation, creating choreographic prototypes, and documenting creative attempts and outcomes. We address the limitations of existing AI-based motion generation methods for ideation by allowing generated sequences to be edited and modified in an interactive web interface. This…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
