A Music-driven Framework for Human Motion Synthesizing with a Global Structure
Rhythm is a Dancer: Music-Driven Motion Synthesis with Global Structure
We present a music-driven motion synthesis framework that generates long-term sequences of human motions which are synchronized with the input beats, and jointly form a global structure that respects a specific dance genre.
Our framework enables generation of diverse motions that are controlled by the content of the music, and not only by the beat.
Our results demonstrate the effectiveness of our music-driven framework to generate natural and consistent movements on various dance types, having control over the content of the synthesized motions, and respecting the overall structure of the dance.
Synthesizing human motion with a global structure, such as a choreography, is a challenging task.
Existing methods tend to concentrate on local smooth posetransitions and neglect the global context or the theme of the motion.
This work presents a music-driven motion synthesis framework that generates long-term sequences of human motions which are synchronized with the inputbeats, and jointly form a global structure that respects a specific dance genre.
Our results demonstrate the effectiveness of our music-driven framework to generate natural and consistent movements on various dance types, having control over the content of the synthesized motions, and respecting the overall structure of the dance.
Synthesizing human motion with a global structure, such as a choreography, is a challenging task.
Existing methods tend to concentrate on local smooth posetransitions and neglect the global context or the theme of the motion.
This work presents a music-driven motion synthesis framework that generates long-term sequences of human motions which are synchronized with the inputbeats, and jointly form a global structure that respects a specific dance genre.
Authors
Andreas Aristidou, Anastasios Yiannakidis, Kfir Aberman, Daniel Cohen-Or, Ariel Shamir, Yiorgos Chrysanthou