RESEARCH

COMPUTER VISION

Feel The Music: Automatically Generating A Dance For An Input Song

July 14, 2020

Abstract

We present a general computational approach that enables a machine to generate a dance for any input music. We encode intuitive, flexible heuristics for what a ‘good’ dance is: the structure of the dance should align with the structure of the music. This flexibility allows the agent to discover creative dances. Human studies show that participants find our dances to be more creative and inspiring compared to meaningful baselines. We also evaluate how perception of creativity changes based on different presentations of the dance. Our code is available at github.com/purvaten/feel-the-music.

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AUTHORS

Written by

Devi Parikh

Abhishek Das

Aniruddha Kembhavi

Purva Tendulkar

Publisher

International Conference on Computational Creativity (ICCC)

Research Topics

Computer Vision

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