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.
Authors: Purva Tendulkar, Abhishek Das, Aniruddha Kembhavi, Devi Parikh
Paper: Feel The Music: Automatically Generating A Dance For An Input Song (ICCC 2020)
The abstract patterns designed using: stateoftheheart.ai
Example dances: Click here
Demo built by: Samyak Kumar with help from Rishabh Jain