Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning

Understand

Dancing to music is one of human's innate abilities since ancient times.

• In machine learning research, however, synthesizing dance movements from music is a challenging problem.
• Recently, researchers synthesize human motion sequences through autoregressive models like recurrent neural network (RNN).
• Such an approach often generates short sequences due to an accumulation of prediction errors that are fed back into the neural network.