Synthesizing human motion through learning techniques is becoming an increasingly
popular approach to alleviating the requirement of new data capture to produce animations.
Learning to move naturally from music, ie, to dance, is one of the more complex motions
humans often perform effortlessly. Each dance movement is unique, yet such movements
maintain the core characteristics of the dance style. Most approaches addressing this
problem with classical convolutional and recursive neural models undergo training and …