  Dance and music typically go hand in hand. The complexities in dance, music,
and their synchronisation make them fascinating to study from a computational
creativity perspective. While several works have looked at generating dance for
a given music, automatically generating music for a given dance remains
under-explored. This capability could have several creative expression and
entertainment applications. We present some early explorations in this
direction. We present a search-based offline approach that generates music
after processing the entire dance video and an online approach that uses a deep
neural network to generate music on-the-fly as the video proceeds. We compare
these approaches to a strong heuristic baseline via human studies and present
our findings. We have integrated our online approach in a live demo! A video of
the demo can be found here:
https://sites.google.com/view/dance2music/live-demo.
