  Since the introduction of Generative Adversarial Networks (GANs) [Goodfellow
et al., 2014] there has been a regular stream of both technical advances (e.g.,
Arjovsky et al. [2017]) and creative uses of these generative models (e.g.,
[Karras et al., 2019, Zhu et al., 2017, Jin et al., 2017]). In this work we
propose an approach for using the power of GANs to automatically generate
videos to accompany audio recordings by aligning to spectral properties of the
recording. This allows musicians to explore new forms of multi-modal creative
expression, where musical performance can induce an AI-generated musical video
that is guided by said performance, as well as a medium for creating a visual
narrative to follow a storyline (similar to what was proposed by Frosst and
Kereliuk [2019]).
