Application of Generative Adversarial Networks and Latent Space Exploration in Music Visualisation

Generative Adversarial Networks (GANs) are a very recent chapter in generative models and music visualisation. This paper explores the application of GANs in music visualisation via latent space exploration using latent directions. The output music visualisation tool is then evaluated via a user study to verify its effectiveness.