11 citations · 24 across the 4 of their papers we have counts for
4 papers
Motifs, Phrases, and Beyond: The Modelling of Structure in Symbolic Music Generation
Keshav Bhandari, Simon Colton
Modelling musical structure is vital yet challenging for artificial intelligence systems that generate symbolic music compositions. This literature review dissects the evolution of…
Exploring XAI for the Arts: Explaining Latent Space in Generative Music
Nick Bryan-Kinns, Berker Banar, Corey Ford +4
Explainable AI has the potential to support more interactive and fluid co-creative AI systems which can creatively collaborate with people. To do this, creative AI models need to b…
Towards Mode Balancing of Generative Models via Diversity Weights
Sebastian Berns, Simon Colton, Christian Guckelsberger
Large data-driven image models are extensively used to support creative and artistic work. Under the currently predominant distribution-fitting paradigm, a dataset is treated as gr…
Trash to Treasure: Using text-to-image models to inform the design of physical artefacts
Amy Smith, Hope Schroeder, Ziv Epstein +3
Text-to-image generative models have recently exploded in popularity and accessibility. Yet so far, use of these models in creative tasks that bridge the 2D digital world and the c…