no code implementations • 12 Mar 2024 • Keshav Bhandari, Simon Colton
Modelling musical structure is vital yet challenging for artificial intelligence systems that generate symbolic music compositions.
1 code implementation • 10 Aug 2023 • Nick Bryan-Kinns, Berker Banar, Corey Ford, Courtney N. Reed, Yixiao Zhang, Simon Colton, Jack Armitage
We increase the explainability of the model by: i) using latent space regularisation to force some specific dimensions of the latent space to map to meaningful musical attributes, ii) providing a user interface feedback loop to allow people to adjust dimensions of the latent space and observe the results of these changes in real-time, iii) providing a visualisation of the musical attributes in the latent space to help people understand and predict the effect of changes to latent space dimensions.
1 code implementation • 24 Apr 2023 • Sebastian Berns, Simon Colton, Christian Guckelsberger
Large data-driven image models are extensively used to support creative and artistic work.
no code implementations • 1 Feb 2023 • Amy Smith, Hope Schroeder, Ziv Epstein, Michael Cook, Simon Colton, Andrew Lippman
Text-to-image generative models have recently exploded in popularity and accessibility.
no code implementations • 11 May 2022 • Maria Teresa Llano, Mark d'Inverno, Matthew Yee-King, Jon McCormack, Alon Ilsar, Alison Pease, Simon Colton
Human collaboration with systems within the Computational Creativity (CC) field is often restricted to shallow interactions, where the creative processes, of systems and humans alike, are carried out in isolation, without any (or little) intervention from the user, and without any discussion about how the unfolding decisions are taking place.
no code implementations • 11 May 2022 • Simon Colton, Maria Teresa Llano, Rose Hepworth, John Charnley, Catherine V. Gale, Archie Baron, Francois Pachet, Pierre Roy, Pablo Gervas, Nick Collins, Bob Sturm, Tillman Weyde, Daniel Wolff, James Robert Lloyd
During 2015 and early 2016, the cultural application of Computational Creativity research and practice took a big leap forward, with a project where multiple computational systems were used to provide advice and material for a new musical theatre production.
no code implementations • 12 Jul 2021 • Terence Broad, Sebastian Berns, Simon Colton, Mick Grierson
Generative deep learning systems offer powerful tools for artefact generation, given their ability to model distributions of data and generate high-fidelity results.
no code implementations • 5 Jul 2021 • Sebastian Berns, Terence Broad, Christian Guckelsberger, Simon Colton
The framework provides opportunities to hand over creative responsibilities to a generative system as targets for automation.
1 code implementation • 10 May 2021 • Alexander Hagg, Sebastian Berns, Alexander Asteroth, Simon Colton, Thomas Bäck
We consider multi-solution optimization and generative models for the generation of diverse artifacts and the discovery of novel solutions.
no code implementations • 6 Mar 2019 • Dilpreet Singh, Nina Rajcic, Simon Colton, Jon McCormack
Using a visual similarity search for image retrieval, the \emph{Camera Obscurer} app enables rapid searching of tens of thousands of generated abstract images of various types.
no code implementations • 4 Mar 2018 • Swen E. Gaudl, Mark J. Nelson, Simon Colton, Rob Saunders, Edward J. Powley, Peter Ivey, Blanca Perez Ferrer, Michael Cook
We present here a new type of mobile app -- fluidic games -- and illustrate our iterative approach to their design.
no code implementations • 9 Jun 2017 • Michael Cook, Adam Summerville, Simon Colton
MOBAs represent a huge segment of online gaming and are growing as both an eSport and a casual genre.
no code implementations • 25 Jul 2015 • Azlan Iqbal, Matej Guid, Simon Colton, Jana Krivec, Shazril Azman, Boshra Haghighi
It uses selected attributes from objects in various domains (e. g. chess problems, classical music, renowned artworks) and recombines them in such a way as to generate new attributes that can then, in principle, be used to create novel objects of creative value to humans relating to any one of the source domains.
no code implementations • 3 Nov 2014 • Joseph Corneli, Anna Jordanous, Christian Guckelsberger, Alison Pease, Simon Colton
We conclude that it is feasible to equip computational systems with the potential for serendipity, and that this could be beneficial in varied computational creativity/AI applications, particularly those designed to operate responsively in real-world contexts.
1 code implementation • IEEE Transactions on Computational Intelligence and AI in Games 2012 • Cameron B. Browne, Edward Powley, Daniel Whitehouse, Simon M. Lucas, Peter I. Cowling, Philipp Rohlfshagen, Stephen Tavener, Diego Perez, Spyridon Samothrakis, Simon Colton
Monte Carlo Tree Search (MCTS) is a recently proposed search method that combines the precision of tree search with the generality of random sampling.