Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Llano, María Teresa"'
This paper presents a study on the use of a real-time music-to-image system as a mechanism to support and inspire musicians during their creative process. The system takes MIDI messages from a keyboard as input which are then interpreted and analysed
Externí odkaz:
http://arxiv.org/abs/2407.05584
This paper presents the design and initial assessment of a novel device that uses generative AI to facilitate creative ideation, inspiration, and reflective thought. Inspired by magnetic poetry, which was originally designed to help overcome writer's
Externí odkaz:
http://arxiv.org/abs/2407.11984
Music has been identified as a promising medium to enhance the accessibility and experience of visual art for people who are blind or have low vision (BLV). However, composing music and designing soundscapes for visual art is a time-consuming, resour
Externí odkaz:
http://arxiv.org/abs/2405.14188
Recent developments in prompt-based generative AI has given rise to discourse surrounding the perceived ethical concerns, economic implications, and consequences for the future of cultural production. As generative imagery becomes pervasive in mainst
Externí odkaz:
http://arxiv.org/abs/2403.01783
Image generation using generative AI is rapidly becoming a major new source of visual media, with billions of AI generated images created using diffusion models such as Stable Diffusion and Midjourney over the last few years. In this paper we collect
Externí odkaz:
http://arxiv.org/abs/2401.14425
Autor:
McCormack, Jon, Gambardella, Camilo Cruz, Rajcic, Nina, Krol, Stephen James, Llano, Maria Teresa, Yang, Meng
In recent years Generative Machine Learning systems have advanced significantly. A current wave of generative systems use text prompts to create complex imagery, video, even 3D datasets. The creators of these systems claim a revolution in bringing cr
Externí odkaz:
http://arxiv.org/abs/2301.13049
Publikováno v:
Artificial Intelligence in Music, Sound, Art and Design - 11th International Conference, EvoMUSART 2022, Held as Part of EvoStar 2022
Open AI's language model, GPT-3, has shown great potential for many NLP tasks, with applications in many different domains. In this work we carry out a first study on GPT-3's capability to communicate musical decisions through textual explanations wh
Externí odkaz:
http://arxiv.org/abs/2206.08264
Autor:
Colton, Simon, Llano, Maria Teresa, Hepworth, Rose, Charnley, John, Gale, Catherine V., Baron, Archie, Pachet, Francois, Roy, Pierre, Gervas, Pablo, Collins, Nick, Sturm, Bob, Weyde, Tillman, Wolff, Daniel, Lloyd, James Robert
Publikováno v:
The Seventh International Conference on Computational Creativity, {ICCC} 2016
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 pro
Externí odkaz:
http://arxiv.org/abs/2206.03224
Autor:
Llano, Maria Teresa, d'Inverno, Mark, Yee-King, Matthew, McCormack, Jon, Ilsar, Alon, Pease, Alison, Colton, Simon
Publikováno v:
International Conference on Computational Creativity, 2020, 334-341
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
Externí odkaz:
http://arxiv.org/abs/2205.05682
Autor:
Grov, Gudmund, Ireland, Andrew, Llano, Maria Teresa, Kovacs, Peter, Colton, Simon, Gow, Jeremy
Refinement based formal methods allow the modelling of systems through incremental steps via abstraction. Discovering the right levels of abstraction, formulating correct and meaningful invariants, and analysing faulty models are some of the challeng
Externí odkaz:
http://arxiv.org/abs/1603.00636