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Exploring Bridges Between Algorithmic and AI-generated Art
June 08, 2024 Β· Declared Dead Β· π EvoMUSART
"No code URL or promise found in abstract"
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Authors
Jiaqi Wu, Eytan Adar
arXiv ID
2406.05508
Category
cs.HC: Human-Computer Interaction
Citations
0
Venue
EvoMUSART
Last Checked
5 months ago
Abstract
In this paper, we bridge algorithmic and AI art by adding functionality to the creative coding environment. We create two systems that demonstrate how AI features can enhance algorithmic art and, conversely, how AI art can be styled based on algorithmically-generated artifacts. The first library, GenP5, extends p5.js to allow the artist to apply diffusion models to style and 'condition' their algorithmically-constructed art. The second, P52Style, can learn the 'style' of an algorithmically generated artifact and apply that when creating new AI art.
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