Exploring Bridges Between Algorithmic and AI-Generated Art

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Jiaqi Wu, Eytan Adar

Published: 01 Jan 2025, Last Modified: 06 Nov 2025EvoMUSART 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
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. We provide all the code, demos, and art examples at https://github.com/KolvacS-W/GenP5-P52Style.