Coevolving Artistic Images Using OMNIREP

January 20, 2024 ยท Declared Dead ยท ๐Ÿ› EvoMUSART

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Authors Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz arXiv ID 2401.11167 Category cs.NE: Neural & Evolutionary Citations 1 Venue EvoMUSART Last Checked 4 months ago
Abstract
We have recently developed OMNIREP, a coevolutionary algorithm to discover both a representation and an interpreter that solve a particular problem of interest. Herein, we demonstrate that the OMNIREP framework can be successfully applied within the field of evolutionary art. Specifically, we coevolve representations that encode image position, alongside interpreters that transform these positions into one of three pre-defined shapes (chunks, polygons, or circles) of varying size, shape, and color. We showcase a sampling of the unique image variations produced by this approach.
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