Evolved Art with Transparent, Overlapping, and Geometric Shapes

April 12, 2019 ยท Declared Dead ยท ๐Ÿ› NAIS

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Authors Joachim Berg, Nils Gustav Andreas Berggren, Sivert Allergodt Borgeteien, Christian Ruben Alexander Jahren, Arqam Sajid, Stefano Nichele arXiv ID 1904.06110 Category cs.NE: Neural & Evolutionary Cross-listed cs.AI Citations 7 Venue NAIS Last Checked 4 months ago
Abstract
In this work, an evolutionary art project is presented where images are approximated by transparent, overlapping and geometric shapes of different types, e.g., polygons, circles, lines. Genotypes representing features and order of the geometric shapes are evolved with a fitness function that has the corresponding pixels of an input image as a target goal. A genotype-to-phenotype mapping is therefore applied to render images, as the chosen genetic representation is indirect, i.e., genotypes do not include pixels but a combination of shapes with their properties. Different combinations of shapes, quantity of shapes, mutation types and populations are tested. The goal of the work herein is twofold: (1) to approximate images as precisely as possible with evolved indirect encodings, (2) to produce visually appealing results and novel artistic styles.
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