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Whilst there are perhaps only a few scientific methods, there seem to bealmost as many artistic methods as there are artists. Artistic processes appearto inhabit the highest order of open-endedness. To begin to understand some ofthe processes of art making it is helpful to try to automate them evenpartially. In this paper, a novel algorithm for producing generative art isdescribed which allows a user to input a text string, and which in a creativeresponse to this string, outputs an image which interprets that string. It doesso by evolving images using a hierarchical neural Lindenmeyer system, andevaluating these images along the way using an image text dual encoder trainedon billions of images and their associated text from the internet. In doing sowe have access to and control over an instance of an artistic process, allowinganalysis of which aspects of the artistic process become the task of thealgorithm, and which elements remain the responsibility of the artist.

Generative Art Using Neural Visual Grammars and Dual Encoders