Abstract

We present a system built to generate arrangements of three-dimensional models for aesthetic evaluation, with the aim to support an artist in their creative process. We explore how this system can automatically generate aesthetically pleasing content for use in the media and design industry, based on standards originally developed in master artworks. We demonstrate the effectiveness of our process in the context of paintings using a collection of images inspired by the work of the artist Giorgio Morandi (Bologna, 1890 -- 1964). Finally, we compare the results of our system with the results of a well-known Generative Adversarial Network (GAN).

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