Abstract:
Imitation is the sincerest form of flattery. New forms of imitation are constantly being introduced. With the rise of artificial intelligence and its sub-field of machine learning, machines can be taught how to create new data after being trained on existing data. A recent development within the field of computer-generated data powered by machine learning was found in the introduction of Generative Adversarial Networks (GANs). This research focuses on an analysis of the overlap of features between GAN-generated images and original works by Paul Cézanne. Furthermore, the research discusses how the computer-based adoptions of Cézanne’s works can be related to theories of imitation and simulation.
