Evolving Art Through AI: The Journey of Generative Networks

This chapter explores the training of Generative Adversarial Networks (GANs) on a diverse range of Western art styles, revealing a machine tendency towards abstraction that parallels historical artistic evolution. It discusses Creative Adversarial Networks (CANs) and their innovative approaches to generating art that adhere to aesthetic principles while creating new styles. The insights highlight the potential of AI to reflect and enhance the understanding of the art historical progression through sophisticated machine learning techniques.