Part of an ongoing series of works training different configurations of generative neural networks (GANs) without any data.
In this current configuration [1:1] two generator networks are trying to generate images that imitate each other while not being limited by the other network. At the same time, they are also competing to have produce more variation in the colours they produce. In this arrangement, the networks quickly converge into producing these abstract compositions.
