1 code implementation • 19 Jan 2021 • Kirby Steckel, Jacob Schrum
Generative Adversarial Networks (GANs) are capable of generating convincing imitations of elements from a training set, but the distribution of elements in the training set affects to difficulty of properly training the GAN and the quality of the outputs it produces.
2 code implementations • 27 May 2021 • Jacob Schrum, Benjamin Capps, Kirby Steckel, Vanessa Volz, Sebastian Risi
However, collections of latent vectors can also be evolved directly, producing more chaotic levels.