26 citations · 29 across the 8 of their papers we have counts for
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cs.NE2020★ 26 cited
CPPN2GAN: Combining Compositional Pattern Producing Networks and GANs for Large-scale Pattern Generation
Jacob Schrum, Vanessa Volz, Sebastian Risi
Generative Adversarial Networks (GANs) are proving to be a powerful indirect genotype-to-phenotype mapping for evolutionary search, but they have limitations. In particular, GAN ou…
cs.NE2020
Interactive Evolution and Exploration Within Latent Level-Design Space of Generative Adversarial Networks
Jacob Schrum, Jake Gutierrez, Vanessa Volz +3
Generative Adversarial Networks (GANs) are an emerging form of indirect encoding. The GAN is trained to induce a latent space on training data, and a real-valued evolutionary algor…
cs.AI2020
Generative Adversarial Network Rooms in Generative Graph Grammar Dungeons for The Legend of Zelda
Jake Gutierrez, Jacob Schrum
Generative Adversarial Networks (GANs) have demonstrated their ability to learn patterns in data and produce new exemplars similar to, but different from, their training set in sev…