A step towards procedural terrain generation with GANs

Beckham, Christopher, Pal, Christopher

arXiv.org Machine Learning 

Procedural terrain generation for video games has been traditionally been done with smartly designed but handcrafted algorithms that generate heightmaps. We propose a first step toward the learning and synthesis of these using recent advances in deep generative modelling with openly available satellite imagery from NASA.

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