GAN applied to Wave Function Collapse for procedural map generation
Alain Lioret, Nicolas Ruche, Etienne Gibiat, Cédric Chopin · 2022
This paper describes the use of Generative Adversarial Network (GAN) applied to the Wave Function Collapse (WFC) algorithm for procedural content generation. The goal of this system is to enable level designers to generate coherent 3D worlds with brand new meshes generated by the GAN.