Procedural terrain generation with style transfer

arXiv:2403.08782v1 Announce Type: new
Abstract: In this study we introduce a new technique for the generation of terrain maps, exploiting a combination of procedural generation and Neural Style Transfer. We consider our approach to be a viable alternative to competing generative models, with our technique achieving greater versatility, lower hardware requirements and greater integration in the creative process of designers and developers. Our method involves generating procedural noise maps using either multi-layered smoothed Gaussian noise or the Perlin algorithm. We …

abstract arxiv combination cs.ai cs.cv generative generative models hardware integration maps requirements study style style transfer transfer type