2016/10/11 by Yann Thorimbert, Thorimbert, Yann, Bastien Chopard +1
Computer Science · Environmental Science · #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #Graphics (cs.GR) #Music Technology and Sound Studies #Plant Water Relations and Carbon Dynamics #cs.GR
paper · pdf · doi:10.48550/arxiv.1610.03525
27 pages, 15 figures
openalex publication_date 2016/10/11 · arxiv created 2018/12/05 · arxiv updated 2018/12/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
A new method is presented, allowing for the generation of 3D terrain and texture from coherent noise. The method is significantly faster than prevailing fractal brownian motion approaches, while producing results of equivalent quality. The algorithm is derived through a systematic approach that generalizes to an arbitrary number of spatial dimensions and gradient smoothness. The results are compared, in terms of performance and quality, to fundamental and efficient gradient noise methods widely used in the domain of fast terrain generation: Perlin noise and OpenSimplex noise. Finally, to objectively quantify the degree of realism of the results, a fractal analysis of the generated landscapes is performed and compared to real terrain data.