Convolutional neural networks (CNN) trained from high-order ice-flow model realisations
have proven to be outstanding emulators in terms of fidelity and computational performance …

Erosion simulation is a common approach used for generating and authoring mountainous
terrains. While water is considered the primary erosion factor, its simulation fails to capture …

Various terrain modelling methods have been proposed for the past decades, providing
efficient and often interactive authoring tools. However, they seldom include any notion of …

Human and animal presence in natural landscapes is initially revealed by the immediate
impact of their locomotion, from footprints to crushed grass. In this work, we present an …

Modeling high-resolution terrains is a perennial challenge in the creation of virtual worlds. In
this paper, we focus on the amplification of a low-resolution input terrain into a high …

Terrain generation methods have long been divided between procedural and physically‐
based. Procedural methods build upon the fast evaluation of a mathematical function but …

While the past of terrain cannot be known precisely because an effect can result from many
different causes, exploring these possible pasts opens the way to numerous applications …

Landscapes, recognized for their indispensable role in large-scale scenes, are experiencing
growing demand. However, the manual modeling of such content is labor-intensive and …

This paper presents the first method for synthesizing seasonal transition of terrain textures
for an input heightfield. Our method reproduces a seamless transition of terrain textures …

In this paper, we present a novel particle-based method for simulating erosion on various
terrain representations, including height fields, voxel grids, material layers, and implicit …