Authoring landscapes by combining ecosystem and terrain erosion simulation
Guillaume Cordonnier,Eric Galin,James Gain,Bedrich Benes,Eric Guérin,Adrien Peytavie,Marie-Paule Cani +6 more
TL;DR: A novel framework for interactive landscape authoring that supports bi-directional feedback between erosion and vegetation simulation that can be used not only to generate realistic static landscapes, but also to follow the temporal evolution of a landscape over a few centuries.
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Abstract: We introduce a novel framework for interactive landscape authoring that supports bi-directional feedback between erosion and vegetation simulation. Vegetation and terrain erosion have strong mutual impact and their interplay influences the overall realism of virtual scenes. Despite their importance, these complex interactions have been neglected in computer graphics. Our framework overcomes this by simulating the effect of a variety of geomorphological agents and the mutual interaction between different material and vegetation layers, including rock, sand, humus, grass, shrubs, and trees. Users are able to exploit these interactions with an authoring interface that consistently shapes the terrain and populates it with details. Our method, validated through side-by-side comparison with real terrains, can be used not only to generate realistic static landscapes, but also to follow the temporal evolution of a landscape over a few centuries.
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Citations
Interactive example-based terrain authoring with conditional generative adversarial networks
Eric Guérin,Julie Digne,Eric Galin,Adrien Peytavie,Christian Wolf,Bedrich Benes,Benoît Martinez +6 more
TL;DR: This work proposes an example-based authoring pipeline that uses a set of terrain synthesizers dedicated to specific tasks, each of which is a Conditional Generative Adversarial Network trained by using real-world terrains and their sketched counterparts.
A Review of Digital Terrain Modeling
Eric Galin,Eric Guérin,Adrien Peytavie,Guillaume Cordonnier,Marie-Paule Cani,Bedrich Benes,James Gain +6 more
TL;DR: An overview of current terrain modeling and authoring techniques is provided, organized according to three categories: procedural modeling, physically‐based simulation of erosion and land formation processes, and example‐based methods driven by scanned terrain data.
Terrain Super-resolution through Aerial Imagery and Fully Convolutional Networks
TL;DR: This paper explores different architectures for Fully Convolutional Neural Networks to learn upsampling patterns for DEMs from detailed training sets (high‐resolution DEMs and orthophotos), yielding up to one order of magnitude more resolution.
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Fire in paradise: mesoscale simulation of wildfires
TL;DR: In this paper, the combustion process of individual trees and the resulting propagation of fires at the scale of forests is modeled as a 3D geometric model and a mathematical formulation is proposed to simulate the entire ecosystem.
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