Forming Terrains by Glacial Erosion

Article Computer Science, Software Engineering

Large-scale Terrain Authoring through Interactive Erosion Simulation

Hugo Schott et al.

Summary: This article introduces a framework that combines large-scale erosion simulation and authoring techniques, providing hydrological consistency without sacrificing user control for terrain creation.

ACM TRANSACTIONS ON GRAPHICS (2023)

添加到收藏夹

Article Computer Science, Software Engineering

Procedural generation of 3D karst caves with speleothems

Kai Franke et al.

Summary: This paper presents a comprehensive method for generating natural looking virtual karst caves. The method efficiently models the network and local shape of cave passages, the appearance of the wall surface, and speleothems like stalactites. It demonstrates that virtual karst caves can be generated with practical computing time and memory requirements, and can be interactively visualized and explored.

COMPUTERS & GRAPHICS-UK (2022)

添加到收藏夹

Article Geography, Physical

Modelling alpine glacier geometry and subglacial erosion patterns in response to contrasting climatic forcing

Fabio Magrani et al.

Summary: Climate plays a primary role in shaping glacier geometry and dynamics, with challenges in extracting climate data from paleo-glaciers. The study demonstrates the significant influence of climate on glacier length and thickness, emphasizing the importance of ice flux in predicting glacier geometry.

EARTH SURFACE PROCESSES AND LANDFORMS (2022)

添加到收藏夹

Article Geography, Physical

Deep learning speeds up ice flow modelling by several orders of magnitude

Guillaume Jouvet et al.

Summary: This paper introduces a model called Instructed Glacier Model (IGM), which simulates ice dynamics using a Convolutional Neural Network and a cheap emulator trained from data. It can predict the evolution of glaciers accurately and efficiently.

JOURNAL OF GLACIOLOGY (2022)

添加到收藏夹

Article Computer Science, Software Engineering

Gradient Terrain Authoring

Eric Guerin et al.

Summary: This paper proposes a method for digital terrain representation based on the gradient domain, which is height independent and allows blending of disparate landforms. The approach provides artists with a complete toolbox and executes in real-time, promoting productive cycles of iterative authoring.

COMPUTER GRAPHICS FORUM (2022)

添加到收藏夹

Article Computer Science, Software Engineering

Synthesizing Geologically Coherent Cave Networks

A. Paris et al.

Summary: The method presented in the text uses field data, geomorphological features, and parameters to compute skeletons of karstic networks and define geometry of conduits. The framework allows multiple levels of control for authoring the structure and details of the generated conduits.

COMPUTER GRAPHICS FORUM (2021)

添加到收藏夹

Article Engineering, Multidisciplinary

A physics-guided neural network framework for elastic plates: Comparison of governing equations-based and energy-based approaches

Wei Li et al.

Summary: This study establishes a neural network-based computational framework to characterize the finite deformation of elastic plates by incorporating known physical laws into the training process, reducing the data demand significantly. The accuracy of the modeling framework is carefully examined by applying it to different loading cases, showing satisfactory results with proper training strategies.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2021)

添加到收藏夹

Article Computer Science, Software Engineering