Forming Terrains by Glacial Erosion
- Others:
- GRAPHics and DEsign with hEterogeneous COntent (GRAPHDECO) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- Université de Lausanne = University of Lausanne (UNIL)
- Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS) ; Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL) ; Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL) ; Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon) ; Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)
- German Research Centre for Geosciences - Helmholtz-Centre Potsdam (GFZ)
- Institute of Earth and Environmental Science, University of Potsdam
- Laboratoire d'informatique de l'École polytechnique [Palaiseau] (LIX) ; École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)
- Institut Polytechnique de Paris (IP Paris)
- Purdue University [West Lafayette]
- University of Cape Town
- USDA NIFA, Award #2023-68012-38992 grant "Promoting Economic Resilience and Sustainability of the Eastern U.S. Forests"
- Hi!Paris's fellowship on Creative AI
- National Research Foundation of South Africa (Grant Number 129257)
- ANR-22-CE33-0012,INVTERRA,Contrôle inverse de terrains cohérents physiquement(2022)
- ANR-20-CE23-0001,AMPLI,Mondes virtuels vastes : apprentissage et modélisation procédurale inverse(2020)
Description
We introduce the first solution for simulating the formation and evolution of glaciers, together with their attendant erosive effects, for periods covering the combination of glacial and inter-glacial cycles. Our efficient solution includes both a fast yet accurate deep learning-based estimation of highorder ice flows and a new, multi-scale advection scheme enabling us to account for the distinct time scales at which glaciers reach equilibrium compared to eroding the terrain. We combine the resulting glacial erosion model with finer-scale erosive phenomena to account for the transport of debris flowing from cliffs. This enables us to model the formation of terrain shapes not previously adequately modeled in Computer Graphics, ranging from U-shaped and hanging valleys to fjords and glacial lakes. CCS Concepts: • Computing methodologies → Shape modeling.
Abstract
International audience
Additional details
- URL
- https://inria.hal.science/hal-04090644
- URN
- urn:oai:HAL:hal-04090644v1
- Origin repository
- UNICA