Automatic Generation of Multibiome Topography Based on Climate Modeling DOI
Yu Bai,

Tianhan Gao,

Yushuang Sui

et al.

Published: Dec. 29, 2023

The widespread use of computer graphics technology has inspired a massive demand for virtual landscapes in terms scale and detail. Manually creating huge, realistic terrains with resource-intensive populations would be labor-intensive. Automated programmatic terrain generation become dominant method to reduce manual workload. For some types, existing methods are usually highly specialized, but less work been done on procedural under different eco-climatic conditions. In this paper, we propose an automated generating multi-biome based climate simulation, which can effectively create expansive reasonable ecological clouds spatial features. proposed integrates PCG (Procedural Content Generation) DEM (Digital Elevation Model) simplified simulation model climate, vegetation, topography, ultimately generates topography that used the research fields change, environment, natural resources. experimental results show quickly ecologically terrain.

Language: Английский

TreeSketchNet: From Sketch to 3D Tree Parameters Generation DOI
Gilda Manfredi, Nicola Capece, Ugo Erra

et al.

ACM Transactions on Intelligent Systems and Technology, Journal Year: 2023, Volume and Issue: 14(3), P. 1 - 29

Published: Jan. 9, 2023

3D modeling of non-linear objects from stylized sketches is a challenge even for experts in Computer Graphics (CG). The extrapolation parameters sketch very complex and cumbersome task. In the present study, we propose broker system that mediates between modeler modelling software can transform tree into complete model. input do not need to be accurate or detailed, only represent rudimentary outline wishes 3D-model. Our approach based on well-defined Deep Neural Network (DNN) architecture, called TreeSketchNet (TSN), convolutions able generate Weber Penn interpreted by model starting simple sketch. training dataset consists Synthetically-Generated \revision{(SG)} are associated with Weber-Penn generated dedicated Blender add-on. accuracy proposed method demonstrated testing TSN both synthetic hand-made sketches. Finally, provide qualitative analysis our results, evaluating coherence predicted several distinguishing features.

Language: Английский

Citations

15
Scintilla: Simulating Combustible Vegetation for Wildfires DOI
Andrzej Kokosza, Helge Wrede, Daniel Gonzalez Esparza

et al.

ACM Transactions on Graphics, Journal Year: 2024, Volume and Issue: 43(4), P. 1 - 21

Published: July 19, 2024

Wildfires are a complex physical phenomenon that involves the combustion of variety flammable materials ranging from fallen leaves and dried twigs to decomposing organic material living flora. All these can potentially act as fuel with different properties determine progress severity wildfire. In this paper, we propose novel approach for simulating dynamic interaction between varying components wildfire, including processes convection, heat transfer vegetation, soil atmosphere. We representation vegetation includes detailed branch geometry, moisture, distribution grass, fine fuel, duff. Furthermore, model ignition, generation, transport fire by firebrands embers. This allows rendering virtual 3D wildfires realistically capture key aspects process, such progressions ground crown fires, impact embers carried wind, effects barriers other human intervention methods. evaluate our through numerous experiments based on comparisons real-world wildfire data.

Language: Английский

Citations

4
Rhizomorph: The Coordinated Function of Shoots and Roots DOI Open Access
Bosheng Li, Jonathan Klein, Dominik L. Michels

et al.

ACM Transactions on Graphics, Journal Year: 2023, Volume and Issue: 42(4), P. 1 - 16

Published: July 26, 2023

Computer graphics has dedicated a considerable amount of effort to generating realistic models trees and plants. Many existing methods leverage procedural modeling algorithms - that often consider biological findings generate branching structures individual trees. While the realism tree generated by these steadily increases, most approaches neglect model root system However, not only adds visual but also plays an important role in development In this paper, we advance following ways: First, define physically-plausible soil simulate resource gradients, such as water nutrients. Second, propose novel developmental for roots enables us emergently develop systems adapt various types. Third, long-distance signaling coordinate shoots roots. We show our advanced first time generation with their systems.

Language: Английский

Citations

9
Example-Based Procedural Modeling Using Graph Grammars DOI
Paul Merrell

ACM Transactions on Graphics, Journal Year: 2023, Volume and Issue: 42(4), P. 1 - 16

Published: July 26, 2023

We present a method for automatically generating polygonal shapes from an example using graph grammar. Most procedural modeling techniques use grammars with manually created rules, but our can create them example. Our generate graphs that are locally similar to given disassemble the input into small pieces called primitives and then reassemble new graphs. organize all possible hierarchy find matching within hierarchy. These matches used grammar construct every graph. generates converts planar drawing produce final shape.

Language: Английский

Citations

8
DeepTree: Modeling Trees With Situated Latents DOI
Xiaocheng Zhou, Bosheng Li, Bedřich Beneš

et al.

IEEE Transactions on Visualization and Computer Graphics, Journal Year: 2023, Volume and Issue: 30(8), P. 5795 - 5809

Published: Aug. 23, 2023

In this paper, we propose DeepTree , a novel method for modeling trees based on learning developmental rules branching structures instead of manually defining them. We call our deep neural model "situated latent" because its behavior is determined by the intrinsic state -encoded as latent space model- and extrinsic (environmental) data that "situated" location in 3D tree structure. use network pipeline to train situated allows us locally predict branch growth only single node graph model. representation progressively develop new nodes, thereby mimicking process trees. Starting from root node, generated iteratively querying newly added nodes resulting structure whole tree. Our enables generating wide variety shapes without need define intricate parameters control their behavior. Furthermore, show latents can also be used encode environmental response models, e.g., when grow next obstacles. validate effectiveness measuring similarity models procedurally ones number established metrics form.

Language: Английский

Citations

6
Cyclogenesis: Simulating Hurricanes and Tornadoes DOI
Jorge Alejandro Amador Herrera, Jonathan Klein, Daoming Liu

et al.

ACM Transactions on Graphics, Journal Year: 2024, Volume and Issue: 43(4), P. 1 - 16

Published: July 19, 2024

Cyclones are large-scale phenomena that result from complex heat and water transfer processes in the atmosphere, as well interaction of multiple hydrometeors , i.e., ice particles. When cyclones make landfall, they considered natural disasters spawn dread awe alike. We propose a physically-based approach to describe 3D development visually convincing physically plausible manner. Our allows us capture continuity, turbulent microphysical dynamics hydrometeors, mesoscale cyclonic within planetary boundary layer. Modeling these enables simulate hurricane tornado phenomena. evaluate our simulations quantitatively by comparing real data storm soundings observations landfall climatology research. Additionally, qualitative comparisons previous methods performed validate different parts scheme. In summary, model simulates cyclogenesis comprehensive way interactively render animations some most weather events.

Language: Английский

Citations

2
Three dimensional forest dynamic evolution based on hydraulic erosion and forest fire disturbance DOI
Qingkuo Meng,

Yongjian Huai,

Xiaoying Wang

et al.

Computers & Graphics, Journal Year: 2024, Volume and Issue: unknown, P. 104152 - 104152

Published: Dec. 1, 2024

Language: Английский

Citations

2
Modeling of the 3D Tree Skeleton Using Real-World Data: A Survey DOI
José L. Cárdenas, Carlos J. Ogáyar, Francisco R. Feito

et al.

IEEE Transactions on Visualization and Computer Graphics, Journal Year: 2022, Volume and Issue: 29(12), P. 4920 - 4935

Published: July 21, 2022

Tree modeling has been extensively studied in computer graphics. Recent advances the development of high-resolution sensors and data processing techniques are extremely useful for collecting 3D datasets real-world trees generating increasingly plausible branching structures. The wide availability versatile acquisition platforms allows us to capture multi-view images scanned that can be used guided tree modeling. In this paper, we carry out a comprehensive review state-of-the-art methods botanical geometry by taking input from real scenarios. A range studies proposed following different approaches. most relevant contributions summarized classified into three categories: (1) procedural reconstruction, (2) geometry-based extraction, (3) image-based addition, describe other approaches focused on reconstruction process adding additional features achieve realistic appearance models. Thus, provide an overview effective procedures assist researchers photorealistic appearance. article concludes with remarks trends promising research opportunities using data.

Language: Английский

Citations

9
Why More Biologists Must Embrace Quantitative Modeling DOI
Brook G. Milligan, Ashley T. Rohde

Integrative and Comparative Biology, Journal Year: 2024, Volume and Issue: 64(3), P. 975 - 986

Published: May 13, 2024

Biology as a field has transformed since the time of its foundation from an organized enterprise cataloging diversity natural world to quantitatively rigorous science seeking answer complex questions about functions organisms and their interactions with each other environments. As mathematical rigor biological analyses improved, quantitative models have been developed describe multi-mechanistic systems test hypotheses. However, applications uneven across fields, many biologists lack foundational training necessary apply them in research or interpret results inform problem-solving efforts. This gap scientific created false dichotomy "biologists" "modelers" that only exacerbates barriers working additional modeling. Here, we make argument all are modelers capable using sophisticated modeling work. We highlight four benefits conducting within framework models, identify potential producers consumers information produced by such recommendations for strategies overcome widespread implementation. Improved understanding could guide better measurements through evaluate mechanisms, allow judge quality they receive. our explanations phenomena increase complexity, so too must embrace skill.

Language: Английский

Citations

1
FastFlow: GPU Acceleration of Flow and Depression Routing for Landscape Simulation DOI
Aryamaan Jain, Bernhard Kerbl, James Gain

et al.

Computer Graphics Forum, Journal Year: 2024, Volume and Issue: 43(7)

Published: Oct. 1, 2024

Abstract Terrain analysis plays an important role in computer graphics, hydrology and geomorphology. In particular, analyzing the path of material flow over a terrain with consideration local depressions is precursor to many further tasks erosion, river formation, plant ecosystem simulation. For example, fluvial erosion simulation used modeling computes water discharge repeatedly locate channels for soil removal transport. Despite its significance, traditional methods face performance constraints, limiting their broader applicability. this paper, we propose novel GPU routing algorithm that 𝒪( log n) iterations n vertices (assuming processors). We also provide depression route out minima formed by terrain, which converges 2 iterations. Our implementation these algorithms leads 5× speedup 34 × 52 compared previous work on 1024 enabling interactive control

Language: Английский

Citations

1