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research-article

Procedural Urban Forestry

Authors:

Matthias Albrecht,

Oliver DeussenAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 41, Issue 2

Article No.: 20, Pages 1 - 18

https://doi.org/10.1145/3502220

Published: 03 March 2022 Publication History

Abstract

The placement of vegetation plays a central role in the realism of virtual scenes. We introduce procedural placement models (PPMs) for vegetation in urban layouts. PPMs are environmentally sensitive to city geometry and allow identifying plausible plant positions based on structural and functional zones in an urban layout. PPMs can either be directly used by defining their parameters or learned from satellite images and land register data. This allows us to populate urban landscapes with complex 3D vegetation and enhance existing approaches for generating urban landscapes. Our framework’s effectiveness is shown through examples of large-scale city scenes and close-ups of individually grown tree models. We validate the results generated with our framework with a perceptual user study and its usability based on urban scene design sessions with expert users.

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Cited By

Pearl OLang IHu YYeh RHanocka R(2025)GeoCode: Interpretable Shape ProgramsComputer Graphics Forum10.1111/cgf.15276Online publication date: 12-Feb-2025
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Gong HSun QFang CSun LSu R(2024)TreeDetector: Using Deep Learning for the Localization and Reconstruction of Urban Trees from High-Resolution Remote Sensing ImagesRemote Sensing10.3390/rs1603052416:3(524)Online publication date: 30-Jan-2024
https://doi.org/10.3390/rs16030524
Qin YZhao NSheng BLau RWooldridge MDy JNatarajan S(2024)Text2CityProceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence and Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence and Fourteenth Symposium on Educational Advances in Artificial Intelligence10.1609/aaai.v38i5.28257(4578-4586)Online publication date: 20-Feb-2024
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Index Terms

Procedural Urban Forestry
1. Computing methodologies
  1. Computer graphics
    1. Shape modeling
      1. Shape analysis
2. Theory of computation
  1. Formal languages and automata theory
    1. Formalisms
      1. Rewrite systems
    2. Grammars and context-free languages

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cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 41, Issue 2

April 2022

197 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/3501283

Editor:
Carol O'Sullivan
Trinity College Dublin, Ireland

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Publication History

Published: 03 March 2022

Accepted: 01 November 2021

Revised: 01 November 2021

Received: 01 January 2021

Published in TOG Volume 41, Issue 2

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Cited By

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https://doi.org/10.1111/cgf.15276
Gong HSun QFang CSun LSu R(2024)TreeDetector: Using Deep Learning for the Localization and Reconstruction of Urban Trees from High-Resolution Remote Sensing ImagesRemote Sensing10.3390/rs1603052416:3(524)Online publication date: 30-Jan-2024
https://doi.org/10.3390/rs16030524
Qin YZhao NSheng BLau RWooldridge MDy JNatarajan S(2024)Text2CityProceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence and Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence and Fourteenth Symposium on Educational Advances in Artificial Intelligence10.1609/aaai.v38i5.28257(4578-4586)Online publication date: 20-Feb-2024
https://dl.acm.org/doi/10.1609/aaai.v38i5.28257
Xiao ZJiang HDeng ZLi RHan WWang Z(2024)Large Scale Farm Scene Modeling from Remote Sensing ImageryACM Transactions on Graphics10.1145/368791843:6(1-12)Online publication date: 19-Dec-2024
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Liu JZhang SZhang CZhang SCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Controllable Procedural Generation of LandscapesProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681129(6394-6403)Online publication date: 28-Oct-2024
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Peytavie AGain JGuérin EArgudo OGalin E(2024)DeadWood: Including Disturbance and Decay in the Depiction of Digital NatureACM Transactions on Graphics10.1145/364181643:2(1-19)Online publication date: 14-Feb-2024
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Zhou XLi BBenes BFei SPirk S(2024)DeepTree: Modeling Trees With Situated LatentsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.330788730:8(5795-5809)Online publication date: 1-Aug-2024
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Li YLiu ZBenes BZhang XGuo J(2024)SVDTree: Semantic Voxel Diffusion for Single Image Tree Reconstruction2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.00449(4692-4702)Online publication date: 16-Jun-2024
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