A Physically-inspired Approach to the Simulation of Plant Wilting

Filippo Maggioli, Jonathan Klein, Torsten Hädrich, Emanuele Rodolà, Wojtek Pałubicki, Sören Pirk, Dominik L. Michels

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Plants are among the most complex objects to be modeled in computer graphics. While a large body of work is concerned with structural modeling and the dynamic reaction to external forces, our work focuses on the dynamic deformation caused by plant internal wilting processes. To this end, we motivate the simulation of water transport inside the plant which is a key driver of the wilting process. We then map the change of water content in individual plant parts to branch stiffness values and obtain the wilted plant shape through a position based dynamics simulation. We show, that our approach can recreate measured wilting processes and does so with a higher fidelity than approaches ignoring the internal water flow. Realistic plant wilting is not only important in a computer graphics context but can also aid the development of machine learning algorithms in agricultural applications through the generation of synthetic training data.

Original languageEnglish (US)
Title of host publicationProceedings - SIGGRAPH Asia 2023 Conference Papers, SA 2023
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9798400703157
DOIs
StatePublished - Dec 10 2023
Event2023 SIGGRAPH Asia 2023 Conference Papers, SA 2023 - Sydney, Australia
Duration: Dec 12 2023Dec 15 2023

Publication series

NameProceedings - SIGGRAPH Asia 2023 Conference Papers, SA 2023

Conference

Conference2023 SIGGRAPH Asia 2023 Conference Papers, SA 2023
Country/TerritoryAustralia
CitySydney
Period12/12/2312/15/23

Bibliographical note

Publisher Copyright:
© 2023 Owner/Author.

Keywords

  • Diffusion Models
  • Digital Plants
  • Plant Modeling
  • Plant Wilting
  • Position Based Dynamics (PBD).

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Software
  • Computer Vision and Pattern Recognition

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