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 language | English (US) |
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Title of host publication | Proceedings - SIGGRAPH Asia 2023 Conference Papers, SA 2023 |
Editors | Stephen N. Spencer |
Publisher | Association for Computing Machinery, Inc |
ISBN (Electronic) | 9798400703157 |
DOIs | |
State | Published - Dec 10 2023 |
Event | 2023 SIGGRAPH Asia 2023 Conference Papers, SA 2023 - Sydney, Australia Duration: Dec 12 2023 → Dec 15 2023 |
Publication series
Name | Proceedings - SIGGRAPH Asia 2023 Conference Papers, SA 2023 |
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Conference
Conference | 2023 SIGGRAPH Asia 2023 Conference Papers, SA 2023 |
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Country/Territory | Australia |
City | Sydney |
Period | 12/12/23 → 12/15/23 |
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