@inproceedings{9345d4a92046419c93d55378dbc145fe,
title = "A Physically-inspired Approach to the Simulation of Plant Wilting",
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.",
keywords = "Diffusion Models, Digital Plants, Plant Modeling, Plant Wilting, Position Based Dynamics (PBD).",
author = "Filippo Maggioli and Jonathan Klein and Torsten H{\"a}drich and Emanuele Rodol{\`a} and Wojtek Pa{\l}ubicki and S{\"o}ren Pirk and Michels, {Dominik L.}",
note = "Publisher Copyright: {\textcopyright} 2023 Owner/Author.; 2023 SIGGRAPH Asia 2023 Conference Papers, SA 2023 ; Conference date: 12-12-2023 Through 15-12-2023",
year = "2023",
month = dec,
day = "10",
doi = "10.1145/3610548.3618218",
language = "English (US)",
series = "Proceedings - SIGGRAPH Asia 2023 Conference Papers, SA 2023",
publisher = "Association for Computing Machinery, Inc",
editor = "Spencer, {Stephen N.}",
booktitle = "Proceedings - SIGGRAPH Asia 2023 Conference Papers, SA 2023",
}