BEGIN:VCALENDAR VERSION:2.0 PRODID:Linklings LLC BEGIN:VTIMEZONE TZID:Australia/Melbourne X-LIC-LOCATION:Australia/Melbourne BEGIN:DAYLIGHT TZOFFSETFROM:+1000 TZOFFSETTO:+1100 TZNAME:AEDT DTSTART:19721003T020000 RRULE:FREQ=YEARLY;BYMONTH=4;BYDAY=1SU END:DAYLIGHT BEGIN:STANDARD DTSTART:19721003T020000 TZOFFSETFROM:+1100 TZOFFSETTO:+1000 TZNAME:AEST RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260114T163706Z LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre) DTSTART;TZID=Australia/Melbourne:20231214T121500 DTEND;TZID=Australia/Melbourne:20231214T122500 UID:siggraphasia_SIGGRAPH Asia 2023_sess131_papers_717@linklings.com SUMMARY:A Physically-inspired Approach to the Simulation of Plant Wilting DESCRIPTION:Filippo Maggioli (Sapienza - University of Rome), Jonathan Kle in and Torsten Hädrich (KAUST), Emanuele Rodolà (Sapienza - University of Rome), Wojtek Pałubicki (AMU), Sören Pirk (CAU), and Dominik L. Michels (K AUST)\n\nPlants are among the most complex objects to be modeled in comput er graphics. While a large body of work is concerned with structural model ing and the dynamic reaction to external forces, our work focuses on the d ynamic 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 conte nt in individual plant parts to branch stiffness values and obtain the wil ted plant shape through a position based dynamics simulation. We show, tha t our approach can recreate measured wilting processes and does so with a higher fidelity than approaches ignoring the internal water flow. Realisti c plant wilting is not only important in a computer graphics context but c an also aid the development of machine learning algorithms in agricultural applications through the generation of synthetic training data.\n\nRegist ration Category: Full Access\n\nSession Chair: Neil A. Dodgson (Victoria U niversity of Wellington)\n\n URL:https://asia.siggraph.org/2023/full-program?id=papers_717&sess=sess131 END:VEVENT END:VCALENDAR