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TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
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TZOFFSETFROM:+0900
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DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20250110T023301Z
LOCATION:G405\, G Block\, Level 4
DTSTART;TZID=Asia/Tokyo:20241205T130000
DTEND;TZID=Asia/Tokyo:20241205T131200
UID:siggraphasia_SIGGRAPH Asia 2024_sess278_artp_166@linklings.com
SUMMARY:Exploring Fungal Morphology Simulation and Dynamic Light Containme
 nt from a Graphics Generation Perspective
DESCRIPTION:Art Papers\n\nKexin Wang (Brown University,  School of Enginee
 ring; Rhode Island School of Design); Ivy He (Brown University,  Departmen
 t of Computer Science); Jinke Li (Brown University, Department of Molecula
 r Microbiology and Immunology); and Ali Asadipour and Yitong Sun (Royal Co
 llege of Art, Computer Science Research Centre)\n\nFungal simulation and c
 ontrol are considered crucial techniques in Bio-Art creation. However, cod
 ing algorithms for reliable fungal simulations have posed significant chal
 lenges for artists. This study equates fungal morphology simulation to a t
 wo-dimensional graphic time-series generation problem. We propose a zero-c
 oding, neural network-driven cellular automaton. Fungal spread patterns ar
 e learned through an image segmentation model and a time-series prediction
  model, which then supervise the training of neural network cells, enablin
 g them to replicate real-world spreading behaviors. We further implemented
  dynamic containment of fungal boundaries with lasers. Synchronized with t
 he automaton, the fungus successfully spreads into pre-designed complex sh
 apes in reality.\n\nRegistration Category: Enhanced Access, Full Access, F
 ull Access Supporter\n\nLanguage Format: English Language\n\nSession Chair
 : Kian Peng Ong (Nanyang Technological University (NTU))
URL:https://asia.siggraph.org/2024/program/?id=artp_166&sess=sess278
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