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PRODID:Linklings LLC
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TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
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TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:JST
DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20260817T171533Z
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:Kexin Wang (Brown University,  School of Engineering; Rhode Is
 land School of Design); Ivy He (Brown University,  Department of Computer 
 Science); Jinke Li (Brown University, Department of Molecular Microbiology
  and Immunology); and Ali Asadipour and Yitong Sun (Royal College of Art, 
 Computer Science Research Centre)\n\nFungal simulation and control are con
 sidered crucial techniques in Bio-Art creation. However, coding algorithms
  for reliable fungal simulations have posed significant challenges for art
 ists. This study equates fungal morphology simulation to a two-dimensional
  graphic time-series generation problem. We propose a zero-coding, neural 
 network-driven cellular automaton. Fungal spread patterns are learned thro
 ugh an image segmentation model and a time-series prediction model, which 
 then supervise the training of neural network cells, enabling them to repl
 icate real-world spreading behaviors. We further implemented dynamic conta
 inment of fungal boundaries with lasers. Synchronized with the automaton, 
 the fungus successfully spreads into pre-designed complex shapes in realit
 y.\n\nRegistration Category: Enhanced Access, Full Access, Full Access Sup
 porter\n\nLanguage Format: English Language\n\nSession Chair: Kian Peng On
 g (Nanyang Technological University (NTU))\n\n
URL:https://asia.siggraph.org/2024/program/?id=artp_166&sess=sess278
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