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DTSTAMP:20240214T070242Z
LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T162500
DTEND;TZID=Australia/Melbourne:20231212T164000
UID:siggraphasia_SIGGRAPH Asia 2023_sess121_papers_556@linklings.com
SUMMARY:GARM-LS: A Gradient-Augmented Reference-Map Method for Level-Set F
 luid Simulation
DESCRIPTION:Technical Papers\n\nXingqiao Li (School of IST & National Key 
 Lab. of AGI, Peking University); Xingyu Ni (School of CS & National Key La
 b. of AGI, Peking University); Bo Zhu (Georgia Institute of Technology, Da
 rtmouth College); Bin Wang (Beijing Institute for General Artificial Intel
 ligence); and Baoquan Chen (School of IST & National Key Lab. of AGI, Peki
 ng University)\n\nThis paper presents a novel level-set method by combinin
 g gradient augmentation and reference mapping to enable high-fidelity inte
 rface tracking and surface tension flow simulation. At the center of our a
 pproach is a novel reference-map algorithm to concurrently convect level-s
 et values and gradients, both of which are used to preserve volumes and in
 terface features of a dynamic surface exhibiting small-scale volumes. In a
 ddition, we also developed an extrapolation scheme and a reinitialization 
 algorithm to facilitate our novel level-set scheme. We showcase the effica
 cy of our approach by performing validation tests and comparing it with a 
 broad range of interface tracking algorithms. We also test our algorithm i
 n simulating surface tension flow phenomena such as raindrop collision and
  splashing.\n\nRegistration Category: Full Access\n\nSession Chair: Christ
 opher Batty (University of Waterloo)
URL:https://asia.siggraph.org/2023/full-program?id=papers_556&sess=sess121
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