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DTSTAMP:20260114T163648Z
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:Xingqiao Li (School of IST & National Key Lab. of AGI, Peking 
 University); Xingyu Ni (School of CS & National Key Lab. of AGI, Peking Un
 iversity); Bo Zhu (Georgia Institute of Technology, Dartmouth College); Bi
 n Wang (Beijing Institute for General Artificial Intelligence); and Baoqua
 n Chen (School of IST & National Key Lab. of AGI, Peking University)\n\nTh
 is paper presents a novel level-set method by combining gradient augmentat
 ion and reference mapping to enable high-fidelity interface tracking and s
 urface tension flow simulation. At the center of our approach is a novel r
 eference-map algorithm to concurrently convect level-set values and gradie
 nts, both of which are used to preserve volumes and interface features of 
 a dynamic surface exhibiting small-scale volumes. In addition, we also dev
 eloped an extrapolation scheme and a reinitialization algorithm to facilit
 ate our novel level-set scheme. We showcase the efficacy of our approach b
 y performing validation tests and comparing it with a broad range of inter
 face tracking algorithms. We also test our algorithm in simulating surface
  tension flow phenomena such as raindrop collision and splashing.\n\nRegis
 tration Category: Full Access\n\nSession Chair: Christopher Batty (Univers
 ity of Waterloo)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_556&sess=sess121
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