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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20260417T190117Z
LOCATION:West Building\, Rooms 220-222
DTSTART;TZID=America/Los_Angeles:20250811T090000
DTEND;TZID=America/Los_Angeles:20250811T103000
UID:siggraph_SIGGRAPH 2025_sess138@linklings.com
SUMMARY:This is Fluid Simulation
DESCRIPTION:Quadtree Tall Cells for Eulerian Liquid Simulation\n\nThis pap
 er introduces a novel grid structure that extends tall cell methods for ef
 ficient deep water simulation. Unlike previous methods, our approach subdi
 vides tall cells horizontally, allowing for more aggressive adaptivity. We
  demonstrate that this novel form of adaptivity delivers superior perf...\
 n\n\nFumiya Narita (The University of Tokyo, GAME FREAK Inc.); Nimiko Ochi
 ai (GAME FREAK Inc.); Takashi Kanai (The University of Tokyo); and Ryoichi
  Ando (Unaffiliated)\n---------------------\nThis is Fluid Simulation - In
 teractive Discussion\n\nAfter the summary presentations, attendees will pa
 rticipate in an interactive discussion. Outside the room will be a series 
 of poster boards for authors to gather around with the audience. Authors a
 re invited to bring any material related to their paper that could instiga
 te further conversation such...\n\n---------------------\nGaussian Fluids:
  A Grid-Free Fluid Solver based on Gaussian Spatial Representation\n\nWe p
 resent a grid-free fluid simulator featuring a novel Gaussian spatial repr
 esentation (GSR) for velocity field. The advantages of GSR over traditiona
 l Lagrangian/Eulerian data structures are 4-folded: memory compactness, sp
 atial adaptivity, vorticity preservation and continuous differentiability.
 ...\n\n\nJingrui Xing (School of Intelligence Science and Technology, Peki
 ng University); Bin Wang (Independent); and Mengyu Chu and Baoquan Chen (P
 eking University, State Key Laboratory of General Artificial Intelligence)
 \n---------------------\nAdaptive Phase-Field-FLIP for Very Large Scale Tw
 o-Phase Fluid Simulation\n\nWe present an algorithm for simulating large-s
 cale, violently turbulent two-phase flows—such as breaking ocean waves, ts
 unamis, and asteroid impacts—at extreme resolutions of the coupled water-a
 ir velocity field. This is achieved by integrating a new multiphase FLIP v
 ariant with highly e...\n\n\nBernhard Braun (Technical University Munich),
  Jan Bender (RWTH Aachen University), and Nils Thuerey (Technical Universi
 ty Munich)\n---------------------\nA Neural Particle Level Set Method for 
 Dynamic Interface Tracking\n\nWe propose Neural PLS, a neural particle lev
 el-set method for tracking and evolving dynamic neural representations. Or
 iented particles serve as interface trackers and sampling seeders, enablin
 g efficient evolution on a multi-resolution grid-hash structure. Our appro
 ach integrates traditional PLS and...\n\n\nDuowen Chen (Georgia Institute 
 of Technology), Junwei Zhou (University of Michigan), Bo Zhu (Georgia Inst
 itute of Technology), and Duowen Chen\n---------------------\nFast Subspac
 e Fluid Simulation with a Temporally-Aware Basis\n\nWe introduce a novel r
 educed-order fluid simulation technique leveraging Dynamic Mode Decomposit
 ion (DMD) to enable fast, memory-efficient, and user-controllable subspace
  simulation. Combining spatial ROM compression with spectral physical insi
 ghts, our method excels in animation, real-time interact...\n\n\nSiyuan Ch
 en (University of Toronto, Shanghai Jiao Tong University) and Yixin Chen, 
 Jonathan Panuelos, Otman Benchekroun, Yue Chang, Eitan Grinspun, and Zhech
 eng Wang (University of Toronto)\n\nInterest Area: Research & Education\n\
 nRecording: Livestreamed, Not Livestreamed, Recorded, Not Recorded\n\nRegi
 stration Category: Full Conference, Virtual Access, Monday\n\nSession Chai
 r: Christopher Batty (University of Waterloo)
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