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TZNAME:PDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20260417T190157Z
LOCATION:West Building\, Rooms 220-222
DTSTART;TZID=America/Los_Angeles:20250811T094000
DTEND;TZID=America/Los_Angeles:20250811T095000
UID:siggraph_SIGGRAPH 2025_sess138_paperstog_117@linklings.com
SUMMARY:A Neural Particle Level Set Method for Dynamic Interface Tracking
DESCRIPTION:Duowen Chen (Georgia Institute of Technology), Junwei Zhou (Un
 iversity of Michigan), Bo Zhu (Georgia Institute of Technology), and Duowe
 n Chen\n\nWe propose Neural PLS, a neural particle level-set method for tr
 acking and evolving dynamic neural representations. Oriented particles ser
 ve as interface trackers and sampling seeders, enabling efficient evolutio
 n on a multi-resolution grid-hash structure. Our approach integrates tradi
 tional PLS and implicit neural representations, achieving superior perform
 ance in benchmarks and physical simulations.\n\nInterest Area: Research & 
 Education\n\nRecording: Livestreamed, Not Livestreamed, Recorded, Not Reco
 rded\n\nRegistration Category: Full Conference, Virtual Access, Monday\n\n
 Session Chair: Christopher Batty (University of Waterloo)\n\n
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