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TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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DTSTART:19701101T020000
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DTSTAMP:20260417T190157Z
LOCATION:West Building\, Rooms 220-222
DTSTART;TZID=America/Los_Angeles:20250811T164500
DTEND;TZID=America/Los_Angeles:20250811T165500
UID:siggraph_SIGGRAPH 2025_sess140_paperstog_119@linklings.com
SUMMARY:Patch-Grid: An Efficient and Feature-Preserving Neural Implicit Su
 rface Representation
DESCRIPTION:Guying Lin (Carnegie Mellon University); Lei Yang (The Univers
 ity of Hong Kong); Congyi Zhang (The University of British Columbia); Hao 
 Pan (Tsinghua University); Yuhan Ping, Guodong Wei, and Taku Komura (The U
 niversity of Hong Kong); John Keyser and Wenping Wang (Texas A&M Universit
 y); and Guying Lin\n\nWe introduce Patch-Grid, a unified neural implicit r
 epresentation that efficiently represents complex shapes, preserves sharp 
 features, and handles open boundaries and thin geometric details. By decom
 posing shapes into patches encapsulated by adaptive feature grids and merg
 ing them through localized CSG operations, Patch-Grid demonstrates superio
 r robustness, efficiency, and accuracy.\n\nInterest Area: Research & Educa
 tion\n\nRecording: Livestreamed, Not Livestreamed, Recorded, Not Recorded\
 n\nRegistration Category: Full Conference, Virtual Access, Monday\n\nSessi
 on Chair: Eugene Zhang (Oregon State University)\n\n
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