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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20250522T212943Z
LOCATION:Mile High 2A
DTSTART;TZID=America/Denver:20240731T095000
DTEND;TZID=America/Denver:20240731T100000
UID:siggraph_SIGGRAPH 2024_sess107_papers_206@linklings.com
SUMMARY:Neural Geometry Fields for Meshes
DESCRIPTION:Venkataram Edavamadathil Sivaram, Tzu-Mao Li, and Ravi Ramamoo
 rthi (University of California San Diego)\n\nNeural geometry fields are a 
 novel 3D surface representation which leverage advances in neural implicit
  functions to represent discrete triangle meshes. By discretizing a surfac
 e into quadrangular patches, a neural function can be adapted to learn hig
 h frequency surface details, ultimately enabling state-of-the-art mesh com
 pression.\n\nInterest Area: Research & Education\n\nRecording: Livestreame
 d, Recorded\n\nKeyword: Geometry, Modeling\n\nRegistration Category: Full 
 Conference, Full Conference Supporter, Virtual Access, Exhibitor Full Conf
 erence, Wednesday\n\nSession Chair: Keenan Crane (Carnegie Mellon Universi
 ty)\n\n
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