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LOCATION:Room 403 A
DTSTART;TZID=America/Los_Angeles:20260720T112500
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UID:siggraph_SIGGRAPH 2026_sess149_papers_861@linklings.com
SUMMARY:ADS: Random Sampling of Occupancy Functions using Adaptive Delauna
 y Scaffolding
DESCRIPTION:Suzuran Takikawa, Leo Foord-Kelcey, and Oliver Oxford (The Uni
 versity of British Columbia); Nicholas Vining (NVIDIA, The University of B
 ritish Columbia); and Alla Sheffer (The University of British Columbia)\n\
 nWe present ADS, a method that delivers both pseudo-random surface samples
  and isosurface connectivity from occupancy functions, unlike prior approa
 ches that typically provide only one. ADS achieves this with orders of mag
 nitude fewer function evaluations at comparable accuracy than prior approa
 ches, by progressively refining a Delaunay scaffold around the surface.\n\
 nInterest Area: Research & Education\n\nKeyword: Fabrication, Geometry, Mo
 deling, Rendering\n\nRegistration Category: Full Conference Supporter, Ful
 l Conference\n\nSession Chair: Silvia Sellan (Columbia University)\n\n
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