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DTSTAMP:20250522T212945Z
LOCATION:Mile High 2A
DTSTART;TZID=America/Denver:20240731T143000
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UID:siggraph_SIGGRAPH 2024_sess131_papers_331@linklings.com
SUMMARY:Split-and-Fit: Learning B-Reps via Structure-aware Voronoi Partiti
 oning
DESCRIPTION:Yilin Liu (Shenzhen University, Simon Fraser University); Jial
 e Chen and Shanshan Pan (Shenzhen University); Daniel Cohen-Or (Tel Aviv U
 niversity, Shenzhen University); Hao Zhang (Simon Fraser University); and 
 Hui Huang (Shenzhen University)\n\nThe "Split-and-Fit" method introduces a
  top-down, structure-aware strategy for reconstructing B-Rep models, using
  Voronoi diagrams to partition the space and followed by primitive fitting
 . We design NVD-Net to accurately predict these partitions from point clou
 ds or distance fields, resulting in significantly improved reconstruction 
 quality and generalizability compared to previous methods.\n\nInterest Are
 a: Research & Education\n\nRecording: Livestreamed, Recorded\n\nKeyword: G
 eometry, Modeling\n\nRegistration Category: Full Conference, Full Conferen
 ce Supporter, Virtual Access, Exhibitor Full Conference, Wednesday\n\nSess
 ion Chair: Siddhartha Chaudhuri (Adobe)\n\n
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