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DTSTAMP:20260805T205601Z
LOCATION:Room 403  B
DTSTART;TZID=America/Los_Angeles:20260723T160500
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UID:siggraph_SIGGRAPH 2026_sess129_paperstog_123@linklings.com
SUMMARY:Quasi-Medial Distance Field (Q-MDF): A Robust Method for Approxima
 ting and Discretizing Neural Medial Axes
DESCRIPTION:Jiayi Kong (S-Lab Nanyang Technological University); Chen Zong
  (S-Lab Nanyang Technological University, School of Mathematics Nanjing Un
 iversity of Aeronautics and Astronautics); Jun Luo (Nanyang Technological 
 University); Shiqing Xin (School of Computer Science and Technology Shando
 ng University); Fei Hou (Institute of Software, Chinese Academy of Science
 s; University of Chinese Academy of Sciences); Hanqing Jiang and Chen Qian
  (SenseTime Research); Ying He (Nanyang Technological University); and Jia
 yi Kong\n\nWe introduce an implicit method for medial axis extraction from
  point clouds and meshes, addressing challenges in noisy or incomplete dat
 a. By connecting the signed distance field and the medial field, we reform
 ulate the problem as implicit reconstruction, offering a novel, robust sol
 ution for accurate medial axis computation.\n\nInterest Area: Research & E
 ducation\n\nKeyword: Geometry, Modeling\n\nRegistration Category: Full Con
 ference Supporter, Full Conference\n\nSession Chair: Renjie Chen (Universi
 ty of Science and Technology of China)\n\n
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