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DTSTAMP:20260417T190158Z
LOCATION:West Building\, Rooms 211-214
DTSTART;TZID=America/Los_Angeles:20250813T105500
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UID:siggraph_SIGGRAPH 2025_sess118_papers_449@linklings.com
SUMMARY:NeurCross: A Neural Approach to Computing Cross Fields for Quad Me
 sh Generation
DESCRIPTION:Qiujie Dong (Shandong University, The University of Hong Kong)
 ; Huibiao Wen (Shandong University); Rui Xu (The University of Hong Kong);
  Shuangmin Chen (Qingdao University of Science and Technology); Jiaran Zho
 u (Ocean University of China); Shiqing Xin and Changhe Tu (Shandong Univer
 sity); Taku Komura (The University of Hong Kong); and Wenping Wang (Texas 
 A&M University)\n\nWe propose NeurCross, a self-supervised framework for q
 uadrilateral mesh generation that jointly optimizes principal curvature di
 rection field and cross field by employing an optimizable neural SDF to ap
 proximate the input surface. NeurCross outperforms state-of-the-art method
 s in terms of singular point placement, robustness to noise and geometric 
 variations, and approximation accuracy.\n\nInterest Area: Research & Educa
 tion\n\nRecording: Livestreamed, Not Livestreamed, Recorded, Not Recorded\
 n\nRegistration Category: Full Conference, Virtual Access, Wednesday\n\nSe
 ssion Chair: Mirela Ben-Chen (Technion – Israel Institute of Technology)\n
 \n
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