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DTSTAMP:20250522T212739Z
LOCATION:Bluebird Ballroom
DTSTART;TZID=America/Denver:20240728T180000
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UID:siggraph_SIGGRAPH 2024_sess211_papers_476@linklings.com
SUMMARY:NeurCADRecon: Neural Representation for Reconstructing CAD Surface
 s by Enforcing Zero Gaussian Curvature
DESCRIPTION:Qiujie Dong and Rui Xu (Shandong University); Pengfei Wang (Un
 iversity of Hong Kong); Shuangmin Chen (Qingdao University of Science and 
 Technology); Shiqing Xin (Shandong University); Xiaohong Jia (AMSS, Chines
 e Academy of Sciences); Wenping Wang (Texas A&M University); and Changhe T
 u (Shandong University)\n\nIn this paper, we present a self-supervised neu
 ral representation aimed at reconstructing CAD models from low-quality, un
 oriented point clouds. Our approach stands out from traditional reconstruc
 tion methods by applying a zero Gaussian curvature constraint, which empha
 sizes the characteristic of being almost developable and enhances the pres
 ervation of feature points/lines.\n\nInterest Area: Arts & Design, Product
 ion & Animation, Research & Education\n\nRecording: Livestreamed, Recorded
 \n\nRegistration Category: Full Conference, Full Conference Supporter, Vir
 tual Access, Experience, Exhibitor Full Conference, Exhibitor Experience, 
 Sunday\n\n
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