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DTSTAMP:20260805T205602Z
LOCATION:Room 403  B
DTSTART;TZID=America/Los_Angeles:20260721T114500
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UID:siggraph_SIGGRAPH 2026_sess121_papers_164@linklings.com
SUMMARY:Strips as Tokens: Artist Mesh Generation with Native UV Segmentati
 on
DESCRIPTION:Rui Xu and Dafei Qin (University of Hong Kong); Kaichun Qiao (
 ShanghaiTech University); Qiujie Dong and Huaijin Pi (University of Hong K
 ong); Qixuan Zhang, Longwen Zhang, Lan Xu, and Jingyi Yu (ShanghaiTech Uni
 versity); Wenping Wang (Texas A&M University); and Taku Komura (University
  of Hong Kong)\n\nWe propose Strips as Tokens (SATO), a novel framework wi
 th a token ordering strategy inspired by triangle strips. By constructing 
 the sequence as a connected chain of faces that explicitly encodes UV boun
 daries, our method naturally preserves the organized edge flow and semanti
 c layout characteristic of artist-created meshes.\n\nInterest Area: Resear
 ch & Education\n\nKeyword: Artificial Intelligence/Machine Learning, Geome
 try, Modeling\n\nRegistration Category: Full Conference Supporter, Full Co
 nference\n\nSession Chair: Mirela Ben-Chen (Technion – Israel Institute of
  Technology)\n\n
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