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DTSTAMP:20260805T205604Z
LOCATION:Room 408 B
DTSTART;TZID=America/Los_Angeles:20260720T112500
DTEND;TZID=America/Los_Angeles:20260720T113500
UID:siggraph_SIGGRAPH 2026_sess151_papers_732@linklings.com
SUMMARY:VecSet-Edit: Unleashing Pre-trained LRM for Mesh Editing from Sing
 le Image
DESCRIPTION:Teng-Fang Hsiao, Bo-Kai Ruan, Yu-Lun Liu, and Hong-Han Shuai (
 National Yang Ming Chiao Tung University)\n\nWe propose VecSet-Edit, a nov
 el pipeline leveraging a pre-trained Large Reconstruction Model for high-f
 idelity 3D mesh editing. Using only 2D image conditions and strategic toke
 n manipulation based on our exploration of VecSet features, it enables pre
 cise localized edits while preserving original details.\n\nInterest Area: 
 Research & Education\n\nKeyword: Artificial Intelligence/Machine Learning,
  Geometry, Modeling\n\nRegistration Category: Full Conference Supporter, F
 ull Conference\n\nSession Chair: Sunghyun Cho (POSTECH)\n\n
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