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BEGIN:VEVENT
DTSTAMP:20250522T212740Z
LOCATION:Bluebird Ballroom
DTSTART;TZID=America/Denver:20240728T180000
DTEND;TZID=America/Denver:20240728T204500
UID:siggraph_SIGGRAPH 2024_sess211_papers_292@linklings.com
SUMMARY:CNS-Edit: 3D Shape Editing via Coupled Neural Shape Optimization
DESCRIPTION:Jingyu Hu, Ka-Hei Hui, and Zhengzhe Liu (The Chinese Universit
 y of Hong Kong); Hao Zhang (Simon Fraser University, Amazon); and Chi-Wing
  Fu (The Chinese University of Hong Kong)\n\nThis paper introduces a new a
 pproach based on a coupled representation and a neural volume optimization
  to perform 3D shape editing in latent space. Besides, we provide a set of
  operators, i.e., copy, delete, resize, and drag, for the users to achieve
  semantic-aware and high-fidelity shape editing.\n\nInterest Area: Arts & 
 Design, Production & Animation, Research & Education\n\nRecording: Livestr
 eamed, Recorded\n\nRegistration Category: Full Conference, Full Conference
  Supporter, Virtual Access, Experience, Exhibitor Full Conference, Exhibit
 or Experience, Sunday\n\n
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