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DTSTAMP:20260805T205605Z
LOCATION:Room 408 B
DTSTART;TZID=America/Los_Angeles:20260720T114500
DTEND;TZID=America/Los_Angeles:20260720T115500
UID:siggraph_SIGGRAPH 2026_sess151_papers_381@linklings.com
SUMMARY:ShapeUP: Scalable Image-Conditioned 3D Editing
DESCRIPTION:Inbar Gat (Aigency.ai, Tel Aviv University); Dana Cohen Bar an
 d Guy Levy (Tel Aviv University); Elad Richardson (Runway); and Daniel Coh
 en-Or (Tel Aviv University)\n\nShapeUp introduces a scalable framework for
  high-fidelity 3D asset editing. By casting editing as an image-conditione
 d, latent-to-latent translation, it enables precise local and global trans
 formations while maintaining native 3D consistency. Our approach ensures s
 eamless identity preservation without requiring manual spatial masks.\n\nI
 nterest Area: Research & Education\n\nKeyword: Artificial Intelligence/Mac
 hine Learning, Geometry, Modeling\n\nRegistration Category: Full Conferenc
 e Supporter, Full Conference\n\nSession Chair: Sunghyun Cho (POSTECH)\n\n
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