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DTSTAMP:20260805T205601Z
LOCATION:Room 403  B
DTSTART;TZID=America/Los_Angeles:20260723T142000
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UID:siggraph_SIGGRAPH 2026_sess117_papers_584@linklings.com
SUMMARY:Garment Particles: A 2D–3D Symmetric Garment Representation for Ge
 neration and Editing
DESCRIPTION:Kiyohiro Nakayama (Stanford University); I-Chao Shen (The Univ
 ersity of Tokyo); Ruofan Liu (Institute of Science Tokyo, Stanford Univers
 ity); Yiming Wang (ETH Zürich, Stanford University); Gordon Wetzstein (Sta
 nford University); and Takeo Igarashi (The University of Tokyo)\n\nGarment
  Particles is a 5D point-cloud representation that jointly encodes 2D sewi
 ng patterns and 3D geometry. This representation enables Garment Particles
  Flow (GPF) and Particles-to-Pattern Flow (PPF), a rectified flow framewor
 k for both simulation-ready sewing pattern generation from text and images
  and intuitive 2D/3D editing via diffusion posterior sampling.\n\nInterest
  Area: Research & Education\n\nKeyword: Animation, Artificial Intelligence
 /Machine Learning, Geometry, Modeling, Simulation\n\nRegistration Category
 : Full Conference Supporter, Full Conference\n\nSession Chair: Biao Zhang 
 (Xi'an Jiaotong University)\n\n
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