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DTSTAMP:20260805T205519Z
LOCATION:Room 403  B
DTSTART;TZID=America/Los_Angeles:20260723T090000
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UID:siggraph_SIGGRAPH 2026_sess185@linklings.com
SUMMARY:Quads & Singularities
DESCRIPTION:Constant Mean Curvature Surfaces from Discrete Harmonic Maps\n
 \nWe present a simple discretization of constant mean curvature surfaces b
 ased on the classical observation that their Gauss maps are harmonic. Our 
 construction is elementary---requiring only discrete Dirichlet energy mini
 mization and a Poisson solve---yet it exactly mirrors this aspect of the s
 mooth ...\n\n\nYousuf Soliman (Side Effects Software Inc); Peter Schröder 
 (University of Bonn, California Institute of Technology); and Ulrich Pinka
 ll (Technical University of Berlin)\n---------------------\nSynchronizing 
 Fields with Singularities\n\nWe cast a variety of field-processing problem
 s into the language of synchronization, unlocking a unified algorithm base
 d on semidefinite relaxation. Our method produces better optima, enables n
 ew boundary conditions, and comes with a geometric interpretation in terms
  of lifting topological defects (...\n\n\nNatalia Pacheco-Tallaj (Massachu
 setts Institute of Technology (MIT)); Mattéo Couplet and Edward Chien (Bos
 ton University); and David Palmer (Institute of Science and Technology Aus
 tria (ISTA), Harvard University)\n---------------------\nGlobal Discrete O
 ptimization for Quad-Dominant Mesh Reduction\n\nWe propose a global optimi
 zation framework for simplifying quad-dominant meshes used in game and ani
 mation production. By formulating edge selection as an Integer Linear Prog
 ramming problem with partial poly-chord segmentation and curvature-aware c
 onstraints, our method preserves clean edge flows an...\n\n\nYuzhe Luo (Sa
 te Key Lab of CAD&CG, Zhejiang University; LIGHTSPEED, China); Jingchen Ga
 o (Hangzhou Dianzi University); Zherong Pan (META); Kui Wu (LIGHTSPEED); X
 uebo Ji (The University of Hong Kong); Xiaogang Jin (State Key Laboratory 
 of CAD & CG, Zhejiang University); and Xifeng Gao (LIGHTSPEED)\n----------
 -----------\nSQuadGen: Generating Simple Quad Layouts via Chart Distance F
 ields\n\nSQuadGen introduces a diffusion-based approach to simple quad lay
 out generation based on Chart Distance Fields, a continuous representation
  that encodes discrete quad structures on surfaces. This formulation avoid
 s direct mesh connectivity prediction and enables the synthesis of simple,
  artist-frien...\n\n\nYou-Kang Kong (Tsinghua University, Microsoft Resear
 ch Asia); Yang Liu (Microsoft, Microsoft Research Asia); Yue Dong (Microso
 ft Research Asia); Xin Tong (Anuttacon); and Heung-Yeung Shum (Internation
 al Digital Economy Academy, Tsinghua University)\n---------------------\nS
 urface Power Diagrams for Knit Singularity Placement\n\nWe present an algo
 rithm for knit singularity placement that leverages a generalization of po
 wer diagrams to surfaces. By optimizing singularity positions in a global 
 fashion, we achieve faster and more optimal placement, allowing for denser
  knit graphs. Our framework robustly produces helix-free kni...\n\n\nRahul
  Mitra, Mattéo Couplet, and Ruichen Liu (Boston University); Jonathan Ng, 
 Ruza Markov, and William Batara Jeremiah Samosir (VARIANT3D); Megan Hofman
 n (Northeastern University); and Edward Chien (Boston University)\n-------
 --------------\nLearning Sparse Singularities for Cross Field Design\n\nPr
 oblem-aware quad mesh design is challenging due to the choice of neural re
 presentation. We propose a two-stage strategy: we first learn sparse singu
 larities, follwed by an analytical step to convert the singularities into 
 cross field and the final quad. Thanks to the hybrid neural-analytical str
 at...\n\n\nXiaohu Zhang, Hujun Bao, and Jin Huang (Zhejiang University) an
 d Xiaohu Zhang\n---------------------\nQuads & Singularities - Interactive
  Discussion\n\nAfter the summary presentations, attendees will participate
  in an interactive discussion. Outside the room will be a series of poster
  boards for authors to gather around with the audience. Authors are invite
 d to bring any material related to their paper that could instigate furthe
 r conversation such...\n\n\nInterest Area: Research & Education\n\nKeyword
 : Artificial Intelligence/Machine Learning, Fabrication, Geometry, Modelin
 g\n\nRegistration Category: Full Conference Supporter, Full Conference\n\n
 Session Chair: Tao Ju (Washington University in St. Louis)
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