BEGIN:VCALENDAR VERSION:2.0 PRODID:Linklings LLC BEGIN:VTIMEZONE TZID:America/Los_Angeles X-LIC-LOCATION:America/Los_Angeles BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:19700308T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:19701101T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260805T205454Z LOCATION:Room 403 B DTSTART;TZID=America/Los_Angeles:20260722T154500 DTEND;TZID=America/Los_Angeles:20260722T173500 UID:siggraph_SIGGRAPH 2026_sess115@linklings.com SUMMARY:Numerical Methods for Geometry Processing DESCRIPTION:MeshFEM: A Block-accelerated Solver for Nonlinear Finite Eleme nts\n\nWe present a high-performance Newton-type solver designed for the n onlinear finite element problems common in simulation and geometry process ing. By leveraging the inherent block structure of spatially discretized s ystems across all solver phases, we achieve significant speedups over exis ting direct...\n\n\nHaleh Mohammadian and Xinzhuo Hu (University of Califo rnia Davis), Roi Poranne (University of Haifa), and Julian Panetta (Univer sity of California Davis)\n---------------------\nFast Sparse Matrix Permu tation for Mesh-Based Direct Solvers\n\nWe present a fast sparse matrix pe rmutation algorithm tailored to mesh-based direct solvers. By exploiting m esh structure through patch-based nested dissection, our method reduces pe rmutation overhead while preserving high-quality orderings, leading to sub stantial end-to-end speedups in sparse Chole...\n\n\nBehrooz Zarebavani (U niversity of Toronto); Ahmed Mahmoud and Ana Dodik (Massachusetts Institut e of Technology (MIT)); Changcheng Yuan (Texas A&M University); Serban Por umbescu and John Owens (University of California Davis); Maryam Mehri Dehn avi (University of Toronto, NVIDIA); and Justin Solomon (Massachusetts Ins titute of Technology (MIT))\n---------------------\nStatistical Gradient F iltering for Geometry Optimization Under Limited Observations\n\nWe presen t a novel technique that leverages statistical shape space for accurate an d robust 3D geometry optimization under limited observations, such as non- rigid registration on partial scans and single-view inverse rendering.\n\n \nWonjong Jang, Gwangjin Ju, and Seungyong Lee (POSTECH)\n---------------- -----\nGMT: A Geometric Multigrid Transformer Solver for Microstructure Ho mogenization\n\nGMT is a Geometric Multigrid Transformer that significantl y accelerates microstructure homogenization. Embedding Transformers into t he multigrid hierarchy to capture multi-scale physical interactions delive rs a 160x speedup over SOTA GPU solvers while maintaining engineering-grad e accuracy at high r...\n\n\nYu Xing (Shandong University), Yang Liu (Micr osoft Research Asia), Tianyang Xue (The University of Hong Kong), and Lin Lu (Shandong University)\n---------------------\nRobust Biharmonic Skinnin g Using Geometric Fields\n\nA mesh-free approach for computing bounded bih armonic skinning weights. Our method works well even in presence of severe mesh quality degradation and can incorporate artistic control via weight- painting. It relies on a differentiable field and incorporates boundary ha ndling via hardware accelerated ...\n\n\nAna Dodik, Vincent Sitzmann, and Justin Solomon (MIT CSAIL); Oded Stein (University of Southern California) ; and Ana Dodik\n---------------------\nJGS2-GQ: Training-free 2nd Jacobi with Gaussian Quadrature\n\nJGS2-GQ replaces data-driven Cubature with tra ining-free Gaussian Quadrature, enabling stable, high-resolution GPU simul ation. It handles frictional contact, maintains Newton-like convergence, a nd outperforms JGS2 by 50% on novel deformations without training.\n\n\nDe wen Guo, Zixuan Lu, Zhiyong He, and Yuqi Meng (University of Utah); Bohan Wang (National University of Singapore); Lei Lan and Weiwei Xu (State Key Lab of CAD and CG, Zhejiang University); Chenfanfu Jiang (UCLA); and Yin Y ang (University of Utah)\n---------------------\nNumerical Methods for Geo metry Processing - Interactive Discussion\n\nAfter the summary presentatio ns, attendees will participate in an interactive discussion. Outside the r oom will be a series of poster boards for authors to gather around with th e audience. Authors are invited to bring any material related to their pap er that could instigate further conversation such...\n\n\nInterest Area: R esearch & Education\n\nKeyword: Animation, Artificial Intelligence/Machine Learning, Fabrication, Geometry, Modeling, Simulation\n\nRegistration Cat egory: Full Conference Supporter, Full Conference\n\nSession Chair: Danny Kaufman (Adobe, University of Toronto) END:VEVENT END:VCALENDAR