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DTSTAMP:20260817T171543Z
LOCATION:Hall B7 (1)\, B Block\, Level 7
DTSTART;TZID=Asia/Tokyo:20241205T090000
DTEND;TZID=Asia/Tokyo:20241205T101000
UID:siggraphasia_SIGGRAPH Asia 2024_sess126@linklings.com
SUMMARY:Keep in Touch /  No Touching
DESCRIPTION:Each Paper gives a 10 minute presentation.\n\nA Time-Dependent
  Inclusion-Based Method for Continuous Collision Detection between Paramet
 ric Surfaces\n\nContinuous collision detection (CCD) between parametric su
 rfaces is typically formulated as a five-dimensional constrained optimizat
 ion problem. In the field of CAD and computer graphics, common approaches 
 to solving this problem rely on linearization or sampling strategies. Alte
 rnatively, inclusion...\n\n\nXuwen Chen and Cheng Yu (School of Intelligen
 ce Science and Technology, Peking University; State Key Laboratory of Gene
 ral Artificial Intelligence); Xingyu Ni (School of Computer Science, Pekin
 g University; State Key Laboratory of General Artificial Intelligence); Me
 ngyu Chu (School of Intelligence Science and Technology, Peking University
 ; State Key Laboratory of General Artificial Intelligence); Bin Wang (Beij
 ing Institute for General Artificial Intelligence (BIGAI), State Key Labor
 atory of General Artificial Intelligence); and Baoquan Chen (School of Int
 elligence Science and Technology, Peking University; State Key Laboratory 
 of General Artificial Intelligence)\n---------------------\nA Cubic Barrie
 r with Elasticity-Inclusive Dynamic Stiffness\n\nThis paper presents a new
  cubic barrier with elasticity-inclusive dynamic stiffness for penetration
 -free contact resolution and strain limiting. We show that our method enla
 rges tight strain-limiting gaps where logarithmic barriers struggle and en
 ables highly scalable contact-rich simulation.\n\n\nRyoichi Ando (ZOZO)\n-
 --------------------\nBarrier-Augmented Lagrangian for GPU-based Elastodyn
 amic Contact\n\nWe propose a GPU-based iterative method for accelerated el
 astodynamic simulation with the log-barrier-based contact model. While New
 ton's method is a conventional choice for solving the interior-point syste
 m, the presence of ill-conditioned log barriers often necessitates a direc
 t solution at each l...\n\n\nDewen Guo (Peking University), Minchen Li (Ca
 rnegie Mellon University), Yin Yang (University of Utah), and Sheng Li and
  Guoping Wang (Peking University)\n---------------------\nEfficient GPU Cl
 oth Simulation with Non-distance Barriers and Subspace Reuse\n\nThis paper
  pushes the performance of cloth simulation, making the simulation interac
 tive even for high-resolution garment models while keeping every triangle 
 untangled. The penetration-free guarantee is inspired by the interior poin
 t method, which converts the inequality constraints to barrier poten...\n\
 n\nLei Lan, Zixuan Lu, Jingyi Long, and Chun Yuan (University of Utah); Xu
 an Li (University of California Los Angeles); Xiaowei He (Institute of sof
 tware, Chinese Academy of Sciences); Huamin Wang (Style3D Research); Chenf
 anfu Jiang (University of California Los Angeles); and Yin Yang (Universit
 y of Utah)\n---------------------\ngDist: Efficient Distance Computation b
 etween 3D Meshes on GPU\n\nComputing maximum/minimum distances between 3D 
 meshes is crucial for various applications, i.e., robotics, CAD, VR/AR, et
 c. In this work, we introduce a highly parallel algorithm (gDist) optimize
 d for Graphics Processing Units (GPUs), which is capable of computing the 
 distance between two meshes wit...\n\n\nPeng Fan, Wei Wang, and Ruofeng To
 ng (Zhejiang University); Hailong Li (Poisson Soft); and Min Tang (Zhejian
 g University, Zhejiang Sci-Tech University)\n---------------------\nTradin
 g Spaces: Adaptive Subspace Time Integration for Contacting Elastodynamics
 \n\nWe construct a subspace simulator that adaptively balances solution im
 provement against system size. The core components of our simulator are an
  adaptive subspace oracle, model, and parallel time-step solver algorithm.
  Our in-time-step adaptivity oracle continually assesses subspace solution
  quality...\n\n\nTy Trusty (University of Toronto); Yun (Raymond) Fei (Ado
 be Research); David Levin (University of Toronto, NVIDIA Research); and Da
 nny Kaufman (Adobe Research)\n\nRegistration Category: Full Access, Full A
 ccess Supporter\n\nLanguage Format: English Language\n\nSession Chair: Pau
 l Kry (McGill University)
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