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DTSTAMP:20240214T070311Z
LOCATION:Meeting Room C4.8\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231214T140000
DTEND;TZID=Australia/Melbourne:20231214T150000
UID:siggraphasia_SIGGRAPH Asia 2023_sess151@linklings.com
SUMMARY:Neural Physics
DESCRIPTION:Technical Papers\n\nNeural Collision Fields for Triangle Primi
 tives\n\nWe present neural collision fields as an alternative to contact p
 oint sampling in physics simulations.\nOur approach is built on top of a n
 ovel smoothed integral formulation for the contact surface patches between
  two triangle meshes. By reformulating collisions as an integral, we avoid
  issues of sam...\n\n\nRyan Zesch (Texas A&M University), Vismay Modi (Uni
 versity of Toronto), Shinjiro Sueda (Texas A&M University), and David Levi
 n (University of Toronto)\n---------------------\nLearning Contact Deforma
 tions with General Collider Descriptors\n\nThis paper presents a learning-
 based method for the simulation of rich contact deformations on reduced de
 formation models. Previous works learn deformation models for specific pai
 rs of objects, and we lift this limitation by designing a neural model tha
 t supports general rigid collider shapes. We do...\n\n\nCristian Romero an
 d Dan Casas (Universidad Rey Juan Carlos) and Maurizio Chiaramonte and Mig
 uel A. Otaduy (Meta Reality Labs Research)\n---------------------\nClothCo
 mbo: Modeling Inter-Cloth Interaction for Draping Multi-Layered Clothes\n\
 nWe present ClothCombo, a pipeline to drape arbitrary combinations of clot
 hes on 3D human models with varying body shapes and poses. While existing 
 learning-based approaches for draping clothes have shown promising results
 , multi-layered clothing remains challenging as it is non-trivial to model
  inte...\n\n\nDohae Lee, Hyun Kang, and In-Kwon Lee (Yonsei University)\n-
 --------------------\nNeural Stress Fields for Reduced-order Elastoplastic
 ity and Fracture\n\nThe material point method (MPM) is a versatile simulat
 ion framework for large-deformation elastoplasticity and fracture. However
 , MPM's long runtime and large memory consumptions render it unsuitable fo
 r applications constrained by computation time and memory usage, e.g., vir
 tual reality. To overcom...\n\n\nZeshun Zong and Xuan Li (University of Ca
 lifornia Los Angeles); Minchen Li (University of California Los Angeles, C
 arnegie Mellon University); Maurizio M. Chiaramonte (Meta Reality Labs Res
 earch); Wojciech Matusik (MIT CSAIL); Eitan Grinspun (University of Toront
 o); Kevin Carlberg (Meta Reality Labs Research); Chenfanfu Jiang (Universi
 ty of California Los Angeles); and Peter Yichen Chen (MIT CSAIL)\n--------
 -------------\nFluid Simulation on Neural Flow Maps\n\nWe introduce Neural
  Flow Maps, a novel simulation method bridging the emerging paradigm of im
 plicit neural representations with fluid simulation based on the theory of
  flow maps, to achieve state-of-the-art simulation of inviscid fluid pheno
 mena. We devise a novel hybrid neural field representation,...\n\n\nYitong
  Deng (Dartmouth College), Hong-Xing Yu (Stanford University), Diyang Zhan
 g (Dartmouth College), Jiajun Wu (Stanford University), and Bo Zhu (Dartmo
 uth College)\n\nRegistration Category: Full Access\n\nSession Chair: Tao D
 u (Tsinghua University, Shanghai Qi Zhi Institute)
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