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DTSTAMP:20250110T023312Z
LOCATION:Hall B5 (1)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241204T154100
DTEND;TZID=Asia/Tokyo:20241204T155500
UID:siggraphasia_SIGGRAPH Asia 2024_sess118_papers_379@linklings.com
SUMMARY:Volumetric Homogenization for Knitwear Simulation
DESCRIPTION:Technical Papers\n\nChun Yuan, Haoyang Shi, and Lei Lan (Unive
 rsity of Utah); Yuxing Qiu (LightSpeed Studios); Cem Yuksel (University of
  Utah); Huamin Wang (Style3D Research); Chenfanfu Jiang (University of Cal
 ifornia Los Angeles); Kui Wu (LightSpeed Studios); and Yin Yang (Universit
 y of Utah)\n\nWe present volumetric homogenization,  a spatially varying h
 omogenization scheme for knitwear simulation. We are motivated by the obse
 rvation that macro-scale fabric dynamics is strongly correlated with its u
 nderlying knitting patterns. Therefore, homogenization towards a single\nm
 aterial is less effective when the knitting is complex and non-repetitive.
  Our method tackles this challenge by homogenizing the yarn-level material
  locally at volumetric elements. Assigning a virtual volume of a knitting 
 structure enables us to model bending and twisting effects via a simple vo
 lume-preserving penalty and thus effectively alleviates the material nonli
 nearity. We employ an adjoint Gauss-Newton formulation[Zehnder et al. 2021
 ] to battle the dimensionality challenge of such per-element material opti
 mization. This intuitive material model makes the forward simulation GPU-f
 riendly. To this end, our pipeline also equips a novel domain-decomposed s
 ubspace solver crafted for GPU projective dynamics, which makes our simula
 tor\nhundreds of times faster than the yarn-level simulator. Experiments v
 alidate the capability and effectiveness of volumetric homogenization. Our
  method produces realistic animations of knitwear matching the quality of 
 full-scale yarn-level simulations. It is also orders of magnitude faster t
 han existing homogenization techniques in both the training and simulation
  stages.\n\nRegistration Category: Full Access, Full Access Supporter\n\nL
 anguage Format: English Language\n\nSession Chair: Meng Zhang (Nanjing Uni
 versity of Science and Technology)
URL:https://asia.siggraph.org/2024/program/?id=papers_379&sess=sess118
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