---
_id: '8385'
abstract:
- lang: eng
  text: 'We present a method for animating yarn-level cloth effects using a thin-shell
    solver. We accomplish this through numerical homogenization: we first use a large
    number of yarn-level simulations to build a model of the potential energy density
    of the cloth, and then use this energy density function to compute forces in a
    thin shell simulator. We model several yarn-based materials, including both woven
    and knitted fabrics. Our model faithfully reproduces expected effects like the
    stiffness of woven fabrics, and the highly deformable nature and anisotropy of
    knitted fabrics. Our approach does not require any real-world experiments nor
    measurements; because the method is based entirely on simulations, it can generate
    entirely new material models quickly, without the need for testing apparatuses
    or human intervention. We provide data-driven models of several woven and knitted
    fabrics, which can be used for efficient simulation with an off-the-shelf cloth
    solver.'
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "We wish to thank the anonymous reviewers and the members of the
  Visual Computing Group at IST Austria for their valuable feedback. We also thank
  the creators of the Berkeley Garment Library [de Joya et al. 2012] for providing
  garment meshes, [Krishnamurthy and Levoy 1996] and [Turk and Levoy 1994] for the
  armadillo and bunny meshes, the creators of libWetCloth [Fei et al. 2018] for their
  implementation of discrete elastic rod forces, and Tomáš Skřivan for\r\ninspiring
  discussions and help with Mathematica code generation. This research was supported
  by the Scientific Service Units (SSU) of IST Austria through resources provided
  by Scientific Computing. This project has received funding from the European Research
  Council (ERC) under the European Union’s Horizon 2020 research and innovation programme
  under grant agreement No. 638176. Rahul Narain is supported by a Pankaj Gupta Young
  Faculty Fellowship and a gift from Adobe Inc."
article_number: '48'
article_processing_charge: No
article_type: original
author:
- first_name: Georg
  full_name: Sperl, Georg
  id: 4DD40360-F248-11E8-B48F-1D18A9856A87
  last_name: Sperl
- first_name: Rahul
  full_name: Narain, Rahul
  last_name: Narain
- first_name: Christopher J
  full_name: Wojtan, Christopher J
  id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
  last_name: Wojtan
  orcid: 0000-0001-6646-5546
citation:
  ama: Sperl G, Narain R, Wojtan C. Homogenized yarn-level cloth. <i>ACM Transactions
    on Graphics</i>. 2020;39(4). doi:<a href="https://doi.org/10.1145/3386569.3392412">10.1145/3386569.3392412</a>
  apa: Sperl, G., Narain, R., &#38; Wojtan, C. (2020). Homogenized yarn-level cloth.
    <i>ACM Transactions on Graphics</i>. Association for Computing Machinery. <a href="https://doi.org/10.1145/3386569.3392412">https://doi.org/10.1145/3386569.3392412</a>
  chicago: Sperl, Georg, Rahul Narain, and Chris Wojtan. “Homogenized Yarn-Level Cloth.”
    <i>ACM Transactions on Graphics</i>. Association for Computing Machinery, 2020.
    <a href="https://doi.org/10.1145/3386569.3392412">https://doi.org/10.1145/3386569.3392412</a>.
  ieee: G. Sperl, R. Narain, and C. Wojtan, “Homogenized yarn-level cloth,” <i>ACM
    Transactions on Graphics</i>, vol. 39, no. 4. Association for Computing Machinery,
    2020.
  ista: Sperl G, Narain R, Wojtan C. 2020. Homogenized yarn-level cloth. ACM Transactions
    on Graphics. 39(4), 48.
  mla: Sperl, Georg, et al. “Homogenized Yarn-Level Cloth.” <i>ACM Transactions on
    Graphics</i>, vol. 39, no. 4, 48, Association for Computing Machinery, 2020, doi:<a
    href="https://doi.org/10.1145/3386569.3392412">10.1145/3386569.3392412</a>.
  short: G. Sperl, R. Narain, C. Wojtan, ACM Transactions on Graphics 39 (2020).
corr_author: '1'
date_created: 2020-09-13T22:01:18Z
date_published: 2020-07-08T00:00:00Z
date_updated: 2026-04-07T14:12:58Z
day: '08'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1145/3386569.3392412
ec_funded: 1
external_id:
  isi:
  - '000583700300021'
file:
- access_level: open_access
  checksum: cf4c1d361c3196c4bd424520a5588205
  content_type: application/pdf
  creator: dernst
  date_created: 2020-11-23T09:01:22Z
  date_updated: 2020-11-23T09:01:22Z
  file_id: '8794'
  file_name: 2020_hylc_submitted.pdf
  file_size: 38922662
  relation: main_file
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file_date_updated: 2020-11-23T09:01:22Z
has_accepted_license: '1'
intvolume: '        39'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1145/3386569.3392412
month: '07'
oa: 1
oa_version: Submitted Version
project:
- _id: 2533E772-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '638176'
  name: 'Big Splash: Efficient Simulation of Natural Phenomena at Extremely Large
    Scales'
publication: ACM Transactions on Graphics
publication_identifier:
  eissn:
  - '15577368'
  issn:
  - '07300301'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
related_material:
  record:
  - id: '12358'
    relation: dissertation_contains
    status: public
scopus_import: '1'
status: public
title: Homogenized yarn-level cloth
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 39
year: '2020'
...