---
_id: '670'
abstract:
- lang: eng
  text: We propose an efficient method to model paper tearing in the context of interactive
    modeling. The method uses geometrical information to automatically detect potential
    starting points of tears. We further introduce a new hybrid geometrical and physical-based
    method to compute the trajectory of tears while procedurally synthesizing high
    resolution details of the tearing path using a texture based approach. The results
    obtained are compared with real paper and with previous studies on the expected
    geometric paths of paper that tears.
article_processing_charge: No
article_type: original
author:
- first_name: Camille
  full_name: Schreck, Camille
  id: 2B14B676-F248-11E8-B48F-1D18A9856A87
  last_name: Schreck
- first_name: Damien
  full_name: Rohmer, Damien
  last_name: Rohmer
- first_name: Stefanie
  full_name: Hahmann, Stefanie
  last_name: Hahmann
citation:
  ama: Schreck C, Rohmer D, Hahmann S. Interactive paper tearing. <i>Computer Graphics
    Forum</i>. 2017;36(2):95-106. doi:<a href="https://doi.org/10.1111/cgf.13110">10.1111/cgf.13110</a>
  apa: Schreck, C., Rohmer, D., &#38; Hahmann, S. (2017). Interactive paper tearing.
    <i>Computer Graphics Forum</i>. Wiley. <a href="https://doi.org/10.1111/cgf.13110">https://doi.org/10.1111/cgf.13110</a>
  chicago: Schreck, Camille, Damien Rohmer, and Stefanie Hahmann. “Interactive Paper
    Tearing.” <i>Computer Graphics Forum</i>. Wiley, 2017. <a href="https://doi.org/10.1111/cgf.13110">https://doi.org/10.1111/cgf.13110</a>.
  ieee: C. Schreck, D. Rohmer, and S. Hahmann, “Interactive paper tearing,” <i>Computer
    Graphics Forum</i>, vol. 36, no. 2. Wiley, pp. 95–106, 2017.
  ista: Schreck C, Rohmer D, Hahmann S. 2017. Interactive paper tearing. Computer
    Graphics Forum. 36(2), 95–106.
  mla: Schreck, Camille, et al. “Interactive Paper Tearing.” <i>Computer Graphics
    Forum</i>, vol. 36, no. 2, Wiley, 2017, pp. 95–106, doi:<a href="https://doi.org/10.1111/cgf.13110">10.1111/cgf.13110</a>.
  short: C. Schreck, D. Rohmer, S. Hahmann, Computer Graphics Forum 36 (2017) 95–106.
date_created: 2018-12-11T11:47:49Z
date_published: 2017-05-01T00:00:00Z
date_updated: 2021-01-12T08:08:37Z
day: '01'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1111/cgf.13110
intvolume: '        36'
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://hal.inria.fr/hal-01647113/file/eg_2017_schreck_paper_tearing.pdf
month: '05'
oa: 1
oa_version: Published Version
page: 95 - 106
project:
- _id: 25357BD2-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P 24352-N23
  name: 'Deep Pictures: Creating Visual and Haptic Vector Images'
publication: Computer Graphics Forum
publication_identifier:
  issn:
  - '01677055'
publication_status: published
publisher: Wiley
publist_id: '7056'
quality_controlled: '1'
scopus_import: 1
status: public
title: Interactive paper tearing
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 36
year: '2017'
...
---
_id: '1367'
abstract:
- lang: eng
  text: One of the major challenges in physically based modelling is making simulations
    efficient. Adaptive models provide an essential solution to these efficiency goals.
    These models are able to self-adapt in space and time, attempting to provide the
    best possible compromise between accuracy and speed. This survey reviews the adaptive
    solutions proposed so far in computer graphics. Models are classified according
    to the strategy they use for adaptation, from time-stepping and freezing techniques
    to geometric adaptivity in the form of structured grids, meshes and particles.
    Applications range from fluids, through deformable bodies, to articulated solids.
acknowledgement: This work was partly supported by the starting grants ADAPT and BigSplash,
  as well as the advanced grant EXPRESSIVE from the European Research Council (ERC-2012-StG_20111012,
  ERC-2014-StG_638176 and ERC-2011-ADG_20110209).
article_processing_charge: No
author:
- first_name: Pierre
  full_name: Manteaux, Pierre
  last_name: Manteaux
- first_name: Christopher J
  full_name: Wojtan, Christopher J
  id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
  last_name: Wojtan
  orcid: 0000-0001-6646-5546
- first_name: Rahul
  full_name: Narain, Rahul
  last_name: Narain
- first_name: Stéphane
  full_name: Redon, Stéphane
  last_name: Redon
- first_name: François
  full_name: Faure, François
  last_name: Faure
- first_name: Marie
  full_name: Cani, Marie
  last_name: Cani
citation:
  ama: Manteaux P, Wojtan C, Narain R, Redon S, Faure F, Cani M. Adaptive physically
    based models in computer graphics. <i>Computer Graphics Forum</i>. 2017;36(6):312-337.
    doi:<a href="https://doi.org/10.1111/cgf.12941">10.1111/cgf.12941</a>
  apa: Manteaux, P., Wojtan, C., Narain, R., Redon, S., Faure, F., &#38; Cani, M.
    (2017). Adaptive physically based models in computer graphics. <i>Computer Graphics
    Forum</i>. Wiley-Blackwell. <a href="https://doi.org/10.1111/cgf.12941">https://doi.org/10.1111/cgf.12941</a>
  chicago: Manteaux, Pierre, Chris Wojtan, Rahul Narain, Stéphane Redon, François
    Faure, and Marie Cani. “Adaptive Physically Based Models in Computer Graphics.”
    <i>Computer Graphics Forum</i>. Wiley-Blackwell, 2017. <a href="https://doi.org/10.1111/cgf.12941">https://doi.org/10.1111/cgf.12941</a>.
  ieee: P. Manteaux, C. Wojtan, R. Narain, S. Redon, F. Faure, and M. Cani, “Adaptive
    physically based models in computer graphics,” <i>Computer Graphics Forum</i>,
    vol. 36, no. 6. Wiley-Blackwell, pp. 312–337, 2017.
  ista: Manteaux P, Wojtan C, Narain R, Redon S, Faure F, Cani M. 2017. Adaptive physically
    based models in computer graphics. Computer Graphics Forum. 36(6), 312–337.
  mla: Manteaux, Pierre, et al. “Adaptive Physically Based Models in Computer Graphics.”
    <i>Computer Graphics Forum</i>, vol. 36, no. 6, Wiley-Blackwell, 2017, pp. 312–37,
    doi:<a href="https://doi.org/10.1111/cgf.12941">10.1111/cgf.12941</a>.
  short: P. Manteaux, C. Wojtan, R. Narain, S. Redon, F. Faure, M. Cani, Computer
    Graphics Forum 36 (2017) 312–337.
date_created: 2018-12-11T11:51:37Z
date_published: 2017-09-01T00:00:00Z
date_updated: 2023-09-20T11:05:36Z
day: '01'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1111/cgf.12941
external_id:
  isi:
  - '000408634200019'
file:
- access_level: open_access
  checksum: 7676e9a9ead6d58c3000988c97deb2ef
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:16:21Z
  date_updated: 2020-07-14T12:44:47Z
  file_id: '5208'
  file_name: IST-2016-634-v1+1_starAdaptivity-cgf.pdf
  file_size: 1434439
  relation: main_file
file_date_updated: 2020-07-14T12:44:47Z
has_accepted_license: '1'
intvolume: '        36'
isi: 1
issue: '6'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Submitted Version
page: 312 - 337
publication: Computer Graphics Forum
publication_identifier:
  issn:
  - '01677055'
publication_status: published
publisher: Wiley-Blackwell
publist_id: '5873'
pubrep_id: '634'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Adaptive physically based models in computer graphics
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 36
year: '2017'
...