---
_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: '1413'
abstract:
- lang: eng
  text: This paper generalizes the well-known Diffusion Curves Images (DCI), which
    are composed of a set of Bezier curves with colors specified on either side. These
    colors are diffused as Laplace functions over the image domain, which results
    in smooth color gradients interrupted by the Bezier curves. Our new formulation
    allows for more color control away from the boundary, providing a similar expressive
    power as recent Bilaplace image models without introducing associated issues and
    computational costs. The new model is based on a special Laplace function blending
    and a new edge blur formulation. We demonstrate that given some user-defined boundary
    curves over an input raster image, fitting colors and edge blur from the image
    to the new model and subsequent editing and animation is equally convenient as
    with DCIs. Numerous examples and comparisons to DCIs are presented.
author:
- first_name: Stefan
  full_name: Jeschke, Stefan
  id: 44D6411A-F248-11E8-B48F-1D18A9856A87
  last_name: Jeschke
citation:
  ama: 'Jeschke S. Generalized diffusion curves: An improved vector representation
    for smooth-shaded images. <i>Computer Graphics Forum</i>. 2016;35(2):71-79. doi:<a
    href="https://doi.org/10.1111/cgf.12812">10.1111/cgf.12812</a>'
  apa: 'Jeschke, S. (2016). Generalized diffusion curves: An improved vector representation
    for smooth-shaded images. <i>Computer Graphics Forum</i>. Wiley-Blackwell. <a
    href="https://doi.org/10.1111/cgf.12812">https://doi.org/10.1111/cgf.12812</a>'
  chicago: 'Jeschke, Stefan. “Generalized Diffusion Curves: An Improved Vector Representation
    for Smooth-Shaded Images.” <i>Computer Graphics Forum</i>. Wiley-Blackwell, 2016.
    <a href="https://doi.org/10.1111/cgf.12812">https://doi.org/10.1111/cgf.12812</a>.'
  ieee: 'S. Jeschke, “Generalized diffusion curves: An improved vector representation
    for smooth-shaded images,” <i>Computer Graphics Forum</i>, vol. 35, no. 2. Wiley-Blackwell,
    pp. 71–79, 2016.'
  ista: 'Jeschke S. 2016. Generalized diffusion curves: An improved vector representation
    for smooth-shaded images. Computer Graphics Forum. 35(2), 71–79.'
  mla: 'Jeschke, Stefan. “Generalized Diffusion Curves: An Improved Vector Representation
    for Smooth-Shaded Images.” <i>Computer Graphics Forum</i>, vol. 35, no. 2, Wiley-Blackwell,
    2016, pp. 71–79, doi:<a href="https://doi.org/10.1111/cgf.12812">10.1111/cgf.12812</a>.'
  short: S. Jeschke, Computer Graphics Forum 35 (2016) 71–79.
date_created: 2018-12-11T11:51:53Z
date_published: 2016-05-01T00:00:00Z
date_updated: 2021-01-12T06:50:34Z
day: '01'
department:
- _id: ChWo
doi: 10.1111/cgf.12812
intvolume: '        35'
issue: '2'
language:
- iso: eng
month: '05'
oa_version: None
page: 71 - 79
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_status: published
publisher: Wiley-Blackwell
publist_id: '5794'
quality_controlled: '1'
scopus_import: 1
status: public
title: 'Generalized diffusion curves: An improved vector representation for smooth-shaded
  images'
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 35
year: '2016'
...
---
_id: '1630'
abstract:
- lang: eng
  text: We present a method to learn and propagate shape placements in 2D polygonal
    scenes from a few examples provided by a user. The placement of a shape is modeled
    as an oriented bounding box. Simple geometric relationships between this bounding
    box and nearby scene polygons define a feature set for the placement. The feature
    sets of all example placements are then used to learn a probabilistic model over
    all possible placements and scenes. With this model, we can generate a new set
    of placements with similar geometric relationships in any given scene. We introduce
    extensions that enable propagation and generation of shapes in 3D    scenes, as
    well as the application of a learned modeling session to large scenes without
    additional user interaction. These concepts allow us to generate complex scenes
    with thousands of objects with relatively little user interaction.
acknowledgement: This publication is based upon work supported by the KAUST Office
  of Competitive Research Funds (OCRF) under Award No. 62140401, the KAUST Visual
  Computing Center and the Austrian Science Fund (FWF) projects DEEP PICTURES (no.
  P24352-N23) and Data-Driven Procedural Modeling of Interiors (no. P24600-N23).
article_number: '108'
author:
- first_name: Paul
  full_name: Guerrero, Paul
  last_name: Guerrero
- first_name: Stefan
  full_name: Jeschke, Stefan
  id: 44D6411A-F248-11E8-B48F-1D18A9856A87
  last_name: Jeschke
- first_name: Michael
  full_name: Wimmer, Michael
  last_name: Wimmer
- first_name: Peter
  full_name: Wonka, Peter
  last_name: Wonka
citation:
  ama: 'Guerrero P, Jeschke S, Wimmer M, Wonka P. Learning shape placements by example.
    In: Vol 34. ACM; 2015. doi:<a href="https://doi.org/10.1145/2766933">10.1145/2766933</a>'
  apa: 'Guerrero, P., Jeschke, S., Wimmer, M., &#38; Wonka, P. (2015). Learning shape
    placements by example (Vol. 34). Presented at the SIGGRAPH: Special Interest Group
    on Computer Graphics and Interactive Techniques, Los Angeles, CA, United States:
    ACM. <a href="https://doi.org/10.1145/2766933">https://doi.org/10.1145/2766933</a>'
  chicago: Guerrero, Paul, Stefan Jeschke, Michael Wimmer, and Peter Wonka. “Learning
    Shape Placements by Example,” Vol. 34. ACM, 2015. <a href="https://doi.org/10.1145/2766933">https://doi.org/10.1145/2766933</a>.
  ieee: 'P. Guerrero, S. Jeschke, M. Wimmer, and P. Wonka, “Learning shape placements
    by example,” presented at the SIGGRAPH: Special Interest Group on Computer Graphics
    and Interactive Techniques, Los Angeles, CA, United States, 2015, vol. 34, no.
    4.'
  ista: 'Guerrero P, Jeschke S, Wimmer M, Wonka P. 2015. Learning shape placements
    by example. SIGGRAPH: Special Interest Group on Computer Graphics and Interactive
    Techniques vol. 34, 108.'
  mla: Guerrero, Paul, et al. <i>Learning Shape Placements by Example</i>. Vol. 34,
    no. 4, 108, ACM, 2015, doi:<a href="https://doi.org/10.1145/2766933">10.1145/2766933</a>.
  short: P. Guerrero, S. Jeschke, M. Wimmer, P. Wonka, in:, ACM, 2015.
conference:
  end_date: 2015-08-13
  location: Los Angeles, CA, United States
  name: 'SIGGRAPH: Special Interest Group on Computer Graphics and Interactive Techniques'
  start_date: 2015-08-09
date_created: 2018-12-11T11:53:08Z
date_published: 2015-07-27T00:00:00Z
date_updated: 2021-01-12T06:52:07Z
day: '27'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1145/2766933
file:
- access_level: open_access
  checksum: 8b05a51e372c9b0b5af9a00098a9538b
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:07:49Z
  date_updated: 2020-07-14T12:45:07Z
  file_id: '4647'
  file_name: IST-2016-576-v1+1_guerrero-2015-lsp-paper.pdf
  file_size: 11902290
  relation: main_file
file_date_updated: 2020-07-14T12:45:07Z
has_accepted_license: '1'
intvolume: '        34'
issue: '4'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Submitted Version
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_status: published
publisher: ACM
publist_id: '5525'
pubrep_id: '576'
quality_controlled: '1'
scopus_import: 1
status: public
title: Learning shape placements by example
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 34
year: '2015'
...
---
_id: '1814'
abstract:
- lang: eng
  text: 'We present an efficient wavefront tracking algorithm for animating bodies
    of water that interact with their environment. Our contributions include: a novel
    wavefront tracking technique that enables dispersion, refraction, reflection,
    and diffraction in the same simulation; a unique multivalued function interpolation
    method that enables our simulations to elegantly sidestep the Nyquist limit; a
    dispersion approximation for efficiently amplifying the number of simulated waves
    by several orders of magnitude; and additional extensions that allow for time-dependent
    effects and interactive artistic editing of the resulting animation. Our contributions
    combine to give us multitudes more wave details than similar algorithms, while
    maintaining high frame rates and allowing close camera zooms.'
article_number: '27'
author:
- first_name: Stefan
  full_name: Jeschke, Stefan
  id: 44D6411A-F248-11E8-B48F-1D18A9856A87
  last_name: Jeschke
- 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: Jeschke S, Wojtan C. Water wave animation via wavefront parameter interpolation.
    <i>ACM Transactions on Graphics</i>. 2015;34(3). doi:<a href="https://doi.org/10.1145/2714572">10.1145/2714572</a>
  apa: Jeschke, S., &#38; Wojtan, C. (2015). Water wave animation via wavefront parameter
    interpolation. <i>ACM Transactions on Graphics</i>. ACM. <a href="https://doi.org/10.1145/2714572">https://doi.org/10.1145/2714572</a>
  chicago: Jeschke, Stefan, and Chris Wojtan. “Water Wave Animation via Wavefront
    Parameter Interpolation.” <i>ACM Transactions on Graphics</i>. ACM, 2015. <a href="https://doi.org/10.1145/2714572">https://doi.org/10.1145/2714572</a>.
  ieee: S. Jeschke and C. Wojtan, “Water wave animation via wavefront parameter interpolation,”
    <i>ACM Transactions on Graphics</i>, vol. 34, no. 3. ACM, 2015.
  ista: Jeschke S, Wojtan C. 2015. Water wave animation via wavefront parameter interpolation.
    ACM Transactions on Graphics. 34(3), 27.
  mla: Jeschke, Stefan, and Chris Wojtan. “Water Wave Animation via Wavefront Parameter
    Interpolation.” <i>ACM Transactions on Graphics</i>, vol. 34, no. 3, 27, ACM,
    2015, doi:<a href="https://doi.org/10.1145/2714572">10.1145/2714572</a>.
  short: S. Jeschke, C. Wojtan, ACM Transactions on Graphics 34 (2015).
date_created: 2018-12-11T11:54:09Z
date_published: 2015-04-01T00:00:00Z
date_updated: 2023-02-23T10:15:40Z
day: '01'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1145/2714572
ec_funded: 1
file:
- access_level: open_access
  checksum: 67c9f4fa370def68cdf31299e48bc91f
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:12:15Z
  date_updated: 2020-07-14T12:45:17Z
  file_id: '4933'
  file_name: IST-2016-575-v1+1_wavefront_preprint.pdf
  file_size: 23712153
  relation: main_file
file_date_updated: 2020-07-14T12:45:17Z
has_accepted_license: '1'
intvolume: '        34'
issue: '3'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Submitted Version
project:
- _id: 25357BD2-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P 24352-N23
  name: 'Deep Pictures: Creating Visual and Haptic Vector Images'
- _id: 2533E772-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '638176'
  name: Efficient Simulation of Natural Phenomena at Extremely Large Scales
publication: ACM Transactions on Graphics
publication_status: published
publisher: ACM
publist_id: '5292'
pubrep_id: '575'
quality_controlled: '1'
scopus_import: 1
status: public
title: Water wave animation via wavefront parameter interpolation
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 34
year: '2015'
...
---
_id: '1906'
abstract:
- lang: eng
  text: In this paper, we introduce a novel scene representation for the visualization
    of large-scale point clouds accompanied by a set of high-resolution photographs.
    Many real-world applications deal with very densely sampled point-cloud data,
    which are augmented with photographs that often reveal lighting variations and
    inaccuracies in registration. Consequently, the high-quality representation of
    the captured data, i.e., both point clouds and photographs together, is a challenging
    and time-consuming task. We propose a two-phase approach, in which the first (preprocessing)
    phase generates multiple overlapping surface patches and handles the problem of
    seamless texture generation locally for each patch. The second phase stitches
    these patches at render-time to produce a high-quality visualization of the data.
    As a result of the proposed localization of the global texturing problem, our
    algorithm is more than an order of magnitude faster than equivalent mesh-based
    texturing techniques. Furthermore, since our preprocessing phase requires only
    a minor fraction of the whole data set at once, we provide maximum flexibility
    when dealing with growing data sets.
acknowledgement: This research was supported by the Austrian Research Promotion Agency
  (FFG) project REPLICATE (no. 835948), the EU FP7 project HARVEST4D (no. 323567).
author:
- first_name: Murat
  full_name: Arikan, Murat
  last_name: Arikan
- first_name: Reinhold
  full_name: Preiner, Reinhold
  last_name: Preiner
- first_name: Claus
  full_name: Scheiblauer, Claus
  last_name: Scheiblauer
- first_name: Stefan
  full_name: Jeschke, Stefan
  id: 44D6411A-F248-11E8-B48F-1D18A9856A87
  last_name: Jeschke
- first_name: Michael
  full_name: Wimmer, Michael
  last_name: Wimmer
citation:
  ama: Arikan M, Preiner R, Scheiblauer C, Jeschke S, Wimmer M. Large-scale point-cloud
    visualization through localized textured surface reconstruction. <i>IEEE Transactions
    on Visualization and Computer Graphics</i>. 2014;20(9):1280-1292. doi:<a href="https://doi.org/10.1109/TVCG.2014.2312011">10.1109/TVCG.2014.2312011</a>
  apa: Arikan, M., Preiner, R., Scheiblauer, C., Jeschke, S., &#38; Wimmer, M. (2014).
    Large-scale point-cloud visualization through localized textured surface reconstruction.
    <i>IEEE Transactions on Visualization and Computer Graphics</i>. IEEE. <a href="https://doi.org/10.1109/TVCG.2014.2312011">https://doi.org/10.1109/TVCG.2014.2312011</a>
  chicago: Arikan, Murat, Reinhold Preiner, Claus Scheiblauer, Stefan Jeschke, and
    Michael Wimmer. “Large-Scale Point-Cloud Visualization through Localized Textured
    Surface Reconstruction.” <i>IEEE Transactions on Visualization and Computer Graphics</i>.
    IEEE, 2014. <a href="https://doi.org/10.1109/TVCG.2014.2312011">https://doi.org/10.1109/TVCG.2014.2312011</a>.
  ieee: M. Arikan, R. Preiner, C. Scheiblauer, S. Jeschke, and M. Wimmer, “Large-scale
    point-cloud visualization through localized textured surface reconstruction,”
    <i>IEEE Transactions on Visualization and Computer Graphics</i>, vol. 20, no.
    9. IEEE, pp. 1280–1292, 2014.
  ista: Arikan M, Preiner R, Scheiblauer C, Jeschke S, Wimmer M. 2014. Large-scale
    point-cloud visualization through localized textured surface reconstruction. IEEE
    Transactions on Visualization and Computer Graphics. 20(9), 1280–1292.
  mla: Arikan, Murat, et al. “Large-Scale Point-Cloud Visualization through Localized
    Textured Surface Reconstruction.” <i>IEEE Transactions on Visualization and Computer
    Graphics</i>, vol. 20, no. 9, IEEE, 2014, pp. 1280–92, doi:<a href="https://doi.org/10.1109/TVCG.2014.2312011">10.1109/TVCG.2014.2312011</a>.
  short: M. Arikan, R. Preiner, C. Scheiblauer, S. Jeschke, M. Wimmer, IEEE Transactions
    on Visualization and Computer Graphics 20 (2014) 1280–1292.
date_created: 2018-12-11T11:54:39Z
date_published: 2014-09-09T00:00:00Z
date_updated: 2021-01-12T06:53:59Z
day: '09'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1109/TVCG.2014.2312011
file:
- access_level: open_access
  checksum: 5bf58942d2eb20adf03c7f9ea2e68124
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:17:41Z
  date_updated: 2020-07-14T12:45:20Z
  file_id: '5297'
  file_name: IST-2016-573-v1+1_arikan-2014-pcvis-draft.pdf
  file_size: 13594598
  relation: main_file
file_date_updated: 2020-07-14T12:45:20Z
has_accepted_license: '1'
intvolume: '        20'
issue: '9'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Submitted Version
page: 1280 - 1292
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: IEEE Transactions on Visualization and Computer Graphics
publication_status: published
publisher: IEEE
publist_id: '5189'
pubrep_id: '573'
scopus_import: 1
status: public
title: Large-scale point-cloud visualization through localized textured surface reconstruction
type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 20
year: '2014'
...