---
_id: '8535'
abstract:
- lang: eng
  text: We propose a method to enhance the visual detail of a water surface simulation.
    Our method works as a post-processing step which takes a simulation as input and
    increases its apparent resolution by simulating many detailed Lagrangian water
    waves on top of it. We extend linear water wave theory to work in non-planar domains
    which deform over time, and we discretize the theory using Lagrangian wave packets
    attached to spline curves. The method is numerically stable and trivially parallelizable,
    and it produces high frequency ripples with dispersive wave-like behaviors customized
    to the underlying fluid simulation.
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. 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 and Marie SkłodowskaCurie Grant Agreement No. 665385.
article_number: '65'
article_processing_charge: No
article_type: original
author:
- first_name: Tomas
  full_name: Skrivan, Tomas
  id: 486A5A46-F248-11E8-B48F-1D18A9856A87
  last_name: Skrivan
- first_name: Andreas
  full_name: Soderstrom, Andreas
  last_name: Soderstrom
- first_name: John
  full_name: Johansson, John
  last_name: Johansson
- first_name: Christoph
  full_name: Sprenger, Christoph
  last_name: Sprenger
- first_name: Ken
  full_name: Museth, Ken
  last_name: Museth
- 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: 'Skrivan T, Soderstrom A, Johansson J, Sprenger C, Museth K, Wojtan C. Wave
    curves: Simulating Lagrangian water waves on dynamically deforming surfaces. <i>ACM
    Transactions on Graphics</i>. 2020;39(4). doi:<a href="https://doi.org/10.1145/3386569.3392466">10.1145/3386569.3392466</a>'
  apa: 'Skrivan, T., Soderstrom, A., Johansson, J., Sprenger, C., Museth, K., &#38;
    Wojtan, C. (2020). Wave curves: Simulating Lagrangian water waves on dynamically
    deforming surfaces. <i>ACM Transactions on Graphics</i>. Association for Computing
    Machinery. <a href="https://doi.org/10.1145/3386569.3392466">https://doi.org/10.1145/3386569.3392466</a>'
  chicago: 'Skrivan, Tomas, Andreas Soderstrom, John Johansson, Christoph Sprenger,
    Ken Museth, and Chris Wojtan. “Wave Curves: Simulating Lagrangian Water Waves
    on Dynamically Deforming Surfaces.” <i>ACM Transactions on Graphics</i>. Association
    for Computing Machinery, 2020. <a href="https://doi.org/10.1145/3386569.3392466">https://doi.org/10.1145/3386569.3392466</a>.'
  ieee: 'T. Skrivan, A. Soderstrom, J. Johansson, C. Sprenger, K. Museth, and C. Wojtan,
    “Wave curves: Simulating Lagrangian water waves on dynamically deforming surfaces,”
    <i>ACM Transactions on Graphics</i>, vol. 39, no. 4. Association for Computing
    Machinery, 2020.'
  ista: 'Skrivan T, Soderstrom A, Johansson J, Sprenger C, Museth K, Wojtan C. 2020.
    Wave curves: Simulating Lagrangian water waves on dynamically deforming surfaces.
    ACM Transactions on Graphics. 39(4), 65.'
  mla: 'Skrivan, Tomas, et al. “Wave Curves: Simulating Lagrangian Water Waves on
    Dynamically Deforming Surfaces.” <i>ACM Transactions on Graphics</i>, vol. 39,
    no. 4, 65, Association for Computing Machinery, 2020, doi:<a href="https://doi.org/10.1145/3386569.3392466">10.1145/3386569.3392466</a>.'
  short: T. Skrivan, A. Soderstrom, J. Johansson, C. Sprenger, K. Museth, C. Wojtan,
    ACM Transactions on Graphics 39 (2020).
date_created: 2020-09-20T22:01:37Z
date_published: 2020-07-08T00:00:00Z
date_updated: 2023-08-22T09:28:27Z
day: '08'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1145/3386569.3392466
ec_funded: 1
external_id:
  isi:
  - '000583700300038'
file:
- access_level: open_access
  checksum: c3a680893f01cc4a9e961ff0a4cfa12f
  content_type: application/pdf
  creator: dernst
  date_created: 2020-09-21T07:51:44Z
  date_updated: 2020-09-21T07:51:44Z
  file_id: '8541'
  file_name: 2020_ACM_Skrivan.pdf
  file_size: 20223953
  relation: main_file
  success: 1
file_date_updated: 2020-09-21T07:51:44Z
has_accepted_license: '1'
intvolume: '        39'
isi: 1
issue: '4'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 2533E772-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '638176'
  name: Efficient Simulation of Natural Phenomena at Extremely Large Scales
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
publication: ACM Transactions on Graphics
publication_identifier:
  eissn:
  - '15577368'
  issn:
  - '07300301'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Wave curves: Simulating Lagrangian water waves on dynamically deforming surfaces'
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 39
year: '2020'
...
---
_id: '6642'
abstract:
- lang: eng
  text: We present a thermodynamically based approach to the design of models for
    viscoelastic fluids with stress diffusion effect. In particular, we show how to
    add a stress diffusion term to some standard viscoelastic rate-type models (Giesekus,
    FENE-P, Johnson–Segalman, Phan-Thien–Tanner and Bautista–Manero–Puig) so that
    the resulting models with the added stress diffusion term are thermodynamically
    consistent in the sense that they obey the first and the second law of thermodynamics.
    We point out the potential applications of the provided thermodynamical background
    in the study of flows of fluids described by the proposed models.
article_number: '020002'
article_processing_charge: No
arxiv: 1
author:
- first_name: Mark
  full_name: Dostalík, Mark
  last_name: Dostalík
- first_name: Vít
  full_name: Pruša, Vít
  last_name: Pruša
- first_name: Tomas
  full_name: Skrivan, Tomas
  id: 486A5A46-F248-11E8-B48F-1D18A9856A87
  last_name: Skrivan
citation:
  ama: 'Dostalík M, Pruša V, Skrivan T. On diffusive variants of some classical viscoelastic
    rate-type models. In: <i>AIP Conference Proceedings</i>. Vol 2107. AIP Publishing;
    2019. doi:<a href="https://doi.org/10.1063/1.5109493">10.1063/1.5109493</a>'
  apa: 'Dostalík, M., Pruša, V., &#38; Skrivan, T. (2019). On diffusive variants of
    some classical viscoelastic rate-type models. In <i>AIP Conference Proceedings</i>
    (Vol. 2107). Zlin, Czech Republic: AIP Publishing. <a href="https://doi.org/10.1063/1.5109493">https://doi.org/10.1063/1.5109493</a>'
  chicago: Dostalík, Mark, Vít Pruša, and Tomas Skrivan. “On Diffusive Variants of
    Some Classical Viscoelastic Rate-Type Models.” In <i>AIP Conference Proceedings</i>,
    Vol. 2107. AIP Publishing, 2019. <a href="https://doi.org/10.1063/1.5109493">https://doi.org/10.1063/1.5109493</a>.
  ieee: M. Dostalík, V. Pruša, and T. Skrivan, “On diffusive variants of some classical
    viscoelastic rate-type models,” in <i>AIP Conference Proceedings</i>, Zlin, Czech
    Republic, 2019, vol. 2107.
  ista: Dostalík M, Pruša V, Skrivan T. 2019. On diffusive variants of some classical
    viscoelastic rate-type models. AIP Conference Proceedings. 8th International Conference
    on Novel Trends in Rheology vol. 2107, 020002.
  mla: Dostalík, Mark, et al. “On Diffusive Variants of Some Classical Viscoelastic
    Rate-Type Models.” <i>AIP Conference Proceedings</i>, vol. 2107, 020002, AIP Publishing,
    2019, doi:<a href="https://doi.org/10.1063/1.5109493">10.1063/1.5109493</a>.
  short: M. Dostalík, V. Pruša, T. Skrivan, in:, AIP Conference Proceedings, AIP Publishing,
    2019.
conference:
  end_date: 2019-07-31
  location: Zlin, Czech Republic
  name: 8th International Conference on Novel Trends in Rheology
  start_date: 2019-07-30
date_created: 2019-07-15T10:07:09Z
date_published: 2019-05-21T00:00:00Z
date_updated: 2024-02-28T13:01:28Z
day: '21'
department:
- _id: ChWo
doi: 10.1063/1.5109493
external_id:
  arxiv:
  - '1902.07983'
  isi:
  - '000479303100002'
intvolume: '      2107'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/1902.07983
month: '05'
oa: 1
oa_version: Preprint
publication: AIP Conference Proceedings
publication_status: published
publisher: AIP Publishing
quality_controlled: '1'
scopus_import: '1'
status: public
title: On diffusive variants of some classical viscoelastic rate-type models
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2107
year: '2019'
...
---
_id: '7002'
abstract:
- lang: eng
  text: Multiple Importance Sampling (MIS) is a key technique for achieving robustness
    of Monte Carlo estimators in computer graphics and other fields. We derive optimal
    weighting functions for MIS that provably minimize the variance of an MIS estimator,
    given a set of sampling techniques. We show that the resulting variance reduction
    over the balance heuristic can be higher than predicted by the variance bounds
    derived by Veach and Guibas, who assumed only non-negative weights in their proof.
    We theoretically analyze the variance of the optimal MIS weights and show the
    relation to the variance of the balance heuristic. Furthermore, we establish a
    connection between the new weighting functions and control variates as previously
    applied to mixture sampling. We apply the new optimal weights to integration problems
    in light transport and show that they allow for new design considerations when
    choosing the appropriate sampling techniques for a given integration problem.
article_number: '37'
article_processing_charge: No
article_type: original
author:
- first_name: Ivo
  full_name: Kondapaneni, Ivo
  last_name: Kondapaneni
- first_name: Petr
  full_name: Vevoda, Petr
  last_name: Vevoda
- first_name: Pascal
  full_name: Grittmann, Pascal
  last_name: Grittmann
- first_name: Tomas
  full_name: Skrivan, Tomas
  id: 486A5A46-F248-11E8-B48F-1D18A9856A87
  last_name: Skrivan
- first_name: Philipp
  full_name: Slusallek, Philipp
  last_name: Slusallek
- first_name: Jaroslav
  full_name: Křivánek, Jaroslav
  last_name: Křivánek
citation:
  ama: Kondapaneni I, Vevoda P, Grittmann P, Skrivan T, Slusallek P, Křivánek J. Optimal
    multiple importance sampling. <i>ACM Transactions on Graphics</i>. 2019;38(4).
    doi:<a href="https://doi.org/10.1145/3306346.3323009">10.1145/3306346.3323009</a>
  apa: Kondapaneni, I., Vevoda, P., Grittmann, P., Skrivan, T., Slusallek, P., &#38;
    Křivánek, J. (2019). Optimal multiple importance sampling. <i>ACM Transactions
    on Graphics</i>. ACM. <a href="https://doi.org/10.1145/3306346.3323009">https://doi.org/10.1145/3306346.3323009</a>
  chicago: Kondapaneni, Ivo, Petr Vevoda, Pascal Grittmann, Tomas Skrivan, Philipp
    Slusallek, and Jaroslav Křivánek. “Optimal Multiple Importance Sampling.” <i>ACM
    Transactions on Graphics</i>. ACM, 2019. <a href="https://doi.org/10.1145/3306346.3323009">https://doi.org/10.1145/3306346.3323009</a>.
  ieee: I. Kondapaneni, P. Vevoda, P. Grittmann, T. Skrivan, P. Slusallek, and J.
    Křivánek, “Optimal multiple importance sampling,” <i>ACM Transactions on Graphics</i>,
    vol. 38, no. 4. ACM, 2019.
  ista: Kondapaneni I, Vevoda P, Grittmann P, Skrivan T, Slusallek P, Křivánek J.
    2019. Optimal multiple importance sampling. ACM Transactions on Graphics. 38(4),
    37.
  mla: Kondapaneni, Ivo, et al. “Optimal Multiple Importance Sampling.” <i>ACM Transactions
    on Graphics</i>, vol. 38, no. 4, 37, ACM, 2019, doi:<a href="https://doi.org/10.1145/3306346.3323009">10.1145/3306346.3323009</a>.
  short: I. Kondapaneni, P. Vevoda, P. Grittmann, T. Skrivan, P. Slusallek, J. Křivánek,
    ACM Transactions on Graphics 38 (2019).
date_created: 2019-11-12T13:05:40Z
date_published: 2019-07-01T00:00:00Z
date_updated: 2023-08-30T07:21:25Z
day: '01'
department:
- _id: ChWo
doi: 10.1145/3306346.3323009
ec_funded: 1
external_id:
  isi:
  - '000475740600011'
intvolume: '        38'
isi: 1
issue: '4'
language:
- iso: eng
month: '07'
oa_version: None
project:
- _id: 2508E324-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '642841'
  name: Distributed 3D Object Design
publication: ACM Transactions on Graphics
publication_identifier:
  issn:
  - 0730-0301
publication_status: published
publisher: ACM
quality_controlled: '1'
scopus_import: '1'
status: public
title: Optimal multiple importance sampling
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 38
year: '2019'
...
---
_id: '7418'
abstract:
- lang: eng
  text: Multiple importance sampling (MIS) has become an indispensable tool in Monte
    Carlo rendering, widely accepted as a near-optimal solution for combining different
    sampling techniques. But an MIS combination, using the common balance or power
    heuristics, often results in an overly defensive estimator, leading to high variance.
    We show that by generalizing the MIS framework, variance can be substantially
    reduced. Specifically, we optimize one of the combined sampling techniques so
    as to decrease the overall variance of the resulting MIS estimator. We apply the
    approach to the computation of direct illumination due to an HDR environment map
    and to the computation of global illumination using a path guiding algorithm.
    The implementation can be as simple as subtracting a constant value from the tabulated
    sampling density done entirely in a preprocessing step. This produces a consistent
    noise reduction in all our tests with no negative influence on run time, no artifacts
    or bias, and no failure cases.
article_number: '151'
article_processing_charge: No
article_type: original
author:
- first_name: Ondřej
  full_name: Karlík, Ondřej
  last_name: Karlík
- first_name: Martin
  full_name: Šik, Martin
  last_name: Šik
- first_name: Petr
  full_name: Vévoda, Petr
  last_name: Vévoda
- first_name: Tomas
  full_name: Skrivan, Tomas
  id: 486A5A46-F248-11E8-B48F-1D18A9856A87
  last_name: Skrivan
- first_name: Jaroslav
  full_name: Křivánek, Jaroslav
  last_name: Křivánek
citation:
  ama: 'Karlík O, Šik M, Vévoda P, Skrivan T, Křivánek J. MIS compensation: Optimizing
    sampling techniques in multiple importance sampling. <i>ACM Transactions on Graphics</i>.
    2019;38(6). doi:<a href="https://doi.org/10.1145/3355089.3356565">10.1145/3355089.3356565</a>'
  apa: 'Karlík, O., Šik, M., Vévoda, P., Skrivan, T., &#38; Křivánek, J. (2019). MIS
    compensation: Optimizing sampling techniques in multiple importance sampling.
    <i>ACM Transactions on Graphics</i>. ACM. <a href="https://doi.org/10.1145/3355089.3356565">https://doi.org/10.1145/3355089.3356565</a>'
  chicago: 'Karlík, Ondřej, Martin Šik, Petr Vévoda, Tomas Skrivan, and Jaroslav Křivánek.
    “MIS Compensation: Optimizing Sampling Techniques in Multiple Importance Sampling.”
    <i>ACM Transactions on Graphics</i>. ACM, 2019. <a href="https://doi.org/10.1145/3355089.3356565">https://doi.org/10.1145/3355089.3356565</a>.'
  ieee: 'O. Karlík, M. Šik, P. Vévoda, T. Skrivan, and J. Křivánek, “MIS compensation:
    Optimizing sampling techniques in multiple importance sampling,” <i>ACM Transactions
    on Graphics</i>, vol. 38, no. 6. ACM, 2019.'
  ista: 'Karlík O, Šik M, Vévoda P, Skrivan T, Křivánek J. 2019. MIS compensation:
    Optimizing sampling techniques in multiple importance sampling. ACM Transactions
    on Graphics. 38(6), 151.'
  mla: 'Karlík, Ondřej, et al. “MIS Compensation: Optimizing Sampling Techniques in
    Multiple Importance Sampling.” <i>ACM Transactions on Graphics</i>, vol. 38, no.
    6, 151, ACM, 2019, doi:<a href="https://doi.org/10.1145/3355089.3356565">10.1145/3355089.3356565</a>.'
  short: O. Karlík, M. Šik, P. Vévoda, T. Skrivan, J. Křivánek, ACM Transactions on
    Graphics 38 (2019).
date_created: 2020-01-30T10:19:43Z
date_published: 2019-11-01T00:00:00Z
date_updated: 2023-09-06T15:22:23Z
day: '01'
department:
- _id: ChWo
doi: 10.1145/3355089.3356565
external_id:
  isi:
  - '000498397300001'
intvolume: '        38'
isi: 1
issue: '6'
language:
- iso: eng
month: '11'
oa_version: None
publication: ACM Transactions on Graphics
publication_identifier:
  eissn:
  - 1557-7368
  issn:
  - 0730-0301
publication_status: published
publisher: ACM
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'MIS compensation: Optimizing sampling techniques in multiple importance sampling'
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 38
year: '2019'
...
---
_id: '134'
abstract:
- lang: eng
  text: "The current state of the art in real-time two-dimensional water wave simulation
    requires developers to choose between efficient Fourier-based methods, which lack
    interactions with moving obstacles, and finite-difference or finite element methods,
    which handle environmental interactions but are significantly more expensive.
    This paper attempts to bridge this long-standing gap between complexity and performance,
    by proposing a new wave simulation method that can faithfully simulate wave interactions
    with moving obstacles in real time while simultaneously preserving minute details
    and accommodating very large simulation domains.\r\n\r\nPrevious methods for simulating
    2D water waves directly compute the change in height of the water surface, a strategy
    which imposes limitations based on the CFL condition (fast moving waves require
    small time steps) and Nyquist's limit (small wave details require closely-spaced
    simulation variables). This paper proposes a novel wavelet transformation that
    discretizes the liquid motion in terms of amplitude-like functions that vary over
    space, frequency, and direction, effectively generalizing Fourier-based methods
    to handle local interactions. Because these new variables change much more slowly
    over space than the original water height function, our change of variables drastically
    reduces the limitations of the CFL condition and Nyquist limit, allowing us to
    simulate highly detailed water waves at very large visual resolutions. Our discretization
    is amenable to fast summation and easy to parallelize. We also present basic extensions
    like pre-computed wave paths and two-way solid fluid coupling. Finally, we argue
    that our discretization provides a convenient set of variables for artistic manipulation,
    which we illustrate with a novel wave-painting interface."
acknowledged_ssus:
- _id: ScienComp
alternative_title:
- SIGGRAPH
article_number: '94'
article_processing_charge: No
author:
- first_name: Stefan
  full_name: Jeschke, Stefan
  id: 44D6411A-F248-11E8-B48F-1D18A9856A87
  last_name: Jeschke
- first_name: Tomas
  full_name: Skrivan, Tomas
  id: 486A5A46-F248-11E8-B48F-1D18A9856A87
  last_name: Skrivan
- first_name: Matthias
  full_name: Mueller Fischer, Matthias
  last_name: Mueller Fischer
- first_name: Nuttapong
  full_name: Chentanez, Nuttapong
  last_name: Chentanez
- first_name: Miles
  full_name: Macklin, Miles
  last_name: Macklin
- 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, Skrivan T, Mueller Fischer M, Chentanez N, Macklin M, Wojtan C.
    Water surface wavelets. <i>ACM Transactions on Graphics</i>. 2018;37(4). doi:<a
    href="https://doi.org/10.1145/3197517.3201336">10.1145/3197517.3201336</a>
  apa: Jeschke, S., Skrivan, T., Mueller Fischer, M., Chentanez, N., Macklin, M.,
    &#38; Wojtan, C. (2018). Water surface wavelets. <i>ACM Transactions on Graphics</i>.
    ACM. <a href="https://doi.org/10.1145/3197517.3201336">https://doi.org/10.1145/3197517.3201336</a>
  chicago: Jeschke, Stefan, Tomas Skrivan, Matthias Mueller Fischer, Nuttapong Chentanez,
    Miles Macklin, and Chris Wojtan. “Water Surface Wavelets.” <i>ACM Transactions
    on Graphics</i>. ACM, 2018. <a href="https://doi.org/10.1145/3197517.3201336">https://doi.org/10.1145/3197517.3201336</a>.
  ieee: S. Jeschke, T. Skrivan, M. Mueller Fischer, N. Chentanez, M. Macklin, and
    C. Wojtan, “Water surface wavelets,” <i>ACM Transactions on Graphics</i>, vol.
    37, no. 4. ACM, 2018.
  ista: Jeschke S, Skrivan T, Mueller Fischer M, Chentanez N, Macklin M, Wojtan C.
    2018. Water surface wavelets. ACM Transactions on Graphics. 37(4), 94.
  mla: Jeschke, Stefan, et al. “Water Surface Wavelets.” <i>ACM Transactions on Graphics</i>,
    vol. 37, no. 4, 94, ACM, 2018, doi:<a href="https://doi.org/10.1145/3197517.3201336">10.1145/3197517.3201336</a>.
  short: S. Jeschke, T. Skrivan, M. Mueller Fischer, N. Chentanez, M. Macklin, C.
    Wojtan, ACM Transactions on Graphics 37 (2018).
date_created: 2018-12-11T11:44:48Z
date_published: 2018-07-30T00:00:00Z
date_updated: 2024-02-28T13:58:51Z
day: '30'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1145/3197517.3201336
ec_funded: 1
external_id:
  isi:
  - '000448185000055'
file:
- access_level: open_access
  checksum: db75ebabe2ec432bf41389e614d6ef62
  content_type: application/pdf
  creator: dernst
  date_created: 2018-12-18T09:59:23Z
  date_updated: 2020-07-14T12:44:45Z
  file_id: '5744'
  file_name: 2018_ACM_Jeschke.pdf
  file_size: 22185016
  relation: main_file
file_date_updated: 2020-07-14T12:44:45Z
has_accepted_license: '1'
intvolume: '        37'
isi: 1
issue: '4'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-sa/4.0/
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 2533E772-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '638176'
  name: Efficient Simulation of Natural Phenomena at Extremely Large Scales
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
publication: ACM Transactions on Graphics
publication_status: published
publisher: ACM
publist_id: '7789'
quality_controlled: '1'
related_material:
  link:
  - description: News on IST Homepage
    relation: press_release
    url: https://ist.ac.at/en/news/new-water-simulation-captures-small-details-even-in-large-scenes/
scopus_import: '1'
status: public
title: Water surface wavelets
tmp:
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  legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC
    BY-NC-SA 4.0)
  short: CC BY-NC-SA (4.0)
type: journal_article
user_id: 2EBD1598-F248-11E8-B48F-1D18A9856A87
volume: 37
year: '2018'
...