---
_id: '9818'
abstract:
- lang: eng
text: Triangle mesh-based simulations are able to produce satisfying animations
of knitted and woven cloth; however, they lack the rich geometric detail of yarn-level
simulations. Naive texturing approaches do not consider yarn-level physics, while
full yarn-level simulations may become prohibitively expensive for large garments.
We propose a method to animate yarn-level cloth geometry on top of an underlying
deforming mesh in a mechanics-aware fashion. Using triangle strains to interpolate
precomputed yarn geometry, we are able to reproduce effects such as knit loops
tightening under stretching. In combination with precomputed mesh animation or
real-time mesh simulation, our method is able to animate yarn-level cloth in real-time
at large scales.
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
Seddi Labs for providing the garment model with fold-over seams.\r\nThis research
was supported by the Scientific Service Units (SSU) of IST Austria through resources
provided by Scientific\r\nComputing. 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: '168'
article_processing_charge: Yes (in subscription journal)
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. Mechanics-aware deformation of yarn pattern geometry.
ACM Transactions on Graphics. 2021;40(4). doi:10.1145/3450626.3459816
apa: Sperl, G., Narain, R., & Wojtan, C. (2021). Mechanics-aware deformation
of yarn pattern geometry. ACM Transactions on Graphics. Association for
Computing Machinery. https://doi.org/10.1145/3450626.3459816
chicago: Sperl, Georg, Rahul Narain, and Chris Wojtan. “Mechanics-Aware Deformation
of Yarn Pattern Geometry.” ACM Transactions on Graphics. Association for
Computing Machinery, 2021. https://doi.org/10.1145/3450626.3459816.
ieee: G. Sperl, R. Narain, and C. Wojtan, “Mechanics-aware deformation of yarn pattern
geometry,” ACM Transactions on Graphics, vol. 40, no. 4. Association for
Computing Machinery, 2021.
ista: Sperl G, Narain R, Wojtan C. 2021. Mechanics-aware deformation of yarn pattern
geometry. ACM Transactions on Graphics. 40(4), 168.
mla: Sperl, Georg, et al. “Mechanics-Aware Deformation of Yarn Pattern Geometry.”
ACM Transactions on Graphics, vol. 40, no. 4, 168, Association for Computing
Machinery, 2021, doi:10.1145/3450626.3459816.
short: G. Sperl, R. Narain, C. Wojtan, ACM Transactions on Graphics 40 (2021).
date_created: 2021-08-08T22:01:27Z
date_published: 2021-08-01T00:00:00Z
date_updated: 2023-08-10T14:24:36Z
day: '01'
department:
- _id: GradSch
- _id: ChWo
doi: 10.1145/3450626.3459816
ec_funded: 1
external_id:
isi:
- '000674930900132'
intvolume: ' 40'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1145/3450626.3459816
month: '08'
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
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- '15577368'
issn:
- '07300301'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
related_material:
link:
- description: News on IST Webpage
relation: press_release
url: https://ist.ac.at/en/news/knitting-virtual-yarn/
record:
- id: '12358'
relation: dissertation_contains
status: public
- id: '9327'
relation: software
status: public
scopus_import: '1'
status: public
title: Mechanics-aware deformation of yarn pattern geometry
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 40
year: '2021'
...
---
_id: '9819'
abstract:
- lang: eng
text: Photorealistic editing of head portraits is a challenging task as humans are
very sensitive to inconsistencies in faces. We present an approach for high-quality
intuitive editing of the camera viewpoint and scene illumination (parameterised
with an environment map) in a portrait image. This requires our method to capture
and control the full reflectance field of the person in the image. Most editing
approaches rely on supervised learning using training data captured with setups
such as light and camera stages. Such datasets are expensive to acquire, not readily
available and do not capture all the rich variations of in-the-wild portrait images.
In addition, most supervised approaches only focus on relighting, and do not allow
camera viewpoint editing. Thus, they only capture and control a subset of the
reflectance field. Recently, portrait editing has been demonstrated by operating
in the generative model space of StyleGAN. While such approaches do not require
direct supervision, there is a significant loss of quality when compared to the
supervised approaches. In this paper, we present a method which learns from limited
supervised training data. The training images only include people in a fixed neutral
expression with eyes closed, without much hair or background variations. Each
person is captured under 150 one-light-at-a-time conditions and under 8 camera
poses. Instead of training directly in the image space, we design a supervised
problem which learns transformations in the latent space of StyleGAN. This combines
the best of supervised learning and generative adversarial modeling. We show that
the StyleGAN prior allows for generalisation to different expressions, hairstyles
and backgrounds. This produces high-quality photorealistic results for in-the-wild
images and significantly outperforms existing methods. Our approach can edit the
illumination and pose simultaneously, and runs at interactive rates.
acknowledgement: This work was supported by the ERC Consolidator Grant 4DReply (770784).
We also acknowledge support from Technicolor and InterDigital. We thank Tiancheng
Sun for kindly helping us with the comparisons with Sun et al. [2019].
article_number: '44'
article_processing_charge: Yes (in subscription journal)
article_type: original
arxiv: 1
author:
- first_name: B. R.
full_name: Mallikarjun, B. R.
last_name: Mallikarjun
- first_name: Ayush
full_name: Tewari, Ayush
last_name: Tewari
- first_name: Abdallah
full_name: Dib, Abdallah
last_name: Dib
- first_name: Tim
full_name: Weyrich, Tim
last_name: Weyrich
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Hans Peter
full_name: Seidel, Hans Peter
last_name: Seidel
- first_name: Hanspeter
full_name: Pfister, Hanspeter
last_name: Pfister
- first_name: Wojciech
full_name: Matusik, Wojciech
last_name: Matusik
- first_name: Louis
full_name: Chevallier, Louis
last_name: Chevallier
- first_name: Mohamed A.
full_name: Elgharib, Mohamed A.
last_name: Elgharib
- first_name: Christian
full_name: Theobalt, Christian
last_name: Theobalt
citation:
ama: 'Mallikarjun BR, Tewari A, Dib A, et al. PhotoApp: Photorealistic appearance
editing of head portraits. ACM Transactions on Graphics. 2021;40(4). doi:10.1145/3450626.3459765'
apa: 'Mallikarjun, B. R., Tewari, A., Dib, A., Weyrich, T., Bickel, B., Seidel,
H. P., … Theobalt, C. (2021). PhotoApp: Photorealistic appearance editing of head
portraits. ACM Transactions on Graphics. Association for Computing Machinery.
https://doi.org/10.1145/3450626.3459765'
chicago: 'Mallikarjun, B. R., Ayush Tewari, Abdallah Dib, Tim Weyrich, Bernd Bickel,
Hans Peter Seidel, Hanspeter Pfister, et al. “PhotoApp: Photorealistic Appearance
Editing of Head Portraits.” ACM Transactions on Graphics. Association for
Computing Machinery, 2021. https://doi.org/10.1145/3450626.3459765.'
ieee: 'B. R. Mallikarjun et al., “PhotoApp: Photorealistic appearance editing
of head portraits,” ACM Transactions on Graphics, vol. 40, no. 4. Association
for Computing Machinery, 2021.'
ista: 'Mallikarjun BR, Tewari A, Dib A, Weyrich T, Bickel B, Seidel HP, Pfister
H, Matusik W, Chevallier L, Elgharib MA, Theobalt C. 2021. PhotoApp: Photorealistic
appearance editing of head portraits. ACM Transactions on Graphics. 40(4), 44.'
mla: 'Mallikarjun, B. R., et al. “PhotoApp: Photorealistic Appearance Editing of
Head Portraits.” ACM Transactions on Graphics, vol. 40, no. 4, 44, Association
for Computing Machinery, 2021, doi:10.1145/3450626.3459765.'
short: B.R. Mallikarjun, A. Tewari, A. Dib, T. Weyrich, B. Bickel, H.P. Seidel,
H. Pfister, W. Matusik, L. Chevallier, M.A. Elgharib, C. Theobalt, ACM Transactions
on Graphics 40 (2021).
date_created: 2021-08-08T22:01:27Z
date_published: 2021-08-01T00:00:00Z
date_updated: 2023-08-10T14:25:08Z
day: '01'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1145/3450626.3459765
external_id:
arxiv:
- '2103.07658'
isi:
- '000674930900011'
file:
- access_level: open_access
checksum: 51b61b7e5c175e2d7ed8fa3b35f7525a
content_type: application/pdf
creator: asandaue
date_created: 2021-08-09T11:41:50Z
date_updated: 2021-08-09T11:41:50Z
file_id: '9834'
file_name: 2021_ACMTransactionsOnGraphics_Mallikarjun.pdf
file_size: 49840741
relation: main_file
success: 1
file_date_updated: 2021-08-09T11:41:50Z
has_accepted_license: '1'
intvolume: ' 40'
isi: 1
issue: '4'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
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: 'PhotoApp: Photorealistic appearance editing of head portraits'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 40
year: '2021'
...
---
_id: '9820'
abstract:
- lang: eng
text: Material appearance hinges on material reflectance properties but also surface
geometry and illumination. The unlimited number of potential combinations between
these factors makes understanding and predicting material appearance a very challenging
task. In this work, we collect a large-scale dataset of perceptual ratings of
appearance attributes with more than 215,680 responses for 42,120 distinct combinations
of material, shape, and illumination. The goal of this dataset is twofold. First,
we analyze for the first time the effects of illumination and geometry in material
perception across such a large collection of varied appearances. We connect our
findings to those of the literature, discussing how previous knowledge generalizes
across very diverse materials, shapes, and illuminations. Second, we use the collected
dataset to train a deep learning architecture for predicting perceptual attributes
that correlate with human judgments. We demonstrate the consistent and robust
behavior of our predictor in various challenging scenarios, which, for the first
time, enables estimating perceived material attributes from general 2D images.
Since our predictor relies on the final appearance in an image, it can compare
appearance properties across different geometries and illumination conditions.
Finally, we demonstrate several applications that use our predictor, including
appearance reproduction using 3D printing, BRDF editing by integrating our predictor
in a differentiable renderer, illumination design, or material recommendations
for scene design.
acknowledgement: This project has received funding from the European Union’s Horizon
2020 research and innovation programme under the Marie Skłodowska-Curie, grant agreement
Nº 765911 (RealVision) and from the European Research Council (ERC), grant agreement
Nº 804226 (PERDY).
article_number: '125'
article_processing_charge: No
article_type: original
author:
- first_name: Ana
full_name: Serrano, Ana
last_name: Serrano
- first_name: Bin
full_name: Chen, Bin
last_name: Chen
- first_name: Chao
full_name: Wang, Chao
last_name: Wang
- first_name: Michael
full_name: Piovarci, Michael
id: 62E473F4-5C99-11EA-A40E-AF823DDC885E
last_name: Piovarci
orcid: 0000-0002-5062-4474
- first_name: Hans Peter
full_name: Seidel, Hans Peter
last_name: Seidel
- first_name: Piotr
full_name: Didyk, Piotr
last_name: Didyk
- first_name: Karol
full_name: Myszkowski, Karol
last_name: Myszkowski
citation:
ama: 'Serrano A, Chen B, Wang C, et al. The effect of shape and illumination on
material perception: Model and applications. ACM Transactions on Graphics.
2021;40(4). doi:10.1145/3450626.3459813'
apa: 'Serrano, A., Chen, B., Wang, C., Piovarci, M., Seidel, H. P., Didyk, P., &
Myszkowski, K. (2021). The effect of shape and illumination on material perception:
Model and applications. ACM Transactions on Graphics. Association for Computing
Machinery. https://doi.org/10.1145/3450626.3459813'
chicago: 'Serrano, Ana, Bin Chen, Chao Wang, Michael Piovarci, Hans Peter Seidel,
Piotr Didyk, and Karol Myszkowski. “The Effect of Shape and Illumination on Material
Perception: Model and Applications.” ACM Transactions on Graphics. Association
for Computing Machinery, 2021. https://doi.org/10.1145/3450626.3459813.'
ieee: 'A. Serrano et al., “The effect of shape and illumination on material
perception: Model and applications,” ACM Transactions on Graphics, vol.
40, no. 4. Association for Computing Machinery, 2021.'
ista: 'Serrano A, Chen B, Wang C, Piovarci M, Seidel HP, Didyk P, Myszkowski K.
2021. The effect of shape and illumination on material perception: Model and applications.
ACM Transactions on Graphics. 40(4), 125.'
mla: 'Serrano, Ana, et al. “The Effect of Shape and Illumination on Material Perception:
Model and Applications.” ACM Transactions on Graphics, vol. 40, no. 4,
125, Association for Computing Machinery, 2021, doi:10.1145/3450626.3459813.'
short: A. Serrano, B. Chen, C. Wang, M. Piovarci, H.P. Seidel, P. Didyk, K. Myszkowski,
ACM Transactions on Graphics 40 (2021).
date_created: 2021-08-08T22:01:28Z
date_published: 2021-08-01T00:00:00Z
date_updated: 2023-08-10T14:20:10Z
day: '01'
department:
- _id: BeBi
doi: 10.1145/3450626.3459813
external_id:
isi:
- '000674930900090'
intvolume: ' 40'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://zaguan.unizar.es/record/110704/files/texto_completo.pdf
month: '08'
oa: 1
oa_version: Submitted Version
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: 'The effect of shape and illumination on material perception: Model and applications'
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 40
year: '2021'
...
---
_id: '8384'
abstract:
- lang: eng
text: Previous research on animations of soap bubbles, films, and foams largely
focuses on the motion and geometric shape of the bubble surface. These works neglect
the evolution of the bubble’s thickness, which is normally responsible for visual
phenomena like surface vortices, Newton’s interference patterns, capillary waves,
and deformation-dependent rupturing of films in a foam. In this paper, we model
these natural phenomena by introducing the film thickness as a reduced degree
of freedom in the Navier-Stokes equations and deriving their equations of motion.
We discretize the equations on a nonmanifold triangle mesh surface and couple
it to an existing bubble solver. In doing so, we also introduce an incompressible
fluid solver for 2.5D films and a novel advection algorithm for convecting fields
across non-manifold surface junctions. Our simulations enhance state-of-the-art
bubble solvers with additional effects caused by convection, rippling, draining,
and evaporation of the thin film.
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, especially Camille
Schreck for her help in rendering. This research was supported by the Scientific
Service Units (SSU) of IST Austria through resources provided by Scientific Computing.
We would like to thank the authors of [Belcour and Barla 2017] for providing their
implementation, the authors of [Atkins and Elliott 2010] and [Seychelles et al.
2008] for allowing us to use their results, and Rok Grah for helpful discussions.
Finally, we thank Ryoichi Ando for many discussions from the beginning of the project
that resulted in important contents of the paper including our formulation, numerical
scheme, and initial implementation. This project has received funding from the\r\nEuropean
Research Council (ERC) under the European Union’s Horizon 2020 research and innovation
programme under grant agreement No. 638176."
article_number: '31'
article_processing_charge: No
article_type: original
author:
- first_name: Sadashige
full_name: Ishida, Sadashige
id: 6F7C4B96-A8E9-11E9-A7CA-09ECE5697425
last_name: Ishida
- first_name: Peter
full_name: Synak, Peter
id: 331776E2-F248-11E8-B48F-1D18A9856A87
last_name: Synak
- first_name: Fumiya
full_name: Narita, Fumiya
last_name: Narita
- first_name: Toshiya
full_name: Hachisuka, Toshiya
last_name: Hachisuka
- 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: Ishida S, Synak P, Narita F, Hachisuka T, Wojtan C. A model for soap film dynamics
with evolving thickness. ACM Transactions on Graphics. 2020;39(4). doi:10.1145/3386569.3392405
apa: Ishida, S., Synak, P., Narita, F., Hachisuka, T., & Wojtan, C. (2020).
A model for soap film dynamics with evolving thickness. ACM Transactions on
Graphics. Association for Computing Machinery. https://doi.org/10.1145/3386569.3392405
chicago: Ishida, Sadashige, Peter Synak, Fumiya Narita, Toshiya Hachisuka, and Chris
Wojtan. “A Model for Soap Film Dynamics with Evolving Thickness.” ACM Transactions
on Graphics. Association for Computing Machinery, 2020. https://doi.org/10.1145/3386569.3392405.
ieee: S. Ishida, P. Synak, F. Narita, T. Hachisuka, and C. Wojtan, “A model for
soap film dynamics with evolving thickness,” ACM Transactions on Graphics,
vol. 39, no. 4. Association for Computing Machinery, 2020.
ista: Ishida S, Synak P, Narita F, Hachisuka T, Wojtan C. 2020. A model for soap
film dynamics with evolving thickness. ACM Transactions on Graphics. 39(4), 31.
mla: Ishida, Sadashige, et al. “A Model for Soap Film Dynamics with Evolving Thickness.”
ACM Transactions on Graphics, vol. 39, no. 4, 31, Association for Computing
Machinery, 2020, doi:10.1145/3386569.3392405.
short: S. Ishida, P. Synak, F. Narita, T. Hachisuka, C. Wojtan, ACM Transactions
on Graphics 39 (2020).
date_created: 2020-09-13T22:01:18Z
date_published: 2020-07-08T00:00:00Z
date_updated: 2024-02-28T12:57:31Z
day: '08'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1145/3386569.3392405
ec_funded: 1
external_id:
isi:
- '000583700300004'
file:
- access_level: open_access
checksum: 813831ca91319d794d9748c276b24578
content_type: application/pdf
creator: dernst
date_created: 2020-11-23T09:03:19Z
date_updated: 2020-11-23T09:03:19Z
file_id: '8795'
file_name: 2020_soapfilm_submitted.pdf
file_size: 14935529
relation: main_file
success: 1
file_date_updated: 2020-11-23T09:03:19Z
has_accepted_license: '1'
intvolume: ' 39'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1145/3386569.3392405
month: '07'
oa: 1
oa_version: Submitted Version
project:
- _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_identifier:
eissn:
- '15577368'
issn:
- '07300301'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
scopus_import: '1'
status: public
title: A model for soap film dynamics with evolving thickness
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 39
year: '2020'
...
---
_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. ACM Transactions
on Graphics. 2020;39(4). doi:10.1145/3386569.3392412
apa: Sperl, G., Narain, R., & Wojtan, C. (2020). Homogenized yarn-level cloth.
ACM Transactions on Graphics. Association for Computing Machinery. https://doi.org/10.1145/3386569.3392412
chicago: Sperl, Georg, Rahul Narain, and Chris Wojtan. “Homogenized Yarn-Level Cloth.”
ACM Transactions on Graphics. Association for Computing Machinery, 2020.
https://doi.org/10.1145/3386569.3392412.
ieee: G. Sperl, R. Narain, and C. Wojtan, “Homogenized yarn-level cloth,” ACM
Transactions on Graphics, 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.” ACM Transactions on
Graphics, vol. 39, no. 4, 48, Association for Computing Machinery, 2020, doi:10.1145/3386569.3392412.
short: G. Sperl, R. Narain, C. Wojtan, ACM Transactions on Graphics 39 (2020).
date_created: 2020-09-13T22:01:18Z
date_published: 2020-07-08T00:00:00Z
date_updated: 2024-02-28T12:57:47Z
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call_identifier: H2020
grant_number: '638176'
name: Efficient Simulation of Natural Phenomena at Extremely Large Scales
publication: ACM Transactions on Graphics
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record:
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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'
...
---
_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. ACM
Transactions on Graphics. 2020;39(4). doi:10.1145/3386569.3392466'
apa: '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. Association for Computing
Machinery. https://doi.org/10.1145/3386569.3392466'
chicago: 'Skrivan, Tomas, Andreas Soderstrom, John Johansson, Christoph Sprenger,
Ken Museth, and Chris Wojtan. “Wave Curves: Simulating Lagrangian Water Waves
on Dynamically Deforming Surfaces.” ACM Transactions on Graphics. Association
for Computing Machinery, 2020. https://doi.org/10.1145/3386569.3392466.'
ieee: 'T. Skrivan, A. Soderstrom, J. Johansson, C. Sprenger, K. Museth, and C. Wojtan,
“Wave curves: Simulating Lagrangian water waves on dynamically deforming surfaces,”
ACM Transactions on Graphics, 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.” ACM Transactions on Graphics, vol. 39,
no. 4, 65, Association for Computing Machinery, 2020, doi:10.1145/3386569.3392466.'
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
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isi:
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file:
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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'
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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'
...