---
_id: '10922'
abstract:
- lang: eng
text: We study structural rigidity for assemblies with mechanical joints. Existing
methods identify whether an assembly is structurally rigid by assuming parts are
perfectly rigid. Yet, an assembly identified as rigid may not be that “rigid”
in practice, and existing methods cannot quantify how rigid an assembly is. We
address this limitation by developing a new measure, worst-case rigidity, to quantify
the rigidity of an assembly as the largest possible deformation that the assembly
undergoes for arbitrary external loads of fixed magnitude. Computing worst-case
rigidity is non-trivial due to non-rigid parts and different joint types. We thus
formulate a new computational approach by encoding parts and their connections
into a stiffness matrix, in which parts are modeled as deformable objects and
joints as soft constraints. Based on this, we formulate worst-case rigidity analysis
as an optimization that seeks the worst-case deformation of an assembly for arbitrary
external loads, and solve the optimization problem via an eigenanalysis. Furthermore,
we present methods to optimize the geometry and topology of various assemblies
to enhance their rigidity, as guided by our rigidity measure. In the end, we validate
our method on a variety of assembly structures with physical experiments and demonstrate
its effectiveness by designing and fabricating several structurally rigid assemblies.
acknowledged_ssus:
- _id: M-Shop
acknowledgement: "This work was supported by the Research Grants Council of the Hong
Kong Special Administrative Region, China [Project No.: CUHK 14201921] and the European
Research Council (ERC) under the European Union’s Horizon 2020 research and innovation
programme (grant agreement No 715767 – MATERIALIZABLE). We thank the anonymous reviewers
for their insightful feedback; Christian Hafner for proofreading and discussions;
Ziqi Wang,\r\nHaisen Zhao, and Martin Hafskjold Thoresen for the helpful discussions;
and the Miba Machine Shop at IST Austria for 3D printing the BUNNY and BOOMERANG
models."
article_processing_charge: No
article_type: original
author:
- first_name: Zhenyuan
full_name: Liu, Zhenyuan
id: 70f0d7cf-ae65-11ec-a14f-89dfc5505b19
last_name: Liu
orcid: 0000-0001-9200-5690
- first_name: Jingyu
full_name: Hu, Jingyu
last_name: Hu
- first_name: Hao
full_name: Xu, Hao
last_name: Xu
- first_name: Peng
full_name: Song, Peng
last_name: Song
- first_name: Ran
full_name: Zhang, Ran
last_name: Zhang
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Chi-Wing
full_name: Fu, Chi-Wing
last_name: Fu
citation:
ama: Liu Z, Hu J, Xu H, et al. Worst-case rigidity analysis and optimization for
assemblies with mechanical joints. Computer Graphics Forum. 2022;41(2):507-519.
doi:10.1111/cgf.14490
apa: Liu, Z., Hu, J., Xu, H., Song, P., Zhang, R., Bickel, B., & Fu, C.-W. (2022).
Worst-case rigidity analysis and optimization for assemblies with mechanical joints.
Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.14490
chicago: Liu, Zhenyuan, Jingyu Hu, Hao Xu, Peng Song, Ran Zhang, Bernd Bickel, and
Chi-Wing Fu. “Worst-Case Rigidity Analysis and Optimization for Assemblies with
Mechanical Joints.” Computer Graphics Forum. Wiley, 2022. https://doi.org/10.1111/cgf.14490.
ieee: Z. Liu et al., “Worst-case rigidity analysis and optimization for assemblies
with mechanical joints,” Computer Graphics Forum, vol. 41, no. 2. Wiley,
pp. 507–519, 2022.
ista: Liu Z, Hu J, Xu H, Song P, Zhang R, Bickel B, Fu C-W. 2022. Worst-case rigidity
analysis and optimization for assemblies with mechanical joints. Computer Graphics
Forum. 41(2), 507–519.
mla: Liu, Zhenyuan, et al. “Worst-Case Rigidity Analysis and Optimization for Assemblies
with Mechanical Joints.” Computer Graphics Forum, vol. 41, no. 2, Wiley,
2022, pp. 507–19, doi:10.1111/cgf.14490.
short: Z. Liu, J. Hu, H. Xu, P. Song, R. Zhang, B. Bickel, C.-W. Fu, Computer Graphics
Forum 41 (2022) 507–519.
date_created: 2022-03-27T17:34:17Z
date_published: 2022-05-01T00:00:00Z
date_updated: 2023-08-03T06:17:13Z
day: '01'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1111/cgf.14490
ec_funded: 1
external_id:
isi:
- '000802723900039'
file:
- access_level: open_access
checksum: b62188b07f5c000f1638c782ec92da41
content_type: application/pdf
creator: bbickel
date_created: 2022-03-27T17:34:11Z
date_updated: 2022-03-27T17:34:11Z
file_id: '10923'
file_name: paper.pdf
file_size: 19601689
relation: main_file
file_date_updated: 2022-03-27T17:34:11Z
has_accepted_license: '1'
intvolume: ' 41'
isi: 1
issue: '2'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Submitted Version
page: 507-519
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: Computer Graphics Forum
publication_identifier:
eissn:
- 1467-8659
issn:
- 0167-7055
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Worst-case rigidity analysis and optimization for assemblies with mechanical
joints
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 41
year: '2022'
...
---
_id: '11432'
abstract:
- lang: eng
text: "This paper proposes a method for simulating liquids in large bodies of water
by coupling together a water surface wave simulator with a 3D Navier-Stokes simulator.
The surface wave simulation uses the equivalent sources method (ESM) to efficiently
animate large bodies of water with precisely controllable wave propagation behavior.
The 3D liquid simulator animates complex non-linear fluid behaviors like splashes
and breaking waves using off-the-shelf simulators using FLIP or the level set
method with semi-Lagrangian advection.\r\nWe combine the two approaches by using
the 3D solver to animate localized non-linear behaviors, and the 2D wave solver
to animate larger regions with linear surface physics. We use the surface motion
from the 3D solver as boundary conditions for 2D surface wave simulator, and we
use the velocity and surface heights from the 2D surface wave simulator as boundary
conditions for the 3D fluid simulation. We also introduce a novel technique for
removing visual artifacts caused by numerical errors in 3D fluid solvers: we use
experimental data to estimate the artificial dispersion caused by the 3D solver
and we then carefully tune the wave speeds of the 2D solver to match it, effectively
eliminating any differences in wave behavior across the boundary. To the best
of our knowledge, this is the first time such a empirically driven error compensation
approach has been used to remove coupling errors from a physics simulator.\r\nOur
coupled simulation approach leverages the strengths of each simulation technique,
animating large environments with seamless transitions between 2D and 3D physics."
acknowledged_ssus:
- _id: ScienComp
acknowledgement: We wish to thank the anonymous reviewers and the members of the Visual
Computing Group at IST Austria and MFX Team at INRIA 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.
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: Christopher J
full_name: Wojtan, Christopher J
id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
last_name: Wojtan
orcid: 0000-0001-6646-5546
citation:
ama: Schreck C, Wojtan C. Coupling 3D liquid simulation with 2D wave propagation
for large scale water surface animation using the equivalent sources method. Computer
Graphics Forum. 2022;41(2):343-353. doi:10.1111/cgf.14478
apa: Schreck, C., & Wojtan, C. (2022). Coupling 3D liquid simulation with 2D
wave propagation for large scale water surface animation using the equivalent
sources method. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.14478
chicago: Schreck, Camille, and Chris Wojtan. “Coupling 3D Liquid Simulation with
2D Wave Propagation for Large Scale Water Surface Animation Using the Equivalent
Sources Method.” Computer Graphics Forum. Wiley, 2022. https://doi.org/10.1111/cgf.14478.
ieee: C. Schreck and C. Wojtan, “Coupling 3D liquid simulation with 2D wave propagation
for large scale water surface animation using the equivalent sources method,”
Computer Graphics Forum, vol. 41, no. 2. Wiley, pp. 343–353, 2022.
ista: Schreck C, Wojtan C. 2022. Coupling 3D liquid simulation with 2D wave propagation
for large scale water surface animation using the equivalent sources method. Computer
Graphics Forum. 41(2), 343–353.
mla: Schreck, Camille, and Chris Wojtan. “Coupling 3D Liquid Simulation with 2D
Wave Propagation for Large Scale Water Surface Animation Using the Equivalent
Sources Method.” Computer Graphics Forum, vol. 41, no. 2, Wiley, 2022,
pp. 343–53, doi:10.1111/cgf.14478.
short: C. Schreck, C. Wojtan, Computer Graphics Forum 41 (2022) 343–353.
date_created: 2022-06-05T22:01:49Z
date_published: 2022-05-01T00:00:00Z
date_updated: 2023-08-02T06:44:05Z
day: '01'
department:
- _id: ChWo
doi: 10.1111/cgf.14478
ec_funded: 1
external_id:
isi:
- '000802723900027'
intvolume: ' 41'
isi: 1
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://hal.archives-ouvertes.fr/hal-03641349/
month: '05'
oa: 1
oa_version: Submitted Version
page: 343-353
project:
- _id: 2533E772-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '638176'
name: Efficient Simulation of Natural Phenomena at Extremely Large Scales
publication: Computer Graphics Forum
publication_identifier:
eissn:
- 1467-8659
issn:
- 0167-7055
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Coupling 3D liquid simulation with 2D wave propagation for large scale water
surface animation using the equivalent sources method
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 41
year: '2022'
...
---
_id: '11993'
abstract:
- lang: eng
text: Moulding refers to a set of manufacturing techniques in which a mould, usually
a cavity or a solid frame, is used to shape a liquid or pliable material into
an object of the desired shape. The popularity of moulding comes from its effectiveness,
scalability and versatility in terms of employed materials. Its relevance as a
fabrication process is demonstrated by the extensive literature covering different
aspects related to mould design, from material flow simulation to the automation
of mould geometry design. In this state-of-the-art report, we provide an extensive
review of the automatic methods for the design of moulds, focusing on contributions
from a geometric perspective. We classify existing mould design methods based
on their computational approach and the nature of their target moulding process.
We summarize the relationships between computational approaches and moulding techniques,
highlighting their strengths and limitations. Finally, we discuss potential future
research directions.
article_processing_charge: No
article_type: original
author:
- first_name: Thomas
full_name: Alderighi, Thomas
last_name: Alderighi
- first_name: Luigi
full_name: Malomo, Luigi
last_name: Malomo
- first_name: Thomas
full_name: Auzinger, Thomas
id: 4718F954-F248-11E8-B48F-1D18A9856A87
last_name: Auzinger
orcid: 0000-0002-1546-3265
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Paulo
full_name: Cignoni, Paulo
last_name: Cignoni
- first_name: Nico
full_name: Pietroni, Nico
last_name: Pietroni
citation:
ama: Alderighi T, Malomo L, Auzinger T, Bickel B, Cignoni P, Pietroni N. State of
the art in computational mould design. Computer Graphics Forum. 2022;41(6):435-452.
doi:10.1111/cgf.14581
apa: Alderighi, T., Malomo, L., Auzinger, T., Bickel, B., Cignoni, P., & Pietroni,
N. (2022). State of the art in computational mould design. Computer Graphics
Forum. Wiley. https://doi.org/10.1111/cgf.14581
chicago: Alderighi, Thomas, Luigi Malomo, Thomas Auzinger, Bernd Bickel, Paulo Cignoni,
and Nico Pietroni. “State of the Art in Computational Mould Design.” Computer
Graphics Forum. Wiley, 2022. https://doi.org/10.1111/cgf.14581.
ieee: T. Alderighi, L. Malomo, T. Auzinger, B. Bickel, P. Cignoni, and N. Pietroni,
“State of the art in computational mould design,” Computer Graphics Forum,
vol. 41, no. 6. Wiley, pp. 435–452, 2022.
ista: Alderighi T, Malomo L, Auzinger T, Bickel B, Cignoni P, Pietroni N. 2022.
State of the art in computational mould design. Computer Graphics Forum. 41(6),
435–452.
mla: Alderighi, Thomas, et al. “State of the Art in Computational Mould Design.”
Computer Graphics Forum, vol. 41, no. 6, Wiley, 2022, pp. 435–52, doi:10.1111/cgf.14581.
short: T. Alderighi, L. Malomo, T. Auzinger, B. Bickel, P. Cignoni, N. Pietroni,
Computer Graphics Forum 41 (2022) 435–452.
date_created: 2022-08-28T18:17:01Z
date_published: 2022-09-01T00:00:00Z
date_updated: 2023-08-03T13:21:55Z
day: '01'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1111/cgf.14581
external_id:
isi:
- '000842638900001'
file:
- access_level: open_access
checksum: c40cc8ceb7b7f0512172b883d712198e
content_type: application/pdf
creator: bbickel
date_created: 2022-08-28T18:18:08Z
date_updated: 2022-08-28T18:18:08Z
description: 'This is the pre-peer reviewed version of the following article: Alderighi,
T., Malomo, L., Auzinger, T., Bickel, B., Cignoni, P. and Pietroni, N. (2022),
State of the Art in Computational Mould Design. Computer Graphics Forum, which
has been published in final form at https://doi.org/10.1111/cgf.14581. This article
may be used for non-commercial purposes in accordance with Wiley Terms and Conditions
for Use of Self-Archived Versions.'
file_id: '11994'
file_name: star_molding_preprint.pdf
file_size: 32480850
relation: main_file
title: pre-peer reviewed version
file_date_updated: 2022-08-28T18:18:08Z
has_accepted_license: '1'
intvolume: ' 41'
isi: 1
issue: '6'
keyword:
- Computer Graphics and Computer-Aided Design
language:
- iso: eng
month: '09'
oa: 1
oa_version: Submitted Version
page: 435-452
publication: Computer Graphics Forum
publication_identifier:
eissn:
- 1467-8659
issn:
- 0167-7055
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: State of the art in computational mould design
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 41
year: '2022'
...
---
_id: '9547'
abstract:
- lang: eng
text: With the wider availability of full-color 3D printers, color-accurate 3D-print
preparation has received increased attention. A key challenge lies in the inherent
translucency of commonly used print materials that blurs out details of the color
texture. Previous work tries to compensate for these scattering effects through
strategic assignment of colored primary materials to printer voxels. To date,
the highest-quality approach uses iterative optimization that relies on computationally
expensive Monte Carlo light transport simulation to predict the surface appearance
from subsurface scattering within a given print material distribution; that optimization,
however, takes in the order of days on a single machine. In our work, we dramatically
speed up the process by replacing the light transport simulation with a data-driven
approach. Leveraging a deep neural network to predict the scattering within a
highly heterogeneous medium, our method performs around two orders of magnitude
faster than Monte Carlo rendering while yielding optimization results of similar
quality level. The network is based on an established method from atmospheric
cloud rendering, adapted to our domain and extended by a physically motivated
weight sharing scheme that substantially reduces the network size. We analyze
its performance in an end-to-end print preparation pipeline and compare quality
and runtime to alternative approaches, and demonstrate its generalization to unseen
geometry and material values. This for the first time enables full heterogenous
material optimization for 3D-print preparation within time frames in the order
of the actual printing time.
acknowledgement: We thank Sebastian Cucerca for processing and capturing the phys-cal
printouts. This work was supported by the Charles University grant SVV-260588 and
Czech Science Foundation grant 19-07626S. This project has received funding from
the European Union’s Horizon 2020 research and innovation programme, under the Marie
Skłodowska Curie grant agreements No 642841 (DISTRO) and No765911 (RealVision),
and under the European Research Council grant agreement No 715767 (MATERIALIZABLE).
article_processing_charge: No
article_type: original
author:
- first_name: Tobias
full_name: Rittig, Tobias
last_name: Rittig
- first_name: Denis
full_name: Sumin, Denis
last_name: Sumin
- first_name: Vahid
full_name: Babaei, Vahid
last_name: Babaei
- first_name: Piotr
full_name: Didyk, Piotr
last_name: Didyk
- first_name: Alexey
full_name: Voloboy, Alexey
last_name: Voloboy
- first_name: Alexander
full_name: Wilkie, Alexander
last_name: Wilkie
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Karol
full_name: Myszkowski, Karol
last_name: Myszkowski
- first_name: Tim
full_name: Weyrich, Tim
last_name: Weyrich
- first_name: Jaroslav
full_name: Křivánek, Jaroslav
last_name: Křivánek
citation:
ama: Rittig T, Sumin D, Babaei V, et al. Neural acceleration of scattering-aware
color 3D printing. Computer Graphics Forum. 2021;40(2):205-219. doi:10.1111/cgf.142626
apa: Rittig, T., Sumin, D., Babaei, V., Didyk, P., Voloboy, A., Wilkie, A., … Křivánek,
J. (2021). Neural acceleration of scattering-aware color 3D printing. Computer
Graphics Forum. Wiley. https://doi.org/10.1111/cgf.142626
chicago: Rittig, Tobias, Denis Sumin, Vahid Babaei, Piotr Didyk, Alexey Voloboy,
Alexander Wilkie, Bernd Bickel, Karol Myszkowski, Tim Weyrich, and Jaroslav Křivánek.
“Neural Acceleration of Scattering-Aware Color 3D Printing.” Computer Graphics
Forum. Wiley, 2021. https://doi.org/10.1111/cgf.142626.
ieee: T. Rittig et al., “Neural acceleration of scattering-aware color 3D
printing,” Computer Graphics Forum, vol. 40, no. 2. Wiley, pp. 205–219,
2021.
ista: Rittig T, Sumin D, Babaei V, Didyk P, Voloboy A, Wilkie A, Bickel B, Myszkowski
K, Weyrich T, Křivánek J. 2021. Neural acceleration of scattering-aware color
3D printing. Computer Graphics Forum. 40(2), 205–219.
mla: Rittig, Tobias, et al. “Neural Acceleration of Scattering-Aware Color 3D Printing.”
Computer Graphics Forum, vol. 40, no. 2, Wiley, 2021, pp. 205–19, doi:10.1111/cgf.142626.
short: T. Rittig, D. Sumin, V. Babaei, P. Didyk, A. Voloboy, A. Wilkie, B. Bickel,
K. Myszkowski, T. Weyrich, J. Křivánek, Computer Graphics Forum 40 (2021) 205–219.
date_created: 2021-06-13T22:01:32Z
date_published: 2021-05-01T00:00:00Z
date_updated: 2023-08-14T08:01:50Z
day: '01'
ddc:
- '004'
department:
- _id: BeBi
doi: 10.1111/cgf.142626
ec_funded: 1
external_id:
isi:
- '000657959600017'
file:
- access_level: open_access
checksum: 33271724215f54a75c39d2ed40f2c502
content_type: application/pdf
creator: bbickel
date_created: 2021-10-11T12:06:50Z
date_updated: 2021-10-11T12:06:50Z
file_id: '10120'
file_name: ScatteringAwareColor3DPrinting_authorVersion.pdf
file_size: 26026501
relation: main_file
success: 1
file_date_updated: 2021-10-11T12:06:50Z
has_accepted_license: '1'
intvolume: ' 40'
isi: 1
issue: '2'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Submitted Version
page: 205-219
project:
- _id: 2508E324-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '642841'
name: Distributed 3D Object Design
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: Computer Graphics Forum
publication_identifier:
eissn:
- 1467-8659
issn:
- 0167-7055
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Neural acceleration of scattering-aware color 3D printing
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 40
year: '2021'
...
---
_id: '10404'
abstract:
- lang: eng
text: While convolutional neural networks (CNNs) have found wide adoption as state-of-the-art
models for image-related tasks, their predictions are often highly sensitive to
small input perturbations, which the human vision is robust against. This paper
presents Perturber, a web-based application that allows users to instantaneously
explore how CNN activations and predictions evolve when a 3D input scene is interactively
perturbed. Perturber offers a large variety of scene modifications, such as camera
controls, lighting and shading effects, background modifications, object morphing,
as well as adversarial attacks, to facilitate the discovery of potential vulnerabilities.
Fine-tuned model versions can be directly compared for qualitative evaluation
of their robustness. Case studies with machine learning experts have shown that
Perturber helps users to quickly generate hypotheses about model vulnerabilities
and to qualitatively compare model behavior. Using quantitative analyses, we could
replicate users’ insights with other CNN architectures and input images, yielding
new insights about the vulnerability of adversarially trained models.
acknowledgement: "We thank Robert Geirhos and Roland Zimmermann for their participation
in the case study and valuable feedback, Chris Olah and Nick Cammarata for valuable
discussions in the early phase of the project, as well as the Distill Slack workspace
as a platform for discussions. M.L. is supported in part by the Austrian Science
Fund (FWF) under grant Z211-N23 (Wittgenstein Award). J.B. is supported by the German
Federal Ministry of Education and Research\r\n(BMBF) through the Competence Center
for Machine Learning (TUE.AI, FKZ 01IS18039A) and the International Max Planck Research
School for Intelligent Systems (IMPRS-IS). R.H. is partially supported by Boeing
and Horizon-2020 ECSEL (grant 783163, iDev40).\r\n"
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Stefan
full_name: Sietzen, Stefan
last_name: Sietzen
- first_name: Mathias
full_name: Lechner, Mathias
id: 3DC22916-F248-11E8-B48F-1D18A9856A87
last_name: Lechner
- first_name: Judy
full_name: Borowski, Judy
last_name: Borowski
- first_name: Ramin
full_name: Hasani, Ramin
last_name: Hasani
- first_name: Manuela
full_name: Waldner, Manuela
last_name: Waldner
citation:
ama: Sietzen S, Lechner M, Borowski J, Hasani R, Waldner M. Interactive analysis
of CNN robustness. Computer Graphics Forum. 2021;40(7):253-264. doi:10.1111/cgf.14418
apa: Sietzen, S., Lechner, M., Borowski, J., Hasani, R., & Waldner, M. (2021).
Interactive analysis of CNN robustness. Computer Graphics Forum. Wiley.
https://doi.org/10.1111/cgf.14418
chicago: Sietzen, Stefan, Mathias Lechner, Judy Borowski, Ramin Hasani, and Manuela
Waldner. “Interactive Analysis of CNN Robustness.” Computer Graphics Forum.
Wiley, 2021. https://doi.org/10.1111/cgf.14418.
ieee: S. Sietzen, M. Lechner, J. Borowski, R. Hasani, and M. Waldner, “Interactive
analysis of CNN robustness,” Computer Graphics Forum, vol. 40, no. 7. Wiley,
pp. 253–264, 2021.
ista: Sietzen S, Lechner M, Borowski J, Hasani R, Waldner M. 2021. Interactive analysis
of CNN robustness. Computer Graphics Forum. 40(7), 253–264.
mla: Sietzen, Stefan, et al. “Interactive Analysis of CNN Robustness.” Computer
Graphics Forum, vol. 40, no. 7, Wiley, 2021, pp. 253–64, doi:10.1111/cgf.14418.
short: S. Sietzen, M. Lechner, J. Borowski, R. Hasani, M. Waldner, Computer Graphics
Forum 40 (2021) 253–264.
date_created: 2021-12-05T23:01:40Z
date_published: 2021-11-27T00:00:00Z
date_updated: 2023-08-14T13:11:42Z
day: '27'
department:
- _id: ToHe
doi: 10.1111/cgf.14418
external_id:
arxiv:
- '2110.07667'
isi:
- '000722952000024'
intvolume: ' 40'
isi: 1
issue: '7'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2110.07667
month: '11'
oa: 1
oa_version: Preprint
page: 253-264
project:
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
publication: Computer Graphics Forum
publication_identifier:
eissn:
- 1467-8659
issn:
- 0167-7055
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Interactive analysis of CNN robustness
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 40
year: '2021'
...
---
_id: '8765'
abstract:
- lang: eng
text: This paper introduces a simple method for simulating highly anisotropic elastoplastic
material behaviors like the dissolution of fibrous phenomena (splintering wood,
shredding bales of hay) and materials composed of large numbers of irregularly‐shaped
bodies (piles of twigs, pencils, or cards). We introduce a simple transformation
of the anisotropic problem into an equivalent isotropic one, and we solve this
new “fictitious” isotropic problem using an existing simulator based on the material
point method. Our approach results in minimal changes to existing simulators,
and it allows us to re‐use popular isotropic plasticity models like the Drucker‐Prager
yield criterion instead of inventing new anisotropic plasticity models for every
phenomenon we wish to simulate.
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. We would also like to thank Joseph Teran and Chenfanfu
Jiang for the helpful discussions.\r\nThis 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."
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: Christopher J
full_name: Wojtan, Christopher J
id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
last_name: Wojtan
orcid: 0000-0001-6646-5546
citation:
ama: Schreck C, Wojtan C. A practical method for animating anisotropic elastoplastic
materials. Computer Graphics Forum. 2020;39(2):89-99. doi:10.1111/cgf.13914
apa: Schreck, C., & Wojtan, C. (2020). A practical method for animating anisotropic
elastoplastic materials. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.13914
chicago: Schreck, Camille, and Chris Wojtan. “A Practical Method for Animating Anisotropic
Elastoplastic Materials.” Computer Graphics Forum. Wiley, 2020. https://doi.org/10.1111/cgf.13914.
ieee: C. Schreck and C. Wojtan, “A practical method for animating anisotropic elastoplastic
materials,” Computer Graphics Forum, vol. 39, no. 2. Wiley, pp. 89–99,
2020.
ista: Schreck C, Wojtan C. 2020. A practical method for animating anisotropic elastoplastic
materials. Computer Graphics Forum. 39(2), 89–99.
mla: Schreck, Camille, and Chris Wojtan. “A Practical Method for Animating Anisotropic
Elastoplastic Materials.” Computer Graphics Forum, vol. 39, no. 2, Wiley,
2020, pp. 89–99, doi:10.1111/cgf.13914.
short: C. Schreck, C. Wojtan, Computer Graphics Forum 39 (2020) 89–99.
date_created: 2020-11-17T09:35:10Z
date_published: 2020-05-01T00:00:00Z
date_updated: 2023-09-05T16:00:13Z
day: '01'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1111/cgf.13914
ec_funded: 1
external_id:
isi:
- '000548709600008'
file:
- access_level: open_access
checksum: 7605f605acd84d0942b48bc7a1c2d72e
content_type: application/pdf
creator: dernst
date_created: 2020-11-23T09:05:13Z
date_updated: 2020-11-23T09:05:13Z
file_id: '8796'
file_name: 2020_poff_revisited.pdf
file_size: 38969122
relation: main_file
success: 1
file_date_updated: 2020-11-23T09:05:13Z
has_accepted_license: '1'
intvolume: ' 39'
isi: 1
issue: '2'
keyword:
- Computer Networks and Communications
language:
- iso: eng
month: '05'
oa: 1
oa_version: Submitted Version
page: 89-99
project:
- _id: 2533E772-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '638176'
name: Efficient Simulation of Natural Phenomena at Extremely Large Scales
publication: Computer Graphics Forum
publication_identifier:
eissn:
- 1467-8659
issn:
- 0167-7055
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: A practical method for animating anisotropic elastoplastic materials
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 39
year: '2020'
...
---
_id: '6003'
abstract:
- lang: eng
text: Digital fabrication devices are powerful tools for creating tangible reproductions
of 3D digital models. Most available printing technologies aim at producing an
accurate copy of a tridimensional shape. However, fabrication technologies can
also be used to create a stylistic representation of a digital shape. We refer
to this class of methods as ‘stylized fabrication methods’. These methods abstract
geometric and physical features of a given shape to create an unconventional representation,
to produce an optical illusion or to devise a particular interaction with the
fabricated model. In this state‐of‐the‐art report, we classify and overview this
broad and emerging class of approaches and also propose possible directions for
future research.
article_processing_charge: No
author:
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Paolo
full_name: Cignoni, Paolo
last_name: Cignoni
- first_name: Luigi
full_name: Malomo, Luigi
last_name: Malomo
- first_name: Nico
full_name: Pietroni, Nico
last_name: Pietroni
citation:
ama: Bickel B, Cignoni P, Malomo L, Pietroni N. State of the art on stylized fabrication.
Computer Graphics Forum. 2018;37(6):325-342. doi:10.1111/cgf.13327
apa: Bickel, B., Cignoni, P., Malomo, L., & Pietroni, N. (2018). State of the
art on stylized fabrication. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.13327
chicago: Bickel, Bernd, Paolo Cignoni, Luigi Malomo, and Nico Pietroni. “State of
the Art on Stylized Fabrication.” Computer Graphics Forum. Wiley, 2018.
https://doi.org/10.1111/cgf.13327.
ieee: B. Bickel, P. Cignoni, L. Malomo, and N. Pietroni, “State of the art on stylized
fabrication,” Computer Graphics Forum, vol. 37, no. 6. Wiley, pp. 325–342,
2018.
ista: Bickel B, Cignoni P, Malomo L, Pietroni N. 2018. State of the art on stylized
fabrication. Computer Graphics Forum. 37(6), 325–342.
mla: Bickel, Bernd, et al. “State of the Art on Stylized Fabrication.” Computer
Graphics Forum, vol. 37, no. 6, Wiley, 2018, pp. 325–42, doi:10.1111/cgf.13327.
short: B. Bickel, P. Cignoni, L. Malomo, N. Pietroni, Computer Graphics Forum 37
(2018) 325–342.
date_created: 2019-02-14T13:52:25Z
date_published: 2018-09-01T00:00:00Z
date_updated: 2023-09-19T14:33:40Z
day: '01'
ddc:
- '004'
department:
- _id: BeBi
doi: 10.1111/cgf.13327
ec_funded: 1
external_id:
isi:
- '000437272800019'
file:
- access_level: open_access
checksum: d2bbe5c658d8159fbe9016a4f5e82b19
content_type: application/pdf
creator: kschuh
date_created: 2019-02-14T14:09:28Z
date_updated: 2020-07-14T12:47:15Z
file_id: '6004'
file_name: StylizedFabricationSTAR-Personal.pdf
file_size: 6209349
relation: main_file
file_date_updated: 2020-07-14T12:47:15Z
has_accepted_license: '1'
intvolume: ' 37'
isi: 1
issue: '6'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Submitted Version
page: 325-342
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: Computer Graphics Forum
publication_identifier:
issn:
- 0167-7055
publication_status: published
publisher: Wiley
pubrep_id: '1051'
quality_controlled: '1'
scopus_import: '1'
status: public
title: State of the art on stylized fabrication
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 37
year: '2018'
...
---
_id: '135'
abstract:
- lang: eng
text: The Fluid Implicit Particle method (FLIP) reduces numerical dissipation by
combining particles with grids. To improve performance, the subsequent narrow
band FLIP method (NB‐FLIP) uses a FLIP‐based fluid simulation only near the liquid
surface and a traditional grid‐based fluid simulation away from the surface. This
spatially‐limited FLIP simulation significantly reduces the number of particles
and alleviates a computational bottleneck. In this paper, we extend the NB‐FLIP
idea even further, by allowing a simulation to transition between a FLIP‐like
fluid simulation and a grid‐based simulation in arbitrary locations, not just
near the surface. This approach leads to even more savings in memory and computation,
because we can concentrate the particles only in areas where they are needed.
More importantly, this new method allows us to seamlessly transition to smooth
implicit surface geometry wherever the particle‐based simulation is unnecessary.
Consequently, our method leads to a practical algorithm for avoiding the noisy
surface artifacts associated with particle‐based liquid simulations, while simultaneously
maintaining the benefits of a FLIP simulation in regions of dynamic motion.
alternative_title:
- Eurographics
article_processing_charge: No
article_type: original
author:
- first_name: Takahiro
full_name: Sato, Takahiro
last_name: Sato
- 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: Nils
full_name: Thuerey, Nils
last_name: Thuerey
- first_name: Takeo
full_name: Igarashi, Takeo
last_name: Igarashi
- first_name: Ryoichi
full_name: Ando, Ryoichi
last_name: Ando
citation:
ama: Sato T, Wojtan C, Thuerey N, Igarashi T, Ando R. Extended narrow band FLIP
for liquid simulations. Computer Graphics Forum. 2018;37(2):169-177. doi:10.1111/cgf.13351
apa: Sato, T., Wojtan, C., Thuerey, N., Igarashi, T., & Ando, R. (2018). Extended
narrow band FLIP for liquid simulations. Computer Graphics Forum. Wiley.
https://doi.org/10.1111/cgf.13351
chicago: Sato, Takahiro, Chris Wojtan, Nils Thuerey, Takeo Igarashi, and Ryoichi
Ando. “Extended Narrow Band FLIP for Liquid Simulations.” Computer Graphics
Forum. Wiley, 2018. https://doi.org/10.1111/cgf.13351.
ieee: T. Sato, C. Wojtan, N. Thuerey, T. Igarashi, and R. Ando, “Extended narrow
band FLIP for liquid simulations,” Computer Graphics Forum, vol. 37, no.
2. Wiley, pp. 169–177, 2018.
ista: Sato T, Wojtan C, Thuerey N, Igarashi T, Ando R. 2018. Extended narrow band
FLIP for liquid simulations. Computer Graphics Forum. 37(2), 169–177.
mla: Sato, Takahiro, et al. “Extended Narrow Band FLIP for Liquid Simulations.”
Computer Graphics Forum, vol. 37, no. 2, Wiley, 2018, pp. 169–77, doi:10.1111/cgf.13351.
short: T. Sato, C. Wojtan, N. Thuerey, T. Igarashi, R. Ando, Computer Graphics Forum
37 (2018) 169–177.
date_created: 2018-12-11T11:44:49Z
date_published: 2018-05-22T00:00:00Z
date_updated: 2023-09-11T14:00:26Z
day: '22'
ddc:
- '006'
department:
- _id: ChWo
doi: 10.1111/cgf.13351
ec_funded: 1
external_id:
isi:
- '000434085600016'
file:
- access_level: open_access
checksum: 8edb90da8a72395eb5d970580e0925b6
content_type: application/pdf
creator: wojtan
date_created: 2020-10-08T08:38:23Z
date_updated: 2020-10-08T08:38:23Z
file_id: '8627'
file_name: exnbflip.pdf
file_size: 54309947
relation: main_file
success: 1
file_date_updated: 2020-10-08T08:38:23Z
has_accepted_license: '1'
intvolume: ' 37'
isi: 1
issue: '2'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Submitted Version
page: 169 - 177
project:
- _id: 2533E772-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '638176'
name: Efficient Simulation of Natural Phenomena at Extremely Large Scales
publication: Computer Graphics Forum
publication_identifier:
issn:
- 0167-7055
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Extended narrow band FLIP for liquid simulations
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 37
year: '2018'
...
---
_id: '3123'
abstract:
- lang: eng
text: We introduce the idea of using an explicit triangle mesh to track the air/fluid
interface in a smoothed particle hydrodynamics (SPH) simulator. Once an initial
surface mesh is created, this mesh is carried forward in time using nearby particle
velocities to advect the mesh vertices. The mesh connectivity remains mostly unchanged
across time-steps; it is only modified locally for topology change events or for
the improvement of triangle quality. In order to ensure that the surface mesh
does not diverge from the underlying particle simulation, we periodically project
the mesh surface onto an implicit surface defined by the physics simulation. The
mesh surface gives us several advantages over previous SPH surface tracking techniques.
We demonstrate a new method for surface tension calculations that clearly outperforms
the state of the art in SPH surface tension for computer graphics. We also demonstrate
a method for tracking detailed surface information (like colors) that is less
susceptible to numerical diffusion than competing techniques. Finally, our temporally-coherent
surface mesh allows us to simulate high-resolution surface wave dynamics without
being limited by the particle resolution of the SPH simulation.
acknowledgement: This work was funded by NSF grant IIS-1017014 and CCF- 0917093.
alternative_title:
- Eurographics
article_processing_charge: No
author:
- first_name: Jihun
full_name: Yu, Jihun
last_name: Yu
- 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: Greg
full_name: Turk, Greg
last_name: Turk
- first_name: Chee
full_name: Yap, Chee
last_name: Yap
citation:
ama: 'Yu J, Wojtan C, Turk G, Yap C. Explicit mesh surfaces for particle based fluids.
In: Computer Graphics Forum. Vol 31. Wiley; 2012:815-824. doi:10.1111/j.1467-8659.2012.03062.x'
apa: 'Yu, J., Wojtan, C., Turk, G., & Yap, C. (2012). Explicit mesh surfaces
for particle based fluids. In Computer Graphics Forum (Vol. 31, pp. 815–824).
Cagliari, Sardinia, Italy: Wiley. https://doi.org/10.1111/j.1467-8659.2012.03062.x'
chicago: Yu, Jihun, Chris Wojtan, Greg Turk, and Chee Yap. “Explicit Mesh Surfaces
for Particle Based Fluids.” In Computer Graphics Forum, 31:815–24. Wiley,
2012. https://doi.org/10.1111/j.1467-8659.2012.03062.x.
ieee: J. Yu, C. Wojtan, G. Turk, and C. Yap, “Explicit mesh surfaces for particle
based fluids,” in Computer Graphics Forum, Cagliari, Sardinia, Italy, 2012,
vol. 31, no. 2, pp. 815–824.
ista: 'Yu J, Wojtan C, Turk G, Yap C. 2012. Explicit mesh surfaces for particle
based fluids. Computer Graphics Forum. EUROGRAPHICS: Conference on European Association
for Computer Graphics, Eurographics, vol. 31, 815–824.'
mla: Yu, Jihun, et al. “Explicit Mesh Surfaces for Particle Based Fluids.” Computer
Graphics Forum, vol. 31, no. 2, Wiley, 2012, pp. 815–24, doi:10.1111/j.1467-8659.2012.03062.x.
short: J. Yu, C. Wojtan, G. Turk, C. Yap, in:, Computer Graphics Forum, Wiley, 2012,
pp. 815–824.
conference:
end_date: 2012-05-18
location: Cagliari, Sardinia, Italy
name: 'EUROGRAPHICS: Conference on European Association for Computer Graphics'
start_date: 2012-05-13
date_created: 2018-12-11T12:01:31Z
date_published: 2012-05-01T00:00:00Z
date_updated: 2023-10-16T09:54:40Z
day: '01'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1111/j.1467-8659.2012.03062.x
file:
- access_level: open_access
checksum: acb325dd1e31859bedd30e013f61d0b9
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:14:39Z
date_updated: 2020-07-14T12:46:00Z
file_id: '5092'
file_name: IST-2016-601-v1+1_meshSPH.pdf
file_size: 5740527
relation: main_file
file_date_updated: 2020-07-14T12:46:00Z
has_accepted_license: '1'
intvolume: ' 31'
issue: '2'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Submitted Version
page: 815 - 824
publication: Computer Graphics Forum
publication_identifier:
eissn:
- 1467-8659
issn:
- 0167-7055
publication_status: published
publisher: Wiley
publist_id: '3576'
pubrep_id: '601'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Explicit mesh surfaces for particle based fluids
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 31
year: '2012'
...