---
_id: '14488'
abstract:
- lang: eng
text: 'Portrait viewpoint and illumination editing is an important problem with
several applications in VR/AR, movies, and photography. Comprehensive knowledge
of geometry and illumination is critical for obtaining photorealistic results.
Current methods are unable to explicitly model in 3D while handling both viewpoint
and illumination editing from a single image. In this paper, we propose VoRF,
a novel approach that can take even a single portrait image as input and relight
human heads under novel illuminations that can be viewed from arbitrary viewpoints.
VoRF represents a human head as a continuous volumetric field and learns a prior
model of human heads using a coordinate-based MLP with individual latent spaces
for identity and illumination. The prior model is learned in an auto-decoder manner
over a diverse class of head shapes and appearances, allowing VoRF to generalize
to novel test identities from a single input image. Additionally, VoRF has a reflectance
MLP that uses the intermediate features of the prior model for rendering One-Light-at-A-Time
(OLAT) images under novel views. We synthesize novel illuminations by combining
these OLAT images with target environment maps. Qualitative and quantitative evaluations
demonstrate the effectiveness of VoRF for relighting and novel view synthesis,
even when applied to unseen subjects under uncontrolled illumination. This work
is an extension of Rao et al. (VoRF: Volumetric Relightable Faces 2022). We provide
extensive evaluation and ablative studies of our model and also provide an application,
where any face can be relighted using textual input.'
acknowledgement: Open Access funding enabled and organized by Projekt DEAL.
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Pramod
full_name: Rao, Pramod
last_name: Rao
- first_name: B. R.
full_name: Mallikarjun, B. R.
last_name: Mallikarjun
- first_name: Gereon
full_name: Fox, Gereon
last_name: Fox
- 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: Hanspeter
full_name: Pfister, Hanspeter
last_name: Pfister
- first_name: Wojciech
full_name: Matusik, Wojciech
last_name: Matusik
- first_name: Fangneng
full_name: Zhan, Fangneng
last_name: Zhan
- first_name: Ayush
full_name: Tewari, Ayush
last_name: Tewari
- first_name: Christian
full_name: Theobalt, Christian
last_name: Theobalt
- first_name: Mohamed
full_name: Elgharib, Mohamed
last_name: Elgharib
citation:
ama: Rao P, Mallikarjun BR, Fox G, et al. A deeper analysis of volumetric relightiable
faces. International Journal of Computer Vision. 2023. doi:10.1007/s11263-023-01899-3
apa: Rao, P., Mallikarjun, B. R., Fox, G., Weyrich, T., Bickel, B., Pfister, H.,
… Elgharib, M. (2023). A deeper analysis of volumetric relightiable faces. International
Journal of Computer Vision. Springer Nature. https://doi.org/10.1007/s11263-023-01899-3
chicago: Rao, Pramod, B. R. Mallikarjun, Gereon Fox, Tim Weyrich, Bernd Bickel,
Hanspeter Pfister, Wojciech Matusik, et al. “A Deeper Analysis of Volumetric Relightiable
Faces.” International Journal of Computer Vision. Springer Nature, 2023.
https://doi.org/10.1007/s11263-023-01899-3.
ieee: P. Rao et al., “A deeper analysis of volumetric relightiable faces,”
International Journal of Computer Vision. Springer Nature, 2023.
ista: Rao P, Mallikarjun BR, Fox G, Weyrich T, Bickel B, Pfister H, Matusik W, Zhan
F, Tewari A, Theobalt C, Elgharib M. 2023. A deeper analysis of volumetric relightiable
faces. International Journal of Computer Vision.
mla: Rao, Pramod, et al. “A Deeper Analysis of Volumetric Relightiable Faces.” International
Journal of Computer Vision, Springer Nature, 2023, doi:10.1007/s11263-023-01899-3.
short: P. Rao, B.R. Mallikarjun, G. Fox, T. Weyrich, B. Bickel, H. Pfister, W. Matusik,
F. Zhan, A. Tewari, C. Theobalt, M. Elgharib, International Journal of Computer
Vision (2023).
date_created: 2023-11-05T23:00:54Z
date_published: 2023-10-31T00:00:00Z
date_updated: 2023-11-06T08:52:30Z
day: '31'
department:
- _id: BeBi
doi: 10.1007/s11263-023-01899-3
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1007/s11263-023-01899-3
month: '10'
oa: 1
oa_version: Published Version
publication: International Journal of Computer Vision
publication_identifier:
eissn:
- 1573-1405
issn:
- 0920-5691
publication_status: epub_ahead
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: A deeper analysis of volumetric relightiable faces
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14628'
abstract:
- lang: eng
text: We introduce a compact, intuitive procedural graph representation for cellular
metamaterials, which are small-scale, tileable structures that can be architected
to exhibit many useful material properties. Because the structures’ “architectures”
vary widely—with elements such as beams, thin shells, and solid bulks—it is difficult
to explore them using existing representations. Generic approaches like voxel
grids are versatile, but it is cumbersome to represent and edit individual structures;
architecture-specific approaches address these issues, but are incompatible with
one another. By contrast, our procedural graph succinctly represents the construction
process for any structure using a simple skeleton annotated with spatially varying
thickness. To express the highly constrained triply periodic minimal surfaces
(TPMS) in this manner, we present the first fully automated version of the conjugate
surface construction method, which allows novices to create complex TPMS from
intuitive input. We demonstrate our representation’s expressiveness, accuracy,
and compactness by constructing a wide range of established structures and hundreds
of novel structures with diverse architectures and material properties. We also
conduct a user study to verify our representation’s ease-of-use and ability to
expand engineers’ capacity for exploration.
acknowledgement: "The authors thank Mina Konaković Luković and Michael Foshey for
their early contributions to this project, David Palmer and Paul Zhang for their
insightful discussions about minimal surfaces and the CSCM, Julian Panetta for providing
the Elastic Textures code, and Hannes Hergeth for his feedback and support. We also
thank our user study participants and anonymous reviewers.\r\nThis material is based
upon work supported by the National Science Foundation\r\n(NSF) Graduate Research
Fellowship under Grant No. 2141064; the MIT Morningside\r\nAcademy for Design Fellowship;
the Defense Advanced Research Projects Agency\r\n(DARPA) Grant No. FA8750-20-C-0075;
the ERC Consolidator Grant No. 101045083,\r\n“CoDiNA: Computational Discovery of
Numerical Algorithms for Animation and Simulation of Natural Phenomena”; and the
NewSat project, which is co-funded by the Operational Program for Competitiveness
and Internationalisation (COMPETE2020), Portugal 2020, the European Regional Development
Fund (ERDF), and the Portuguese Foundation for Science and Technology (FTC) under
the MIT Portugal program."
article_number: '168'
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Liane
full_name: Makatura, Liane
last_name: Makatura
- first_name: Bohan
full_name: Wang, Bohan
last_name: Wang
- first_name: Yi-Lu
full_name: Chen, Yi-Lu
id: 0b467602-dbcd-11ea-9d1d-ed480aa46b70
last_name: Chen
- first_name: Bolei
full_name: Deng, Bolei
last_name: Deng
- 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: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Wojciech
full_name: Matusik, Wojciech
last_name: Matusik
citation:
ama: 'Makatura L, Wang B, Chen Y-L, et al. Procedural metamaterials: A unified procedural
graph for metamaterial design. ACM Transactions on Graphics. 2023;42(5).
doi:10.1145/3605389'
apa: 'Makatura, L., Wang, B., Chen, Y.-L., Deng, B., Wojtan, C., Bickel, B., &
Matusik, W. (2023). Procedural metamaterials: A unified procedural graph for metamaterial
design. ACM Transactions on Graphics. Association for Computing Machinery.
https://doi.org/10.1145/3605389'
chicago: 'Makatura, Liane, Bohan Wang, Yi-Lu Chen, Bolei Deng, Chris Wojtan, Bernd
Bickel, and Wojciech Matusik. “Procedural Metamaterials: A Unified Procedural
Graph for Metamaterial Design.” ACM Transactions on Graphics. Association
for Computing Machinery, 2023. https://doi.org/10.1145/3605389.'
ieee: 'L. Makatura et al., “Procedural metamaterials: A unified procedural
graph for metamaterial design,” ACM Transactions on Graphics, vol. 42,
no. 5. Association for Computing Machinery, 2023.'
ista: 'Makatura L, Wang B, Chen Y-L, Deng B, Wojtan C, Bickel B, Matusik W. 2023.
Procedural metamaterials: A unified procedural graph for metamaterial design.
ACM Transactions on Graphics. 42(5), 168.'
mla: 'Makatura, Liane, et al. “Procedural Metamaterials: A Unified Procedural Graph
for Metamaterial Design.” ACM Transactions on Graphics, vol. 42, no. 5,
168, Association for Computing Machinery, 2023, doi:10.1145/3605389.'
short: L. Makatura, B. Wang, Y.-L. Chen, B. Deng, C. Wojtan, B. Bickel, W. Matusik,
ACM Transactions on Graphics 42 (2023).
date_created: 2023-11-29T15:02:03Z
date_published: 2023-10-01T00:00:00Z
date_updated: 2023-12-04T08:09:05Z
day: '01'
ddc:
- '531'
- '006'
department:
- _id: GradSch
- _id: ChWo
- _id: BeBi
doi: 10.1145/3605389
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date_created: 2023-11-29T15:16:01Z
date_updated: 2023-11-29T15:16:01Z
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file_size: 57067476
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has_accepted_license: '1'
intvolume: ' 42'
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keyword:
- Computer Graphics and Computer-Aided Design
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
project:
- _id: 34bc2376-11ca-11ed-8bc3-9a3b3961a088
grant_number: '101045083'
name: Computational Discovery of Numerical Algorithms for Animation and Simulation
of Natural Phenomena
publication: ACM Transactions on Graphics
publication_identifier:
issn:
- 0730-0301
- 1557-7368
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
status: public
title: 'Procedural metamaterials: A unified procedural graph for metamaterial design'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 42
year: '2023'
...
---
_id: '13188'
abstract:
- lang: eng
text: "The Kirchhoff rod model describes the bending and twisting of slender elastic
rods in three dimensions, and has been widely studied to enable the prediction
of how a rod will deform, given its geometry and boundary conditions. In this
work, we study a number of inverse problems with the goal of computing the geometry
of a straight rod that will automatically deform to match a curved target shape
after attaching its endpoints to a support structure. Our solution lets us finely
control the static equilibrium state of a rod by varying the cross-sectional profiles
along its length.\r\nWe also show that the set of physically realizable equilibrium
states admits a concise geometric description in terms of linear line complexes,
which leads to very efficient computational design algorithms. Implemented in
an interactive software tool, they allow us to convert three-dimensional hand-drawn
spline curves to elastic rods, and give feedback about the feasibility and practicality
of a design in real time. We demonstrate the efficacy of our method by designing
and manufacturing several physical prototypes with applications to interior design
and soft robotics."
acknowledged_ssus:
- _id: M-Shop
acknowledgement: We thank the anonymous reviewers for their generous feedback, and
Julian Fischer for his help in proving Proposition 1. This project has received
funding from the European Research Council (ERC) under the European Union’s Horizon
2020 research and innovation programme (grant agreement No. 715767).
article_number: '171'
article_processing_charge: No
article_type: original
author:
- first_name: Christian
full_name: Hafner, Christian
id: 400429CC-F248-11E8-B48F-1D18A9856A87
last_name: Hafner
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
citation:
ama: Hafner C, Bickel B. The design space of Kirchhoff rods. ACM Transactions
on Graphics. 2023;42(5). doi:10.1145/3606033
apa: Hafner, C., & Bickel, B. (2023). The design space of Kirchhoff rods. ACM
Transactions on Graphics. Association for Computing Machinery. https://doi.org/10.1145/3606033
chicago: Hafner, Christian, and Bernd Bickel. “The Design Space of Kirchhoff Rods.”
ACM Transactions on Graphics. Association for Computing Machinery, 2023.
https://doi.org/10.1145/3606033.
ieee: C. Hafner and B. Bickel, “The design space of Kirchhoff rods,” ACM Transactions
on Graphics, vol. 42, no. 5. Association for Computing Machinery, 2023.
ista: Hafner C, Bickel B. 2023. The design space of Kirchhoff rods. ACM Transactions
on Graphics. 42(5), 171.
mla: Hafner, Christian, and Bernd Bickel. “The Design Space of Kirchhoff Rods.”
ACM Transactions on Graphics, vol. 42, no. 5, 171, Association for Computing
Machinery, 2023, doi:10.1145/3606033.
short: C. Hafner, B. Bickel, ACM Transactions on Graphics 42 (2023).
date_created: 2023-07-04T07:41:30Z
date_published: 2023-09-20T00:00:00Z
date_updated: 2024-03-25T23:30:26Z
day: '20'
ddc:
- '516'
department:
- _id: BeBi
doi: 10.1145/3606033
ec_funded: 1
external_id:
isi:
- '001086833300010'
file:
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checksum: 4954c1cfa487725bc156dcfec872478a
content_type: application/pdf
creator: chafner
date_created: 2023-07-04T08:11:28Z
date_updated: 2023-07-04T08:11:28Z
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file_size: 19635168
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content_type: application/pdf
creator: chafner
date_created: 2023-07-04T07:46:28Z
date_updated: 2023-07-04T07:46:28Z
file_id: '13190'
file_name: supp-main.pdf
file_size: 420909
relation: supplementary_material
title: Supplemental Material with Proofs
- access_level: open_access
checksum: 4ab647e4f03c711e1e6a5fc1eb8684db
content_type: application/pdf
creator: chafner
date_created: 2023-07-04T07:46:30Z
date_updated: 2023-07-04T07:46:30Z
file_id: '13191'
file_name: supp-cheat.pdf
file_size: 430086
relation: supplementary_material
title: Cheat Sheet for Notation
- access_level: open_access
checksum: c0fd9a57d012046de90c185ffa904b76
content_type: video/mp4
creator: chafner
date_created: 2023-07-04T07:46:39Z
date_updated: 2023-07-04T07:46:39Z
file_id: '13192'
file_name: kirchhoff-video-final.mp4
file_size: 268088064
relation: supplementary_material
title: Supplemental Video
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checksum: 71b00712b489ada2cd9815910ee180a9
content_type: application/x-zip-compressed
creator: chafner
date_created: 2023-07-04T07:47:10Z
date_updated: 2023-07-04T07:47:10Z
file_id: '13193'
file_name: matlab-submission.zip
file_size: 25790
relation: supplementary_material
title: Matlab Source Code with Example
file_date_updated: 2023-07-04T08:11:28Z
has_accepted_license: '1'
intvolume: ' 42'
isi: 1
issue: '5'
keyword:
- Computer Graphics
- Computational Design
- Computational Geometry
- Shape Modeling
language:
- iso: eng
month: '09'
oa: 1
oa_version: Submitted Version
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- 1557-7368
issn:
- 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
related_material:
record:
- id: '12897'
relation: part_of_dissertation
status: public
status: public
title: The design space of Kirchhoff rods
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 42
year: '2023'
...
---
_id: '13267'
abstract:
- lang: eng
text: Three-dimensional (3D) reconstruction of living brain tissue down to an individual
synapse level would create opportunities for decoding the dynamics and structure–function
relationships of the brain’s complex and dense information processing network;
however, this has been hindered by insufficient 3D resolution, inadequate signal-to-noise
ratio and prohibitive light burden in optical imaging, whereas electron microscopy
is inherently static. Here we solved these challenges by developing an integrated
optical/machine-learning technology, LIONESS (live information-optimized nanoscopy
enabling saturated segmentation). This leverages optical modifications to stimulated
emission depletion microscopy in comprehensively, extracellularly labeled tissue
and previous information on sample structure via machine learning to simultaneously
achieve isotropic super-resolution, high signal-to-noise ratio and compatibility
with living tissue. This allows dense deep-learning-based instance segmentation
and 3D reconstruction at a synapse level, incorporating molecular, activity and
morphodynamic information. LIONESS opens up avenues for studying the dynamic functional
(nano-)architecture of living brain tissue.
acknowledged_ssus:
- _id: ScienComp
- _id: Bio
- _id: PreCl
- _id: E-Lib
- _id: LifeSc
- _id: M-Shop
acknowledgement: "We thank J. Vorlaufer, N. Agudelo and A. Wartak for microscope maintenance
and troubleshooting, C. Kreuzinger and A. Freeman for technical assistance, M. Šuplata
for hardware control support and M. Cunha dos Santos for initial exploration of
software. We\r\nthank P. Henderson for advice on deep-learning training and M. Sixt,
S. Boyd and T. Weiss for discussions and critical reading of the manuscript. L.
Lavis (Janelia Research Campus) generously provided the JF585-HaloTag ligand. We
acknowledge expert support by IST\r\nAustria’s scientific computing, imaging and
optics, preclinical, library and laboratory support facilities and by the Miba machine
shop. We gratefully acknowledge funding by the following sources: Austrian Science
Fund (F.W.F.) grant no. I3600-B27 (J.G.D.), grant no. DK W1232\r\n(J.G.D. and J.M.M.)
and grant no. Z 312-B27, Wittgenstein award (P.J.); the Gesellschaft für Forschungsförderung
NÖ grant no. LSC18-022 (J.G.D.); an ISTA Interdisciplinary project grant (J.G.D.
and B.B.); the European Union’s Horizon 2020 research and innovation programme,\r\nMarie-Skłodowska
Curie grant 665385 (J.M.M. and J.L.); the European Union’s Horizon 2020 research
and innovation programme, European Research Council grant no. 715767, MATERIALIZABLE
(B.B.); grant no. 715508, REVERSEAUTISM (G.N.); grant no. 695568, SYNNOVATE (S.G.N.G.);
and grant no. 692692, GIANTSYN (P.J.); the Simons\r\nFoundation Autism Research
Initiative grant no. 529085 (S.G.N.G.); the Wellcome Trust Technology Development
grant no. 202932 (S.G.N.G.); the Marie Skłodowska-Curie Actions Individual Fellowship
no. 101026635 under the EU Horizon 2020 program (J.F.W.);\r\nthe Human Frontier
Science Program postdoctoral fellowship LT000557/2018 (W.J.); and the National Science
Foundation grant no. IIS-1835231 (H.P.) and NCS-FO-2124179 (H.P.)."
article_processing_charge: Yes
article_type: original
author:
- first_name: Philipp
full_name: Velicky, Philipp
id: 39BDC62C-F248-11E8-B48F-1D18A9856A87
last_name: Velicky
orcid: 0000-0002-2340-7431
- first_name: Eder
full_name: Miguel Villalba, Eder
id: 3FB91342-F248-11E8-B48F-1D18A9856A87
last_name: Miguel Villalba
orcid: 0000-0001-5665-0430
- first_name: Julia M
full_name: Michalska, Julia M
id: 443DB6DE-F248-11E8-B48F-1D18A9856A87
last_name: Michalska
orcid: 0000-0003-3862-1235
- first_name: Julia
full_name: Lyudchik, Julia
id: 46E28B80-F248-11E8-B48F-1D18A9856A87
last_name: Lyudchik
- first_name: Donglai
full_name: Wei, Donglai
last_name: Wei
- first_name: Zudi
full_name: Lin, Zudi
last_name: Lin
- first_name: Jake
full_name: Watson, Jake
id: 63836096-4690-11EA-BD4E-32803DDC885E
last_name: Watson
orcid: 0000-0002-8698-3823
- first_name: Jakob
full_name: Troidl, Jakob
last_name: Troidl
- first_name: Johanna
full_name: Beyer, Johanna
last_name: Beyer
- first_name: Yoav
full_name: Ben Simon, Yoav
id: 43DF3136-F248-11E8-B48F-1D18A9856A87
last_name: Ben Simon
- first_name: Christoph M
full_name: Sommer, Christoph M
id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87
last_name: Sommer
orcid: 0000-0003-1216-9105
- first_name: Wiebke
full_name: Jahr, Wiebke
id: 425C1CE8-F248-11E8-B48F-1D18A9856A87
last_name: Jahr
- first_name: Alban
full_name: Cenameri, Alban
id: 9ac8f577-2357-11eb-997a-e566c5550886
last_name: Cenameri
- first_name: Johannes
full_name: Broichhagen, Johannes
last_name: Broichhagen
- first_name: Seth G.N.
full_name: Grant, Seth G.N.
last_name: Grant
- first_name: Peter M
full_name: Jonas, Peter M
id: 353C1B58-F248-11E8-B48F-1D18A9856A87
last_name: Jonas
orcid: 0000-0001-5001-4804
- first_name: Gaia
full_name: Novarino, Gaia
id: 3E57A680-F248-11E8-B48F-1D18A9856A87
last_name: Novarino
orcid: 0000-0002-7673-7178
- first_name: Hanspeter
full_name: Pfister, Hanspeter
last_name: Pfister
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Johann G
full_name: Danzl, Johann G
id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
last_name: Danzl
orcid: 0000-0001-8559-3973
citation:
ama: Velicky P, Miguel Villalba E, Michalska JM, et al. Dense 4D nanoscale reconstruction
of living brain tissue. Nature Methods. 2023;20:1256-1265. doi:10.1038/s41592-023-01936-6
apa: Velicky, P., Miguel Villalba, E., Michalska, J. M., Lyudchik, J., Wei, D.,
Lin, Z., … Danzl, J. G. (2023). Dense 4D nanoscale reconstruction of living brain
tissue. Nature Methods. Springer Nature. https://doi.org/10.1038/s41592-023-01936-6
chicago: Velicky, Philipp, Eder Miguel Villalba, Julia M Michalska, Julia Lyudchik,
Donglai Wei, Zudi Lin, Jake Watson, et al. “Dense 4D Nanoscale Reconstruction
of Living Brain Tissue.” Nature Methods. Springer Nature, 2023. https://doi.org/10.1038/s41592-023-01936-6.
ieee: P. Velicky et al., “Dense 4D nanoscale reconstruction of living brain
tissue,” Nature Methods, vol. 20. Springer Nature, pp. 1256–1265, 2023.
ista: Velicky P, Miguel Villalba E, Michalska JM, Lyudchik J, Wei D, Lin Z, Watson
J, Troidl J, Beyer J, Ben Simon Y, Sommer CM, Jahr W, Cenameri A, Broichhagen
J, Grant SGN, Jonas PM, Novarino G, Pfister H, Bickel B, Danzl JG. 2023. Dense
4D nanoscale reconstruction of living brain tissue. Nature Methods. 20, 1256–1265.
mla: Velicky, Philipp, et al. “Dense 4D Nanoscale Reconstruction of Living Brain
Tissue.” Nature Methods, vol. 20, Springer Nature, 2023, pp. 1256–65, doi:10.1038/s41592-023-01936-6.
short: P. Velicky, E. Miguel Villalba, J.M. Michalska, J. Lyudchik, D. Wei, Z. Lin,
J. Watson, J. Troidl, J. Beyer, Y. Ben Simon, C.M. Sommer, W. Jahr, A. Cenameri,
J. Broichhagen, S.G.N. Grant, P.M. Jonas, G. Novarino, H. Pfister, B. Bickel,
J.G. Danzl, Nature Methods 20 (2023) 1256–1265.
date_created: 2023-07-23T22:01:13Z
date_published: 2023-08-01T00:00:00Z
date_updated: 2024-01-10T08:37:48Z
day: '01'
department:
- _id: PeJo
- _id: GaNo
- _id: BeBi
- _id: JoDa
- _id: Bio
doi: 10.1038/s41592-023-01936-6
ec_funded: 1
external_id:
isi:
- '001025621500001'
pmid:
- '37429995'
intvolume: ' 20'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1038/s41592-023-01936-6
month: '08'
oa: 1
oa_version: Published Version
page: 1256-1265
pmid: 1
project:
- _id: 265CB4D0-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: I03600
name: Optical control of synaptic function via adhesion molecules
- _id: 2548AE96-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: W1232-B24
name: Molecular Drug Targets
- _id: 25C5A090-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z00312
name: The Wittgenstein Prize
- _id: 23889792-32DE-11EA-91FC-C7463DDC885E
name: High content imaging to decode human immune cell interactions in health and
allergic disease
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
- _id: 25444568-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715508'
name: Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo
and in vitro Models
- _id: 25B7EB9E-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '692692'
name: Biophysics and circuit function of a giant cortical glumatergic synapse
- _id: fc2be41b-9c52-11eb-aca3-faa90aa144e9
call_identifier: H2020
grant_number: '101026635'
name: Synaptic computations of the hippocampal CA3 circuitry
- _id: 2668BFA0-B435-11E9-9278-68D0E5697425
grant_number: LT00057
name: High-speed 3D-nanoscopy to study the role of adhesion during 3D cell migration
publication: Nature Methods
publication_identifier:
eissn:
- 1548-7105
issn:
- 1548-7091
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/danzllab/LIONESS
record:
- id: '12817'
relation: research_data
status: public
- id: '14770'
relation: shorter_version
status: public
scopus_import: '1'
status: public
title: Dense 4D nanoscale reconstruction of living brain tissue
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 20
year: '2023'
...
---
_id: '14241'
abstract:
- lang: eng
text: We present a technique to optimize the reflectivity of a surface while preserving
its overall shape. The naïve optimization of the mesh vertices using the gradients
of reflectivity simulations results in undesirable distortion. In contrast, our
robust formulation optimizes the surface normal as an independent variable that
bridges the reflectivity term with differential rendering, and the regularization
term with as-rigid-as-possible elastic energy. We further adaptively subdivide
the input mesh to improve the convergence. Consequently, our method can minimize
the retroreflectivity of a wide range of input shapes, resulting in sharply creased
shapes ubiquitous among stealth aircraft and Sci-Fi vehicles. Furthermore, by
changing the reward for the direction of the outgoing light directions, our method
can be applied to other reflectivity design tasks, such as the optimization of
architectural walls to concentrate light in a specific region. We have tested
the proposed method using light-transport simulations and real-world 3D-printed
objects.
acknowledgement: "The authors would like to thank Yuki Koyama and Takeo Igarashi for
early discussions, and Yuta Yaguchi for support in 3D printing. This research is
partially supported by the Israel Science Foundation grant number 1390/19.\r\n"
article_number: '20'
article_processing_charge: No
arxiv: 1
author:
- first_name: Kenji
full_name: Tojo, Kenji
last_name: Tojo
- first_name: Ariel
full_name: Shamir, Ariel
last_name: Shamir
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Nobuyuki
full_name: Umetani, Nobuyuki
last_name: Umetani
citation:
ama: 'Tojo K, Shamir A, Bickel B, Umetani N. Stealth shaper: Reflectivity optimization
as surface stylization. In: SIGGRAPH 2023 Conference Proceedings. Association
for Computing Machinery; 2023. doi:10.1145/3588432.3591542'
apa: 'Tojo, K., Shamir, A., Bickel, B., & Umetani, N. (2023). Stealth shaper:
Reflectivity optimization as surface stylization. In SIGGRAPH 2023 Conference
Proceedings. Los Angeles, CA, United States: Association for Computing Machinery.
https://doi.org/10.1145/3588432.3591542'
chicago: 'Tojo, Kenji, Ariel Shamir, Bernd Bickel, and Nobuyuki Umetani. “Stealth
Shaper: Reflectivity Optimization as Surface Stylization.” In SIGGRAPH 2023
Conference Proceedings. Association for Computing Machinery, 2023. https://doi.org/10.1145/3588432.3591542.'
ieee: 'K. Tojo, A. Shamir, B. Bickel, and N. Umetani, “Stealth shaper: Reflectivity
optimization as surface stylization,” in SIGGRAPH 2023 Conference Proceedings,
Los Angeles, CA, United States, 2023.'
ista: 'Tojo K, Shamir A, Bickel B, Umetani N. 2023. Stealth shaper: Reflectivity
optimization as surface stylization. SIGGRAPH 2023 Conference Proceedings. SIGGRAPH:
Computer Graphics and Interactive Techniques Conference, 20.'
mla: 'Tojo, Kenji, et al. “Stealth Shaper: Reflectivity Optimization as Surface
Stylization.” SIGGRAPH 2023 Conference Proceedings, 20, Association for
Computing Machinery, 2023, doi:10.1145/3588432.3591542.'
short: K. Tojo, A. Shamir, B. Bickel, N. Umetani, in:, SIGGRAPH 2023 Conference
Proceedings, Association for Computing Machinery, 2023.
conference:
end_date: 2023-08-10
location: Los Angeles, CA, United States
name: 'SIGGRAPH: Computer Graphics and Interactive Techniques Conference'
start_date: 2023-08-06
date_created: 2023-08-27T22:01:17Z
date_published: 2023-07-23T00:00:00Z
date_updated: 2023-09-05T07:22:03Z
day: '23'
department:
- _id: BeBi
doi: 10.1145/3588432.3591542
external_id:
arxiv:
- '2305.05944'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2305.05944
month: '07'
oa: 1
oa_version: Preprint
publication: SIGGRAPH 2023 Conference Proceedings
publication_identifier:
isbn:
- '9798400701597'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Stealth shaper: Reflectivity optimization as surface stylization'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '12972'
abstract:
- lang: eng
text: Embroidery is a long-standing and high-quality approach to making logos and
images on textiles. Nowadays, it can also be performed via automated machines
that weave threads with high spatial accuracy. A characteristic feature of the
appearance of the threads is a high degree of anisotropy. The anisotropic behavior
is caused by depositing thin but long strings of thread. As a result, the stitched
patterns convey both color and direction. Artists leverage this anisotropic behavior
to enhance pure color images with textures, illusions of motion, or depth cues.
However, designing colorful embroidery patterns with prescribed directionality
is a challenging task, one usually requiring an expert designer. In this work,
we propose an interactive algorithm that generates machine-fabricable embroidery
patterns from multi-chromatic images equipped with user-specified directionality
fields.We cast the problem of finding a stitching pattern into vector theory.
To find a suitable stitching pattern, we extract sources and sinks from the divergence
field of the vector field extracted from the input and use them to trace streamlines.
We further optimize the streamlines to guarantee a smooth and connected stitching
pattern. The generated patterns approximate the color distribution constrained
by the directionality field. To allow for further artistic control, the trade-off
between color match and directionality match can be interactively explored via
an intuitive slider. We showcase our approach by fabricating several embroidery
paths.
acknowledgement: This work was supported by the European Research Council (ERC) under
the European Union’s Horizon 2020 research and innovation program (grant agreement
No 715767 – MATERIALIZABLE), and FWF Lise Meitner (Grant M 3319). We thank the anonymous
reviewers for their insightful feedback; Solal Pirelli, Shardul Chiplunkar, and
Paola Mejia for proofreading; everyone in the visual computing group at ISTA for
inspiring lunch and coffee breaks; Thibault Tricard for help producing the results
of Phasor Noise.
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: Michael
full_name: Piovarci, Michael
id: 62E473F4-5C99-11EA-A40E-AF823DDC885E
last_name: Piovarci
- first_name: Christian
full_name: Hafner, Christian
id: 400429CC-F248-11E8-B48F-1D18A9856A87
last_name: Hafner
- first_name: Raphael
full_name: Charrondiere, Raphael
id: a3a24133-2cc7-11ec-be88-8ddaf6f464b1
last_name: Charrondiere
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
citation:
ama: Liu Z, Piovarci M, Hafner C, Charrondiere R, Bickel B. Directionality-aware
design of embroidery patterns. Computer Graphics Forum. 2023;42(2):397-409.
doi:10.1111/cgf.14770
apa: 'Liu, Z., Piovarci, M., Hafner, C., Charrondiere, R., & Bickel, B. (2023).
Directionality-aware design of embroidery patterns. Computer Graphics Forum.
Saarbrucken, Germany: Wiley. https://doi.org/10.1111/cgf.14770
'
chicago: Liu, Zhenyuan, Michael Piovarci, Christian Hafner, Raphael Charrondiere,
and Bernd Bickel. “Directionality-Aware Design of Embroidery Patterns.” Computer
Graphics Forum. Wiley, 2023. https://doi.org/10.1111/cgf.14770
.
ieee: Z. Liu, M. Piovarci, C. Hafner, R. Charrondiere, and B. Bickel, “Directionality-aware
design of embroidery patterns,” Computer Graphics Forum, vol. 42, no. 2.
Wiley, pp. 397–409, 2023.
ista: Liu Z, Piovarci M, Hafner C, Charrondiere R, Bickel B. 2023. Directionality-aware
design of embroidery patterns. Computer Graphics Forum. 42(2), 397–409.
mla: Liu, Zhenyuan, et al. “Directionality-Aware Design of Embroidery Patterns.”
Computer Graphics Forum, vol. 42, no. 2, Wiley, 2023, pp. 397–409, doi:10.1111/cgf.14770 .
short: Z. Liu, M. Piovarci, C. Hafner, R. Charrondiere, B. Bickel, Computer Graphics
Forum 42 (2023) 397–409.
conference:
end_date: 2023-05-12
location: Saarbrucken, Germany
name: 'EG: Eurographics'
start_date: 2023-05-08
date_created: 2023-05-16T08:47:25Z
date_published: 2023-05-08T00:00:00Z
date_updated: 2023-08-01T14:47:05Z
day: '08'
ddc:
- '004'
department:
- _id: BeBi
doi: '10.1111/cgf.14770 '
ec_funded: 1
external_id:
isi:
- '001000062600033'
file:
- access_level: open_access
checksum: 4c188c2be4745467a8790bbf5d6491aa
content_type: application/pdf
creator: mpiovarc
date_created: 2023-05-16T08:28:37Z
date_updated: 2023-05-16T08:28:37Z
file_id: '12974'
file_name: Zhenyuan2023.pdf
file_size: 24003702
relation: main_file
success: 1
file_date_updated: 2023-05-16T08:28:37Z
has_accepted_license: '1'
intvolume: ' 42'
isi: 1
issue: '2'
keyword:
- embroidery
- design
- directionality
- density
- image
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: 397-409
project:
- _id: eb901961-77a9-11ec-83b8-f5c883a62027
grant_number: M03319
name: Perception-Aware Appearance Fabrication
- _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:
- 1467-8659
publication_status: published
publisher: Wiley
quality_controlled: '1'
status: public
title: Directionality-aware design of embroidery patterns
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 42
year: '2023'
...
---
_id: '12979'
abstract:
- lang: eng
text: 'Color and gloss are fundamental aspects of surface appearance. State-of-the-art
fabrication techniques can manipulate both properties of the printed 3D objects.
However, in the context of appearance reproduction, perceptual aspects of color
and gloss are usually handled separately, even though previous perceptual studies
suggest their interaction. Our work is motivated by previous studies demonstrating
a perceived color shift due to a change in the object''s gloss, i.e., two samples
with the same color but different surface gloss appear as they have different
colors. In this paper, we conduct new experiments which support this observation
and provide insights into the magnitude and direction of the perceived color change.
We use the observations as guidance to design a new method that estimates and
corrects the color shift enabling the fabrication of objects with the same perceived
color but different surface gloss. We formulate the problem as an optimization
procedure solved using differentiable rendering. We evaluate the effectiveness
of our method in perceptual experiments with 3D objects fabricated using a multi-material
3D printer and demonstrate potential applications. '
acknowledgement: We thank Matthew S Zurawski for the 3D model of the car speed shape.
This research has been supported by the Swiss National Science Foundation (SNSF,
Grant 200502) and the FWF Lise Meitner (Grant M 3319).
article_number: '21'
article_processing_charge: No
author:
- first_name: Jorge
full_name: Condor, Jorge
last_name: Condor
- first_name: Michael
full_name: Piovarci, Michael
id: 62E473F4-5C99-11EA-A40E-AF823DDC885E
last_name: Piovarci
orcid: 0000-0002-5062-4474
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Piotr
full_name: Didyk, Piotr
last_name: Didyk
citation:
ama: 'Condor J, Piovarci M, Bickel B, Didyk P. Gloss-aware color correction for
3D printing. In: SIGGRAPH ’23 Conference Proceedings. Association for Computing
Machinery; 2023. doi:10.1145/3588432.3591546'
apa: 'Condor, J., Piovarci, M., Bickel, B., & Didyk, P. (2023). Gloss-aware
color correction for 3D printing. In SIGGRAPH ’23 Conference Proceedings.
Los Angeles, CA, United States: Association for Computing Machinery. https://doi.org/10.1145/3588432.3591546'
chicago: Condor, Jorge, Michael Piovarci, Bernd Bickel, and Piotr Didyk. “Gloss-Aware
Color Correction for 3D Printing.” In SIGGRAPH ’23 Conference Proceedings.
Association for Computing Machinery, 2023. https://doi.org/10.1145/3588432.3591546.
ieee: J. Condor, M. Piovarci, B. Bickel, and P. Didyk, “Gloss-aware color correction
for 3D printing,” in SIGGRAPH ’23 Conference Proceedings, Los Angeles,
CA, United States, 2023.
ista: 'Condor J, Piovarci M, Bickel B, Didyk P. 2023. Gloss-aware color correction
for 3D printing. SIGGRAPH ’23 Conference Proceedings. SIGGRAPH: Computer Graphics
and Interactive Techniques Conference, 21.'
mla: Condor, Jorge, et al. “Gloss-Aware Color Correction for 3D Printing.” SIGGRAPH
’23 Conference Proceedings, 21, Association for Computing Machinery, 2023,
doi:10.1145/3588432.3591546.
short: J. Condor, M. Piovarci, B. Bickel, P. Didyk, in:, SIGGRAPH ’23 Conference
Proceedings, Association for Computing Machinery, 2023.
conference:
end_date: 2023-08-10
location: Los Angeles, CA, United States
name: 'SIGGRAPH: Computer Graphics and Interactive Techniques Conference'
start_date: 2023-08-06
date_created: 2023-05-16T09:34:13Z
date_published: 2023-07-23T00:00:00Z
date_updated: 2024-02-28T12:52:04Z
day: '23'
ddc:
- '004'
department:
- _id: BeBi
doi: 10.1145/3588432.3591546
external_id:
isi:
- '001117690500021'
file:
- access_level: open_access
checksum: 84a437739af5d46507928939b20c0c28
content_type: application/pdf
creator: mpiovarc
date_created: 2023-05-16T09:32:50Z
date_updated: 2023-05-16T09:32:50Z
file_id: '12983'
file_name: Condor2023_supplemental.pdf
file_size: 42323971
relation: main_file
success: 1
- access_level: open_access
checksum: 0f5c8b242e8e7c153c04888c4d0c6f37
content_type: application/pdf
creator: dernst
date_created: 2024-01-29T10:14:10Z
date_updated: 2024-01-29T10:14:10Z
file_id: '14893'
file_name: 2023_Siggraph_Condor.pdf
file_size: 26079404
relation: main_file
success: 1
file_date_updated: 2024-01-29T10:14:10Z
has_accepted_license: '1'
isi: 1
keyword:
- color
- gloss
- perception
- color compensation
- color management
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: eb901961-77a9-11ec-83b8-f5c883a62027
grant_number: M03319
name: Perception-Aware Appearance Fabrication
publication: SIGGRAPH ’23 Conference Proceedings
publication_identifier:
isbn:
- '9798400701597'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
status: public
title: Gloss-aware color correction for 3D printing
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: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '12984'
abstract:
- lang: eng
text: Tattoos are a highly popular medium, with both artistic and medical applications.
Although the mechanical process of tattoo application has evolved historically,
the results are reliant on the artisanal skill of the artist. This can be especially
challenging for some skin tones, or in cases where artists lack experience. We
provide the first systematic overview of tattooing as a computational fabrication
technique. We built an automated tattooing rig and a recipe for the creation of
silicone sheets mimicking realistic skin tones, which allowed us to create an
accurate model predicting tattoo appearance. This enables several exciting applications
including tattoo previewing, color retargeting, novel ink spectra optimization,
color-accurate prosthetics, and more.
acknowledged_ssus:
- _id: M-Shop
acknowledgement: We thank Todor Asenov and the Miba Machine Shop for their help in
assembling the tattoo machine and manufacturing the substrates. We thank Geysler
Rodrigues for the insightful discussions on tattooing practices from a professional
artist's perspective. We thank Maria Fernanda Portugal for sharing a doctor's perspective
on medical applications of tattoos. This work is graciously supported by the FWF
Lise Meitner (Grant M 3319).
article_number: '67'
article_processing_charge: No
article_type: original
author:
- first_name: Michael
full_name: Piovarci, Michael
id: 62E473F4-5C99-11EA-A40E-AF823DDC885E
last_name: Piovarci
orcid: 0000-0002-5062-4474
- first_name: Alexandre
full_name: Chapiro, Alexandre
last_name: Chapiro
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
citation:
ama: 'Piovarci M, Chapiro A, Bickel B. Skin-Screen: A computational fabrication
framework for color tattoos. Transactions on Graphics. 2023;42(4). doi:10.1145/3592432'
apa: 'Piovarci, M., Chapiro, A., & Bickel, B. (2023). Skin-Screen: A computational
fabrication framework for color tattoos. Transactions on Graphics. Los
Angeles, CA, United States: Association for Computing Machinery. https://doi.org/10.1145/3592432'
chicago: 'Piovarci, Michael, Alexandre Chapiro, and Bernd Bickel. “Skin-Screen:
A Computational Fabrication Framework for Color Tattoos.” Transactions on Graphics.
Association for Computing Machinery, 2023. https://doi.org/10.1145/3592432.'
ieee: 'M. Piovarci, A. Chapiro, and B. Bickel, “Skin-Screen: A computational fabrication
framework for color tattoos,” Transactions on Graphics, vol. 42, no. 4.
Association for Computing Machinery, 2023.'
ista: 'Piovarci M, Chapiro A, Bickel B. 2023. Skin-Screen: A computational fabrication
framework for color tattoos. Transactions on Graphics. 42(4), 67.'
mla: 'Piovarci, Michael, et al. “Skin-Screen: A Computational Fabrication Framework
for Color Tattoos.” Transactions on Graphics, vol. 42, no. 4, 67, Association
for Computing Machinery, 2023, doi:10.1145/3592432.'
short: M. Piovarci, A. Chapiro, B. Bickel, Transactions on Graphics 42 (2023).
conference:
end_date: 2023-08-10
location: Los Angeles, CA, United States
name: 'SIGGRAPH: Computer Graphics and Interactive Techniques Conference'
start_date: 2023-08-06
date_created: 2023-05-16T09:39:14Z
date_published: 2023-07-26T00:00:00Z
date_updated: 2024-01-29T10:27:23Z
day: '26'
ddc:
- '004'
department:
- _id: BeBi
doi: 10.1145/3592432
external_id:
isi:
- '001044671300033'
file:
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checksum: 5f0a6867689e025a661bd0b4fd90b821
content_type: application/pdf
creator: mpiovarc
date_created: 2023-05-16T09:38:25Z
date_updated: 2023-05-16T09:38:25Z
file_id: '12985'
file_name: Piovarci2023.pdf
file_size: 30817343
relation: main_file
success: 1
file_date_updated: 2023-05-16T09:38:25Z
has_accepted_license: '1'
intvolume: ' 42'
isi: 1
issue: '4'
keyword:
- appearance
- modeling
- reproduction
- tattoo
- skin color
- gamut mapping
- ink-optimization
- prosthetic
language:
- iso: eng
month: '07'
oa: 1
oa_version: Submitted Version
project:
- _id: eb901961-77a9-11ec-83b8-f5c883a62027
grant_number: M03319
name: Perception-Aware Appearance Fabrication
publication: Transactions on Graphics
publication_identifier:
eissn:
- 1557-7368
issn:
- 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
status: public
title: 'Skin-Screen: A computational fabrication framework for color tattoos'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 42
year: '2023'
...
---
_id: '13049'
abstract:
- lang: eng
text: "We propose a computational design approach for covering a surface with individually
addressable RGB LEDs, effectively forming a low-resolution surface screen. To
achieve a low-cost and scalable approach, we propose creating designs from flat
PCB panels bent in-place along the surface of a 3D printed core. Working with
standard rigid PCBs enables the use of\r\nestablished PCB manufacturing services,
allowing the fabrication of designs with several hundred LEDs. \r\nOur approach
optimizes the PCB geometry for folding, and then jointly optimizes the LED packing,
circuit and routing, solving a challenging layout problem under strict manufacturing
requirements. Unlike paper, PCBs cannot bend beyond a certain point without breaking.
Therefore, we introduce parametric cut patterns acting as hinges, designed to
allow bending while remaining compact. To tackle the joint optimization of placement,
circuit and routing, we propose a specialized algorithm that splits the global
problem into one sub-problem per triangle, which is then individually solved.\r\nOur
technique generates PCB blueprints in a completely automated way. After being
fabricated by a PCB manufacturing service, the boards are bent and glued by the
user onto the 3D printed support. We demonstrate our technique on a range of physical
models and virtual examples, creating intricate surface light patterns from hundreds
of LEDs."
acknowledged_ssus:
- _id: M-Shop
acknowledgement: We thank the reviewers for the valuable feedback. We also thank the
Miba Machine Shop at ISTA, PCBWay, and PragoBoard for helping us with fabrication
and assembly. This project was supported by the European Research Council (ERC)
under the European Union’s Horizon 2020 research and innovation program (Grant Agreement
No. 715767 – MATERIALIZABLE).
article_number: '142'
article_processing_charge: No
article_type: original
author:
- first_name: Marco
full_name: Freire, Marco
last_name: Freire
- first_name: Manas
full_name: Bhargava, Manas
id: FF8FA64C-AA6A-11E9-99AD-50D4E5697425
last_name: Bhargava
orcid: 0009-0007-6138-6890
- first_name: Camille
full_name: Schreck, Camille
id: 2B14B676-F248-11E8-B48F-1D18A9856A87
last_name: Schreck
- first_name: Pierre-Alexandre
full_name: Hugron, Pierre-Alexandre
last_name: Hugron
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Sylvain
full_name: Lefebvre, Sylvain
last_name: Lefebvre
citation:
ama: 'Freire M, Bhargava M, Schreck C, Hugron P-A, Bickel B, Lefebvre S. PCBend:
Light up your 3D shapes with foldable circuit boards. Transactions on Graphics.
2023;42(4). doi:10.1145/3592411'
apa: 'Freire, M., Bhargava, M., Schreck, C., Hugron, P.-A., Bickel, B., & Lefebvre,
S. (2023). PCBend: Light up your 3D shapes with foldable circuit boards. Transactions
on Graphics. Los Angeles, CA, United States: Association for Computing Machinery.
https://doi.org/10.1145/3592411'
chicago: 'Freire, Marco, Manas Bhargava, Camille Schreck, Pierre-Alexandre Hugron,
Bernd Bickel, and Sylvain Lefebvre. “PCBend: Light up Your 3D Shapes with Foldable
Circuit Boards.” Transactions on Graphics. Association for Computing Machinery,
2023. https://doi.org/10.1145/3592411.'
ieee: 'M. Freire, M. Bhargava, C. Schreck, P.-A. Hugron, B. Bickel, and S. Lefebvre,
“PCBend: Light up your 3D shapes with foldable circuit boards,” Transactions
on Graphics, vol. 42, no. 4. Association for Computing Machinery, 2023.'
ista: 'Freire M, Bhargava M, Schreck C, Hugron P-A, Bickel B, Lefebvre S. 2023.
PCBend: Light up your 3D shapes with foldable circuit boards. Transactions on
Graphics. 42(4), 142.'
mla: 'Freire, Marco, et al. “PCBend: Light up Your 3D Shapes with Foldable Circuit
Boards.” Transactions on Graphics, vol. 42, no. 4, 142, Association for
Computing Machinery, 2023, doi:10.1145/3592411.'
short: M. Freire, M. Bhargava, C. Schreck, P.-A. Hugron, B. Bickel, S. Lefebvre,
Transactions on Graphics 42 (2023).
conference:
end_date: 2023-08-10
location: Los Angeles, CA, United States
name: 'SIGGRAPH: Computer Graphics and Interactive Techniques Conference'
start_date: 2023-08-06
date_created: 2023-05-22T08:37:04Z
date_published: 2023-07-26T00:00:00Z
date_updated: 2024-01-29T10:30:49Z
day: '26'
ddc:
- '006'
department:
- _id: GradSch
- _id: BeBi
doi: 10.1145/3592411
ec_funded: 1
external_id:
isi:
- '001044671300108'
file:
- access_level: open_access
checksum: a0b0ba3b36f43a94388e8824613d812a
content_type: application/pdf
creator: dernst
date_created: 2023-06-19T11:02:23Z
date_updated: 2023-06-19T11:02:23Z
file_id: '13156'
file_name: 2023_ACMToG_Freire.pdf
file_size: 78940724
relation: main_file
success: 1
- access_level: open_access
checksum: b9206bbb67af82df49b7e7cdbde3410c
content_type: application/pdf
creator: dernst
date_created: 2023-06-20T12:20:51Z
date_updated: 2023-06-20T12:20:51Z
file_id: '13157'
file_name: 2023_ACMToG_SuppMaterial_Freire.pdf
file_size: 34345905
relation: main_file
success: 1
file_date_updated: 2023-06-20T12:20:51Z
has_accepted_license: '1'
intvolume: ' 42'
isi: 1
issue: '4'
keyword:
- PCB design and layout
- Mesh geometry models
language:
- iso: eng
month: '07'
oa: 1
oa_version: Submitted Version
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: Transactions on Graphics
publication_identifier:
eissn:
- 1557-7368
issn:
- 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
status: public
title: 'PCBend: Light up your 3D shapes with foldable circuit boards'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 42
year: '2023'
...
---
_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: '11442'
abstract:
- lang: eng
text: "Enabling additive manufacturing to employ a wide range of novel, functional
materials can be a major boost to this technology. However, making such materials
printable requires painstaking trial-and-error by an expert operator,\r\nas they
typically tend to exhibit peculiar rheological or hysteresis properties. Even
in the case of successfully finding the process parameters, there is no guarantee
of print-to-print consistency due to material differences between batches. These
challenges make closed-loop feedback an attractive option where the process parameters
are adjusted on-the-fly. There are several challenges for designing an efficient
controller: the deposition parameters are complex and highly coupled, artifacts
occur after long time horizons, simulating the deposition is computationally costly,
and learning on hardware is intractable. In this work, we demonstrate the feasibility
of learning a closed-loop control policy for additive manufacturing using reinforcement
learning. We show that approximate, but efficient, numerical simulation is\r\nsufficient
as long as it allows learning the behavioral patterns of deposition that translate
to real-world experiences. In combination with reinforcement learning, our model
can be used to discover control policies that outperform\r\nbaseline controllers.
Furthermore, the recovered policies have a minimal sim-to-real gap. We showcase
this by applying our control policy in-vivo on a single-layer, direct ink writing
printer. "
acknowledgement: "This work is graciously supported by the following grant agencies:
FWF Lise Meitner (Grant M 3319), SNSF (Grant 200502), ERC Starting Grant (MATERIALIZABLE-715767),
NSF (Grant IIS-181507).\r\n"
article_number: '112'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Michael
full_name: Piovarci, Michael
id: 62E473F4-5C99-11EA-A40E-AF823DDC885E
last_name: Piovarci
- first_name: Michael
full_name: Foshey, Michael
last_name: Foshey
- first_name: Jie
full_name: Xu, Jie
last_name: Xu
- first_name: Timothy
full_name: Erps, Timothy
last_name: Erps
- first_name: Vahid
full_name: Babaei, Vahid
last_name: Babaei
- first_name: Piotr
full_name: Didyk, Piotr
last_name: Didyk
- first_name: Szymon
full_name: Rusinkiewicz, Szymon
last_name: Rusinkiewicz
- first_name: Wojciech
full_name: Matusik, Wojciech
last_name: Matusik
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
citation:
ama: Piovarci M, Foshey M, Xu J, et al. Closed-loop control of direct ink writing
via reinforcement learning. ACM Transactions on Graphics. 2022;41(4). doi:10.1145/3528223.3530144
apa: Piovarci, M., Foshey, M., Xu, J., Erps, T., Babaei, V., Didyk, P., … Bickel,
B. (2022). Closed-loop control of direct ink writing via reinforcement learning.
ACM Transactions on Graphics. Association for Computing Machinery. https://doi.org/10.1145/3528223.3530144
chicago: Piovarci, Michael, Michael Foshey, Jie Xu, Timothy Erps, Vahid Babaei,
Piotr Didyk, Szymon Rusinkiewicz, Wojciech Matusik, and Bernd Bickel. “Closed-Loop
Control of Direct Ink Writing via Reinforcement Learning.” ACM Transactions
on Graphics. Association for Computing Machinery, 2022. https://doi.org/10.1145/3528223.3530144.
ieee: M. Piovarci et al., “Closed-loop control of direct ink writing via
reinforcement learning,” ACM Transactions on Graphics, vol. 41, no. 4.
Association for Computing Machinery, 2022.
ista: Piovarci M, Foshey M, Xu J, Erps T, Babaei V, Didyk P, Rusinkiewicz S, Matusik
W, Bickel B. 2022. Closed-loop control of direct ink writing via reinforcement
learning. ACM Transactions on Graphics. 41(4), 112.
mla: Piovarci, Michael, et al. “Closed-Loop Control of Direct Ink Writing via Reinforcement
Learning.” ACM Transactions on Graphics, vol. 41, no. 4, 112, Association
for Computing Machinery, 2022, doi:10.1145/3528223.3530144.
short: M. Piovarci, M. Foshey, J. Xu, T. Erps, V. Babaei, P. Didyk, S. Rusinkiewicz,
W. Matusik, B. Bickel, ACM Transactions on Graphics 41 (2022).
date_created: 2022-06-10T06:41:47Z
date_published: 2022-06-01T00:00:00Z
date_updated: 2023-05-31T12:38:21Z
day: '01'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1145/3528223.3530144
ec_funded: 1
external_id:
arxiv:
- '2201.11819'
file:
- access_level: open_access
checksum: 27f6fe41c6ff84d50445cc9b0176d45b
content_type: application/pdf
creator: dernst
date_created: 2022-06-28T08:32:58Z
date_updated: 2022-06-28T08:32:58Z
file_id: '11467'
file_name: 2022_ACM_acceptedversion_Piovarci.pdf
file_size: 33994829
relation: main_file
success: 1
file_date_updated: 2022-06-28T08:32:58Z
has_accepted_license: '1'
intvolume: ' 41'
issue: '4'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Submitted Version
project:
- _id: eb901961-77a9-11ec-83b8-f5c883a62027
grant_number: M03319
name: Perception-Aware Appearance Fabrication
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- 1557-7368
issn:
- 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
related_material:
link:
- description: News on ISTA website
relation: press_release
url: https://ista.ac.at/en/news/machine-learning-3d-printing-fluids/
status: public
title: Closed-loop control of direct ink writing via reinforcement learning
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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 41
year: '2022'
...
---
_id: '11735'
abstract:
- lang: eng
text: "Interlocking puzzles are intriguing geometric games where the puzzle pieces
are held together based on their geometric arrangement, preventing the puzzle
from falling apart. High-level-of-difficulty, or simply high-level, interlocking
puzzles are a subclass of interlocking puzzles that require multiple moves to
take out the first subassembly from the puzzle. Solving a high-level interlocking
puzzle is a challenging task since one has to explore many different configurations
of the puzzle pieces until reaching a configuration where the first subassembly
can be taken out. Designing a high-level interlocking puzzle with a user-specified
level of difficulty is even harder since the puzzle pieces have to be interlocking
in all the configurations before the first subassembly is taken out.\r\n\r\nIn
this paper, we present a computational approach to design high-level interlocking
puzzles. The core idea is to represent all possible configurations of an interlocking
puzzle as well as transitions among these configurations using a rooted, undirected
graph called a disassembly graph and leverage this graph to find a disassembly
plan that requires a minimal number of moves to take out the first subassembly
from the puzzle. At the design stage, our algorithm iteratively constructs the
geometry of each puzzle piece to expand the disassembly graph incrementally, aiming
to achieve a user-specified level of difficulty. We show that our approach allows
efficient generation of high-level interlocking puzzles of various shape complexities,
including new solutions not attainable by state-of-the-art approaches."
acknowledgement: "We thank the reviewers for the valuable comments, David Gontier
for sharing the source code of the baseline design approach, Christian Hafner for
proofreading the paper, Keenan Crane for the 3D model of Cow, and Thingiverse for
the 3D models of Moai and Owl. This work was supported by the SUTD Start-up Research
Grant (Number: SRG ISTD 2019 148), the Swiss National Science Foundation (NCCR Digital
Fabrication Agreement #51NF40-141853), and\r\nthe European Research Council (ERC)
under the European Union’s Horizon 2020 research and innovation programme (Grant
Agreement No 715767 – MATERIALIZABLE)."
article_number: '150'
article_processing_charge: No
article_type: original
author:
- first_name: Rulin
full_name: Chen, Rulin
last_name: Chen
- first_name: Ziqi
full_name: Wang, Ziqi
last_name: Wang
- first_name: Peng
full_name: Song, Peng
last_name: Song
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
citation:
ama: Chen R, Wang Z, Song P, Bickel B. Computational design of high-level interlocking
puzzles. ACM Transactions on Graphics. 2022;41(4). doi:10.1145/3528223.3530071
apa: Chen, R., Wang, Z., Song, P., & Bickel, B. (2022). Computational design
of high-level interlocking puzzles. ACM Transactions on Graphics. Association
for Computing Machinery. https://doi.org/10.1145/3528223.3530071
chicago: Chen, Rulin, Ziqi Wang, Peng Song, and Bernd Bickel. “Computational Design
of High-Level Interlocking Puzzles.” ACM Transactions on Graphics. Association
for Computing Machinery, 2022. https://doi.org/10.1145/3528223.3530071.
ieee: R. Chen, Z. Wang, P. Song, and B. Bickel, “Computational design of high-level
interlocking puzzles,” ACM Transactions on Graphics, vol. 41, no. 4. Association
for Computing Machinery, 2022.
ista: Chen R, Wang Z, Song P, Bickel B. 2022. Computational design of high-level
interlocking puzzles. ACM Transactions on Graphics. 41(4), 150.
mla: Chen, Rulin, et al. “Computational Design of High-Level Interlocking Puzzles.”
ACM Transactions on Graphics, vol. 41, no. 4, 150, Association for Computing
Machinery, 2022, doi:10.1145/3528223.3530071.
short: R. Chen, Z. Wang, P. Song, B. Bickel, ACM Transactions on Graphics 41 (2022).
date_created: 2022-08-07T22:01:57Z
date_published: 2022-07-22T00:00:00Z
date_updated: 2023-08-03T13:21:22Z
day: '22'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1145/3528223.3530071
ec_funded: 1
external_id:
isi:
- '000830989200018'
file:
- access_level: open_access
checksum: 0b51651be45b1b33f2072bd5d2686c69
content_type: application/pdf
creator: bbickel
date_created: 2022-08-28T07:56:19Z
date_updated: 2022-08-28T07:56:19Z
file_id: '11992'
file_name: Chen-2022-High-LevelPuzzle_authorVersion.pdf
file_size: 16896871
relation: main_file
success: 1
file_date_updated: 2022-08-28T07:56:19Z
has_accepted_license: '1'
intvolume: ' 41'
isi: 1
issue: '4'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Submitted Version
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- 1557-7368
issn:
- 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
related_material:
link:
- description: News on ISTA website
relation: press_release
url: https://ista.ac.at/en/news/unlocking-interlocking-riddles/
scopus_import: '1'
status: public
title: Computational design of high-level interlocking puzzles
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 41
year: '2022'
...
---
_id: '11943'
abstract:
- lang: eng
text: Complex wiring between neurons underlies the information-processing network
enabling all brain functions, including cognition and memory. For understanding
how the network is structured, processes information, and changes over time, comprehensive
visualization of the architecture of living brain tissue with its cellular and
molecular components would open up major opportunities. However, electron microscopy
(EM) provides nanometre-scale resolution required for full in-silico
reconstruction1–5, yet is limited to fixed specimens and
static representations. Light microscopy allows live observation, with super-resolution
approaches6–12 facilitating nanoscale visualization, but
comprehensive 3D-reconstruction of living brain tissue has been hindered by tissue
photo-burden, photobleaching, insufficient 3D-resolution, and inadequate signal-to-noise
ratio (SNR). Here we demonstrate saturated reconstruction of living brain tissue.
We developed an integrated imaging and analysis technology, adapting stimulated
emission depletion (STED) microscopy6,13 in extracellularly
labelled tissue14 for high SNR and near-isotropic resolution.
Centrally, a two-stage deep-learning approach leveraged previously obtained information
on sample structure to drastically reduce photo-burden and enable automated volumetric
reconstruction down to single synapse level. Live reconstruction provides unbiased
analysis of tissue architecture across time in relation to functional activity
and targeted activation, and contextual understanding of molecular labelling.
This adoptable technology will facilitate novel insights into the dynamic functional
architecture of living brain tissue.
article_processing_charge: No
author:
- first_name: Philipp
full_name: Velicky, Philipp
id: 39BDC62C-F248-11E8-B48F-1D18A9856A87
last_name: Velicky
orcid: 0000-0002-2340-7431
- first_name: Eder
full_name: Miguel Villalba, Eder
id: 3FB91342-F248-11E8-B48F-1D18A9856A87
last_name: Miguel Villalba
orcid: 0000-0001-5665-0430
- first_name: Julia M
full_name: Michalska, Julia M
id: 443DB6DE-F248-11E8-B48F-1D18A9856A87
last_name: Michalska
orcid: 0000-0003-3862-1235
- first_name: Donglai
full_name: Wei, Donglai
last_name: Wei
- first_name: Zudi
full_name: Lin, Zudi
last_name: Lin
- first_name: Jake
full_name: Watson, Jake
id: 63836096-4690-11EA-BD4E-32803DDC885E
last_name: Watson
orcid: 0000-0002-8698-3823
- first_name: Jakob
full_name: Troidl, Jakob
last_name: Troidl
- first_name: Johanna
full_name: Beyer, Johanna
last_name: Beyer
- first_name: Yoav
full_name: Ben Simon, Yoav
id: 43DF3136-F248-11E8-B48F-1D18A9856A87
last_name: Ben Simon
- first_name: Christoph M
full_name: Sommer, Christoph M
id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87
last_name: Sommer
orcid: 0000-0003-1216-9105
- first_name: Wiebke
full_name: Jahr, Wiebke
id: 425C1CE8-F248-11E8-B48F-1D18A9856A87
last_name: Jahr
- first_name: Alban
full_name: Cenameri, Alban
id: 9ac8f577-2357-11eb-997a-e566c5550886
last_name: Cenameri
- first_name: Johannes
full_name: Broichhagen, Johannes
last_name: Broichhagen
- first_name: Seth G. N.
full_name: Grant, Seth G. N.
last_name: Grant
- first_name: Peter M
full_name: Jonas, Peter M
id: 353C1B58-F248-11E8-B48F-1D18A9856A87
last_name: Jonas
orcid: 0000-0001-5001-4804
- first_name: Gaia
full_name: Novarino, Gaia
id: 3E57A680-F248-11E8-B48F-1D18A9856A87
last_name: Novarino
orcid: 0000-0002-7673-7178
- first_name: Hanspeter
full_name: Pfister, Hanspeter
last_name: Pfister
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Johann G
full_name: Danzl, Johann G
id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
last_name: Danzl
orcid: 0000-0001-8559-3973
citation:
ama: Velicky P, Miguel Villalba E, Michalska JM, et al. Saturated reconstruction
of living brain tissue. bioRxiv. doi:10.1101/2022.03.16.484431
apa: Velicky, P., Miguel Villalba, E., Michalska, J. M., Wei, D., Lin, Z., Watson,
J., … Danzl, J. G. (n.d.). Saturated reconstruction of living brain tissue. bioRxiv.
Cold Spring Harbor Laboratory. https://doi.org/10.1101/2022.03.16.484431
chicago: Velicky, Philipp, Eder Miguel Villalba, Julia M Michalska, Donglai Wei,
Zudi Lin, Jake Watson, Jakob Troidl, et al. “Saturated Reconstruction of Living
Brain Tissue.” BioRxiv. Cold Spring Harbor Laboratory, n.d. https://doi.org/10.1101/2022.03.16.484431.
ieee: P. Velicky et al., “Saturated reconstruction of living brain tissue,”
bioRxiv. Cold Spring Harbor Laboratory.
ista: Velicky P, Miguel Villalba E, Michalska JM, Wei D, Lin Z, Watson J, Troidl
J, Beyer J, Ben Simon Y, Sommer CM, Jahr W, Cenameri A, Broichhagen J, Grant SGN,
Jonas PM, Novarino G, Pfister H, Bickel B, Danzl JG. Saturated reconstruction
of living brain tissue. bioRxiv, 10.1101/2022.03.16.484431.
mla: Velicky, Philipp, et al. “Saturated Reconstruction of Living Brain Tissue.”
BioRxiv, Cold Spring Harbor Laboratory, doi:10.1101/2022.03.16.484431.
short: P. Velicky, E. Miguel Villalba, J.M. Michalska, D. Wei, Z. Lin, J. Watson,
J. Troidl, J. Beyer, Y. Ben Simon, C.M. Sommer, W. Jahr, A. Cenameri, J. Broichhagen,
S.G.N. Grant, P.M. Jonas, G. Novarino, H. Pfister, B. Bickel, J.G. Danzl, BioRxiv
(n.d.).
date_created: 2022-08-23T11:07:59Z
date_published: 2022-05-09T00:00:00Z
date_updated: 2024-03-25T23:30:11Z
day: '09'
department:
- _id: PeJo
- _id: GaNo
- _id: BeBi
- _id: JoDa
doi: 10.1101/2022.03.16.484431
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1101/2022.03.16.484431
month: '05'
oa: 1
oa_version: Preprint
publication: bioRxiv
publication_status: submitted
publisher: Cold Spring Harbor Laboratory
related_material:
record:
- id: '12470'
relation: dissertation_contains
status: public
status: public
title: Saturated reconstruction of living brain tissue
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
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:
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file:
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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
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file_date_updated: 2022-08-28T18:18:08Z
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keyword:
- Computer Graphics and Computer-Aided Design
language:
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month: '09'
oa: 1
oa_version: Submitted Version
page: 435-452
publication: Computer Graphics Forum
publication_identifier:
eissn:
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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: '12452'
abstract:
- lang: eng
text: Portrait viewpoint and illumination editing is an important problem with several
applications in VR/AR, movies, and photography. Comprehensive knowledge of geometry
and illumination is critical for obtaining photorealistic results. Current methods
are unable to explicitly model in 3D while handing both viewpoint and illumination
editing from a single image. In this paper, we propose VoRF, a novel approach
that can take even a single portrait image as input and relight human heads under
novel illuminations that can be viewed from arbitrary viewpoints. VoRF represents
a human head as a continuous volumetric field and learns a prior model of human
heads using a coordinate-based MLP with separate latent spaces for identity and
illumination. The prior model is learnt in an auto-decoder manner over a diverse
class of head shapes and appearances, allowing VoRF to generalize to novel test
identities from a single input image. Additionally, VoRF has a reflectance MLP
that uses the intermediate features of the prior model for rendering One-Light-at-A-Time
(OLAT) images under novel views. We synthesize novel illuminations by combining
these OLAT images with target environment maps. Qualitative and quantitative evaluations
demonstrate the effectiveness of VoRF for relighting and novel view synthesis
even when applied to unseen subjects under uncontrolled illuminations.
acknowledgement: This work was supported by the ERC Consolidator Grant 4DReply (770784).
article_number: '708'
article_processing_charge: No
author:
- first_name: Pramod
full_name: Rao, Pramod
last_name: Rao
- first_name: Mallikarjun
full_name: B R, Mallikarjun
last_name: B R
- first_name: Gereon
full_name: Fox, Gereon
last_name: Fox
- 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: Ayush
full_name: Tewari, Ayush
last_name: Tewari
- first_name: Christian
full_name: Theobalt, Christian
last_name: Theobalt
- first_name: Mohamed
full_name: Elgharib, Mohamed
last_name: Elgharib
citation:
ama: 'Rao P, B R M, Fox G, et al. VoRF: Volumetric Relightable Faces. In: 33rd
British Machine Vision Conference. British Machine Vision Association and
Society for Pattern Recognition; 2022.'
apa: 'Rao, P., B R, M., Fox, G., Weyrich, T., Bickel, B., Seidel, H.-P., … Elgharib,
M. (2022). VoRF: Volumetric Relightable Faces. In 33rd British Machine Vision
Conference. London, United Kingdom: British Machine Vision Association and
Society for Pattern Recognition.'
chicago: 'Rao, Pramod, Mallikarjun B R, Gereon Fox, Tim Weyrich, Bernd Bickel, Hans-Peter
Seidel, Hanspeter Pfister, et al. “VoRF: Volumetric Relightable Faces.” In 33rd
British Machine Vision Conference. British Machine Vision Association and
Society for Pattern Recognition, 2022.'
ieee: 'P. Rao et al., “VoRF: Volumetric Relightable Faces,” in 33rd British
Machine Vision Conference, London, United Kingdom, 2022.'
ista: 'Rao P, B R M, Fox G, Weyrich T, Bickel B, Seidel H-P, Pfister H, Matusik
W, Tewari A, Theobalt C, Elgharib M. 2022. VoRF: Volumetric Relightable Faces.
33rd British Machine Vision Conference. BMVC: British Machine Vision Conference,
708.'
mla: 'Rao, Pramod, et al. “VoRF: Volumetric Relightable Faces.” 33rd British
Machine Vision Conference, 708, British Machine Vision Association and Society
for Pattern Recognition, 2022.'
short: P. Rao, M. B R, G. Fox, T. Weyrich, B. Bickel, H.-P. Seidel, H. Pfister,
W. Matusik, A. Tewari, C. Theobalt, M. Elgharib, in:, 33rd British Machine Vision
Conference, British Machine Vision Association and Society for Pattern Recognition,
2022.
conference:
end_date: 2022-11-24
location: London, United Kingdom
name: 'BMVC: British Machine Vision Conference'
start_date: 2022-11-21
date_created: 2023-01-30T10:47:06Z
date_published: 2022-12-01T00:00:00Z
date_updated: 2023-10-31T08:40:55Z
day: '01'
ddc:
- '000'
department:
- _id: BeBi
file:
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checksum: b60b70bb48700aee709c85a69231821d
content_type: application/pdf
creator: bbickel
date_created: 2023-01-30T10:48:18Z
date_updated: 2023-01-30T10:48:18Z
file_id: '12453'
file_name: vorf_main.pdf
file_size: 5202710
relation: main_file
title: 'VoRF: Volumetric Relightable Faces'
- access_level: open_access
checksum: ce5f4ce66eaaa1590ee5df989fca6f61
content_type: application/pdf
creator: bbickel
date_created: 2023-01-30T10:48:29Z
date_updated: 2023-01-30T10:48:29Z
file_id: '12454'
file_name: vorf_supp.pdf
file_size: 37953188
relation: supplementary_material
title: 'VoRF: Volumetric Relightable Faces – SUPPLEMENTAL MATERIAL –'
- access_level: open_access
checksum: 08aecca434b08fee75ee1efe87943718
content_type: video/mp4
creator: bbickel
date_created: 2023-01-30T10:48:37Z
date_updated: 2023-01-30T10:48:37Z
file_id: '12455'
file_name: video.mp4
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relation: supplementary_material
file_date_updated: 2023-01-30T10:48:37Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://bmvc2022.mpi-inf.mpg.de/708/
month: '12'
oa: 1
oa_version: Published Version
publication: 33rd British Machine Vision Conference
publication_status: published
publisher: British Machine Vision Association and Society for Pattern Recognition
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'VoRF: Volumetric Relightable Faces'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2022'
...
---
_id: '9241'
abstract:
- lang: eng
text: 'Volumetric light transport is a pervasive physical phenomenon, and therefore
its accurate simulation is important for a broad array of disciplines. While suitable
mathematical models for computing the transport are now available, obtaining the
necessary material parameters needed to drive such simulations is a challenging
task: direct measurements of these parameters from material samples are seldom
possible. Building on the inverse scattering paradigm, we present a novel measurement
approach which indirectly infers the transport parameters from extrinsic observations
of multiple-scattered radiance. The novelty of the proposed approach lies in replacing
structured illumination with a structured reflector bonded to the sample, and
a robust fitting procedure that largely compensates for potential systematic errors
in the calibration of the setup. We show the feasibility of our approach by validating
simulations of complex 3D compositions of the measured materials against physical
prints, using photo-polymer resins. As presented in this paper, our technique
yields colorspace data suitable for accurate appearance reproduction in the area
of 3D printing. Beyond that, and without fundamental changes to the basic measurement
methodology, it could equally well be used to obtain spectral measurements that
are useful for other application areas.'
acknowledgement: "H2020 Marie Skłodowska-Curie Actions (642841); European Research
Council (715767); Grantová Agentura České Republiky (16-08111S, 16-18964S); Univerzita
Karlova v Praze (SVV-2017-260452); Engineering and Physical Sciences Research Council
(EP/K023578/1).\r\nWe are grateful to Stratasys Ltd. for access to the voxel-level
print interface of the J750\r\nmachine."
article_processing_charge: No
article_type: original
author:
- first_name: Oskar
full_name: Elek, Oskar
last_name: Elek
- first_name: Ran
full_name: Zhang, Ran
id: 4DDBCEB0-F248-11E8-B48F-1D18A9856A87
last_name: Zhang
orcid: 0000-0002-3808-281X
- first_name: Denis
full_name: Sumin, Denis
last_name: Sumin
- first_name: Karol
full_name: Myszkowski, Karol
last_name: Myszkowski
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Alexander
full_name: Wilkie, Alexander
last_name: Wilkie
- first_name: Jaroslav
full_name: Křivánek, Jaroslav
last_name: Křivánek
- first_name: Tim
full_name: Weyrich, Tim
last_name: Weyrich
citation:
ama: Elek O, Zhang R, Sumin D, et al. Robust and practical measurement of volume
transport parameters in solid photo-polymer materials for 3D printing. Optics
Express. 2021;29(5):7568-7588. doi:10.1364/OE.406095
apa: Elek, O., Zhang, R., Sumin, D., Myszkowski, K., Bickel, B., Wilkie, A., … Weyrich,
T. (2021). Robust and practical measurement of volume transport parameters in
solid photo-polymer materials for 3D printing. Optics Express. The Optical
Society. https://doi.org/10.1364/OE.406095
chicago: Elek, Oskar, Ran Zhang, Denis Sumin, Karol Myszkowski, Bernd Bickel, Alexander
Wilkie, Jaroslav Křivánek, and Tim Weyrich. “Robust and Practical Measurement
of Volume Transport Parameters in Solid Photo-Polymer Materials for 3D Printing.”
Optics Express. The Optical Society, 2021. https://doi.org/10.1364/OE.406095.
ieee: O. Elek et al., “Robust and practical measurement of volume transport
parameters in solid photo-polymer materials for 3D printing,” Optics Express,
vol. 29, no. 5. The Optical Society, pp. 7568–7588, 2021.
ista: Elek O, Zhang R, Sumin D, Myszkowski K, Bickel B, Wilkie A, Křivánek J, Weyrich
T. 2021. Robust and practical measurement of volume transport parameters in solid
photo-polymer materials for 3D printing. Optics Express. 29(5), 7568–7588.
mla: Elek, Oskar, et al. “Robust and Practical Measurement of Volume Transport Parameters
in Solid Photo-Polymer Materials for 3D Printing.” Optics Express, vol.
29, no. 5, The Optical Society, 2021, pp. 7568–88, doi:10.1364/OE.406095.
short: O. Elek, R. Zhang, D. Sumin, K. Myszkowski, B. Bickel, A. Wilkie, J. Křivánek,
T. Weyrich, Optics Express 29 (2021) 7568–7588.
date_created: 2021-03-14T23:01:33Z
date_published: 2021-03-01T00:00:00Z
date_updated: 2023-08-07T14:11:57Z
day: '01'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1364/OE.406095
ec_funded: 1
external_id:
isi:
- '000624968100103'
file:
- access_level: open_access
checksum: a9697ad83136c19ad87e46aa2db63cfd
content_type: application/pdf
creator: dernst
date_created: 2021-03-22T08:15:28Z
date_updated: 2021-03-22T08:15:28Z
file_id: '9269'
file_name: 2021_OpticsExpress_Elek.pdf
file_size: 10873700
relation: main_file
success: 1
file_date_updated: 2021-03-22T08:15:28Z
has_accepted_license: '1'
intvolume: ' 29'
isi: 1
issue: '5'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
page: 7568-7588
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: Optics Express
publication_identifier:
eissn:
- 1094-4087
publication_status: published
publisher: The Optical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Robust and practical measurement of volume transport parameters in solid photo-polymer
materials for 3D printing
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: 29
year: '2021'
...
---
_id: '9376'
abstract:
- lang: eng
text: This paper presents a method for designing planar multistable compliant structures.
Given a sequence of desired stable states and the corresponding poses of the structure,
we identify the topology and geometric realization of a mechanism—consisting of
bars and joints—that is able to physically reproduce the desired multistable behavior.
In order to solve this problem efficiently, we build on insights from minimally
rigid graph theory to identify simple but effective topologies for the mechanism.
We then optimize its geometric parameters, such as joint positions and bar lengths,
to obtain correct transitions between the given poses. Simultaneously, we ensure
adequate stability of each pose based on an effective approximate error metric
related to the elastic energy Hessian of the bars in the mechanism. As demonstrated
by our results, we obtain functional multistable mechanisms of manageable complexity
that can be fabricated using 3D printing. Further, we evaluated the effectiveness
of our method on a large number of examples in the simulation and fabricated several
physical prototypes.
acknowledged_ssus:
- _id: M-Shop
acknowledgement: 'We would like to thank everyone who contributed to this paper, the
authors of artworks for all the examples, including @macrovec-tor_official and Wikimedia
for the FLAG semaphore, and @pikisuper-star for the FIGURINE. The photos of iconic
poses in the teaser were supplied by (from left to right): Mike Hewitt/Olympics
Day 8 - Athletics/Gettty Images, Oneinchpunch/Basketball player training on acourt
in New york city/Shutterstock, and Andrew Redington/TigerWoods/Getty Images. We
also want to express our gratitude to Christian Hafner for insightful discussions,
the IST Austria machine shop SSU, all proof-readers, and anonymous reviewers. This
project has received funding from the European Union’s Horizon 2020 research and
innovation programme, under the Marie Skłodowska-Curie grant agreement No 642841
(DISTRO), and under the European Research Council grant agreement No 715767 (MATERIALIZABLE).'
article_number: '186'
article_processing_charge: No
article_type: original
author:
- first_name: Ran
full_name: Zhang, Ran
id: 4DDBCEB0-F248-11E8-B48F-1D18A9856A87
last_name: Zhang
orcid: 0000-0002-3808-281X
- 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
citation:
ama: Zhang R, Auzinger T, Bickel B. Computational design of planar multistable compliant
structures. ACM Transactions on Graphics. 2021;40(5). doi:10.1145/3453477
apa: Zhang, R., Auzinger, T., & Bickel, B. (2021). Computational design of planar
multistable compliant structures. ACM Transactions on Graphics. Association
for Computing Machinery. https://doi.org/10.1145/3453477
chicago: Zhang, Ran, Thomas Auzinger, and Bernd Bickel. “Computational Design of
Planar Multistable Compliant Structures.” ACM Transactions on Graphics.
Association for Computing Machinery, 2021. https://doi.org/10.1145/3453477.
ieee: R. Zhang, T. Auzinger, and B. Bickel, “Computational design of planar multistable
compliant structures,” ACM Transactions on Graphics, vol. 40, no. 5. Association
for Computing Machinery, 2021.
ista: Zhang R, Auzinger T, Bickel B. 2021. Computational design of planar multistable
compliant structures. ACM Transactions on Graphics. 40(5), 186.
mla: Zhang, Ran, et al. “Computational Design of Planar Multistable Compliant Structures.”
ACM Transactions on Graphics, vol. 40, no. 5, 186, Association for Computing
Machinery, 2021, doi:10.1145/3453477.
short: R. Zhang, T. Auzinger, B. Bickel, ACM Transactions on Graphics 40 (2021).
date_created: 2021-05-08T17:37:08Z
date_published: 2021-10-08T00:00:00Z
date_updated: 2023-08-08T13:31:38Z
day: '08'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1145/3453477
ec_funded: 1
external_id:
isi:
- '000752079300003'
file:
- access_level: open_access
checksum: 8564b3118457d4c8939a8ef2b1a2f16c
content_type: application/pdf
creator: bbickel
date_created: 2021-05-08T17:36:59Z
date_updated: 2021-05-08T17:36:59Z
file_id: '9377'
file_name: Multistable-authorversion.pdf
file_size: 18926557
relation: main_file
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checksum: 3b6e874e30bfa1bfc3ad3498710145a1
content_type: video/mp4
creator: bbickel
date_created: 2021-05-08T17:38:22Z
date_updated: 2021-05-08T17:38:22Z
file_id: '9378'
file_name: multistable-video.mp4
file_size: 76542901
relation: main_file
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content_type: application/pdf
creator: bbickel
date_created: 2021-12-17T08:13:51Z
date_updated: 2021-12-17T08:13:51Z
description: This document provides additional results and analyzes the robustness
and limitations of our approach.
file_id: '10562'
file_name: multistable-supplementary material.pdf
file_size: 3367072
relation: supplementary_material
title: Supplementary Material for “Computational Design of Planar Multistable Compliant
Structures”
file_date_updated: 2021-12-17T08:13:51Z
has_accepted_license: '1'
intvolume: ' 40'
isi: 1
issue: '5'
keyword:
- multistability
- mechanism
- computational design
- rigidity
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
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: ACM Transactions on Graphics
publication_identifier:
eissn:
- 1557-7368
issn:
- 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
status: public
title: Computational design of planar multistable compliant structures
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: '9408'
abstract:
- lang: eng
text: We present a computational design system that assists users to model, optimize,
and fabricate quad-robots with soft skins. Our system addresses the challenging
task of predicting their physical behavior by fully integrating the multibody
dynamics of the mechanical skeleton and the elastic behavior of the soft skin.
The developed motion control strategy uses an alternating optimization scheme
to avoid expensive full space time-optimization, interleaving space-time optimization
for the skeleton, and frame-by-frame optimization for the full dynamics. The output
are motor torques to drive the robot to achieve a user prescribed motion trajectory.
We also provide a collection of convenient engineering tools and empirical manufacturing
guidance to support the fabrication of the designed quad-robot. We validate the
feasibility of designs generated with our system through physics simulations and
with a physically-fabricated prototype.
acknowledgement: The authors would like to thank anonymous reviewers for their constructive
comments. Weiwei Xu is partially supported by Zhejiang Lab. Yin Yang is partially
spported by NSF under Grant Nos. CHS 1845024 and 1717972. Weiwei Xu and Hujun Bao
are supported by Fundamental Research Funds for the Central Universities. This project
has received funding from the European Research Council (ERC) under the European
Unions Horizon 2020 research and innovation programme (Grant agreement No 715767).
article_number: 2881-2895
article_processing_charge: No
author:
- first_name: Xudong
full_name: Feng, Xudong
last_name: Feng
- first_name: Jiafeng
full_name: Liu, Jiafeng
last_name: Liu
- first_name: Huamin
full_name: Wang, Huamin
last_name: Wang
- first_name: Yin
full_name: Yang, Yin
last_name: Yang
- first_name: Hujun
full_name: Bao, Hujun
last_name: Bao
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Weiwei
full_name: Xu, Weiwei
last_name: Xu
citation:
ama: Feng X, Liu J, Wang H, et al. Computational design of skinned Quad-Robots.
IEEE Transactions on Visualization and Computer Graphics. 2021;27(6). doi:10.1109/TVCG.2019.2957218
apa: Feng, X., Liu, J., Wang, H., Yang, Y., Bao, H., Bickel, B., & Xu, W. (2021).
Computational design of skinned Quad-Robots. IEEE Transactions on Visualization
and Computer Graphics. IEEE. https://doi.org/10.1109/TVCG.2019.2957218
chicago: Feng, Xudong, Jiafeng Liu, Huamin Wang, Yin Yang, Hujun Bao, Bernd Bickel,
and Weiwei Xu. “Computational Design of Skinned Quad-Robots.” IEEE Transactions
on Visualization and Computer Graphics. IEEE, 2021. https://doi.org/10.1109/TVCG.2019.2957218.
ieee: X. Feng et al., “Computational design of skinned Quad-Robots,” IEEE
Transactions on Visualization and Computer Graphics, vol. 27, no. 6. IEEE,
2021.
ista: Feng X, Liu J, Wang H, Yang Y, Bao H, Bickel B, Xu W. 2021. Computational
design of skinned Quad-Robots. IEEE Transactions on Visualization and Computer
Graphics. 27(6), 2881–2895.
mla: Feng, Xudong, et al. “Computational Design of Skinned Quad-Robots.” IEEE
Transactions on Visualization and Computer Graphics, vol. 27, no. 6, 2881–2895,
IEEE, 2021, doi:10.1109/TVCG.2019.2957218.
short: X. Feng, J. Liu, H. Wang, Y. Yang, H. Bao, B. Bickel, W. Xu, IEEE Transactions
on Visualization and Computer Graphics 27 (2021).
date_created: 2021-05-23T22:01:42Z
date_published: 2021-06-01T00:00:00Z
date_updated: 2023-08-08T13:45:46Z
day: '01'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1109/TVCG.2019.2957218
ec_funded: 1
external_id:
isi:
- '000649620700009'
pmid:
- '31804937'
file:
- access_level: open_access
checksum: a78e6ac94e33ade4ffaea66943d5f7dc
content_type: application/pdf
creator: kschuh
date_created: 2021-05-25T15:08:49Z
date_updated: 2021-05-25T15:08:49Z
file_id: '9427'
file_name: 2021_TVCG_Feng.pdf
file_size: 6183002
relation: main_file
success: 1
file_date_updated: 2021-05-25T15:08:49Z
has_accepted_license: '1'
intvolume: ' 27'
isi: 1
issue: '6'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: IEEE Transactions on Visualization and Computer Graphics
publication_identifier:
eissn:
- '10772626'
issn:
- '19410506'
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Computational design of skinned Quad-Robots
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: 27
year: '2021'
...
---
_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: '10148'
abstract:
- lang: eng
text: Tactile feedback of an object’s surface enables us to discern its material
properties and affordances. This understanding is used in digital fabrication
processes by creating objects with high-resolution surface variations to influence
a user’s tactile perception. As the design of such surface haptics commonly relies
on knowledge from real-life experiences, it is unclear how to adapt this information
for digital design methods. In this work, we investigate replicating the haptics
of real materials. Using an existing process for capturing an object’s microgeometry,
we digitize and reproduce the stable surface information of a set of 15 fabric
samples. In a psychophysical experiment, we evaluate the tactile qualities of
our set of original samples and their replicas. From our results, we see that
direct reproduction of surface variations is able to influence different psychophysical
dimensions of the tactile perception of surface textures. While the fabrication
process did not preserve all properties, our approach underlines that replication
of surface microgeometries benefits fabrication methods in terms of haptic perception
by covering a large range of tactile variations. Moreover, by changing the surface
structure of a single fabricated material, its material perception can be influenced.
We conclude by proposing strategies for capturing and reproducing digitized textures
to better resemble the perceived haptics of the originals.
acknowledgement: Our gratitude goes out to Kamila Mushkina, Akhmajon Makhsadov, Jordan
Espenshade, Bruno Fruchard, Roland Bennewitz, and Robert Drumm. This project has
received funding from the EU’s Horizon 2020 research and innovation programme, under
the Marie Skłodowska-Curie grant agreement No 642841 (DISTRO).
article_processing_charge: No
author:
- first_name: Donald
full_name: Degraen, Donald
last_name: Degraen
- first_name: Michael
full_name: Piovarci, Michael
id: 62E473F4-5C99-11EA-A40E-AF823DDC885E
last_name: Piovarci
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Antonio
full_name: Kruger, Antonio
last_name: Kruger
citation:
ama: 'Degraen D, Piovarci M, Bickel B, Kruger A. Capturing tactile properties of
real surfaces for haptic reproduction. In: 34th Annual ACM Symposium. Association
for Computing Machinery; 2021:954-971. doi:10.1145/3472749.3474798'
apa: 'Degraen, D., Piovarci, M., Bickel, B., & Kruger, A. (2021). Capturing
tactile properties of real surfaces for haptic reproduction. In 34th Annual
ACM Symposium (pp. 954–971). Virtual: Association for Computing Machinery.
https://doi.org/10.1145/3472749.3474798'
chicago: Degraen, Donald, Michael Piovarci, Bernd Bickel, and Antonio Kruger. “Capturing
Tactile Properties of Real Surfaces for Haptic Reproduction.” In 34th Annual
ACM Symposium, 954–71. Association for Computing Machinery, 2021. https://doi.org/10.1145/3472749.3474798.
ieee: D. Degraen, M. Piovarci, B. Bickel, and A. Kruger, “Capturing tactile properties
of real surfaces for haptic reproduction,” in 34th Annual ACM Symposium,
Virtual, 2021, pp. 954–971.
ista: 'Degraen D, Piovarci M, Bickel B, Kruger A. 2021. Capturing tactile properties
of real surfaces for haptic reproduction. 34th Annual ACM Symposium. UIST: User
Interface Software and Technology, 954–971.'
mla: Degraen, Donald, et al. “Capturing Tactile Properties of Real Surfaces for
Haptic Reproduction.” 34th Annual ACM Symposium, Association for Computing
Machinery, 2021, pp. 954–71, doi:10.1145/3472749.3474798.
short: D. Degraen, M. Piovarci, B. Bickel, A. Kruger, in:, 34th Annual ACM Symposium,
Association for Computing Machinery, 2021, pp. 954–971.
conference:
end_date: 2021-10-14
location: Virtual
name: 'UIST: User Interface Software and Technology'
start_date: 2021-10-10
date_created: 2021-10-18T07:36:11Z
date_published: 2021-10-10T00:00:00Z
date_updated: 2021-10-19T19:29:06Z
day: '10'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1145/3472749.3474798
ec_funded: 1
file:
- access_level: open_access
checksum: b0b26464df79b3a59e8ed82e4e19ab15
content_type: application/pdf
creator: bbickel
date_created: 2021-10-18T07:36:03Z
date_updated: 2021-10-18T07:36:03Z
file_id: '10149'
file_name: degraen-UIST2021_Texture_Appropriation_CR_preprint.pdf
file_size: 29796364
relation: main_file
file_date_updated: 2021-10-18T07:36:03Z
has_accepted_license: '1'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Preprint
page: 954-971
project:
- _id: 2508E324-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '642841'
name: Distributed 3D Object Design
publication: 34th Annual ACM Symposium
publication_identifier:
isbn:
- 978-1-4503-8635-7
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
status: public
title: Capturing tactile properties of real surfaces for haptic reproduction
type: conference
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2021'
...