---
_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
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
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: '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
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: '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
file:
- access_level: open_access
checksum: 0192f597d7a2ceaf89baddfd6190d4c8
content_type: application/zip
creator: yichen
date_created: 2023-11-29T15:16:01Z
date_updated: 2023-11-29T15:16:01Z
file_id: '14630'
file_name: tog-22-0089-File004.zip
file_size: 95467870
relation: main_file
success: 1
- access_level: open_access
checksum: 7fb024963be81933494f38de191e4710
content_type: application/zip
creator: yichen
date_created: 2023-11-29T15:16:01Z
date_updated: 2023-11-29T15:16:01Z
file_id: '14631'
file_name: tog-22-0089-File005.zip
file_size: 103731880
relation: main_file
success: 1
- access_level: open_access
checksum: b7d6829ce396e21cac9fae0ec7130a6b
content_type: application/pdf
creator: dernst
date_created: 2023-12-04T08:04:14Z
date_updated: 2023-12-04T08:04:14Z
file_id: '14638'
file_name: 2023_ACMToG_Makatura.pdf
file_size: 57067476
relation: main_file
success: 1
file_date_updated: 2023-12-04T08:04:14Z
has_accepted_license: '1'
intvolume: ' 42'
issue: '5'
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: '12976'
abstract:
- lang: eng
text: "3D printing based on continuous deposition of materials, such as filament-based
3D printing, has seen widespread adoption thanks to its versatility in working
with a wide range of materials. An important shortcoming of this type of technology
is its limited multi-material capabilities. While there are simple hardware designs
that enable multi-material printing in principle, the required software is heavily
underdeveloped. A typical hardware design fuses together individual materials
fed into a single chamber from multiple inlets before they are deposited. This
design, however, introduces a time delay between the intended material mixture
and its actual deposition. In this work, inspired by diverse path planning research
in robotics, we show that this mechanical challenge can be addressed via improved
printer control. We propose to formulate the search for optimal multi-material
printing policies in a reinforcement\r\nlearning setup. We put forward a simple
numerical deposition model that takes into account the non-linear material mixing
and delayed material deposition. To validate our system we focus on color fabrication,
a problem known for its strict requirements for varying material mixtures at a
high spatial frequency. We demonstrate that our learned control policy outperforms
state-of-the-art hand-crafted algorithms."
acknowledgement: This work is graciously supported by FWF Lise Meitner (Grant M 3319).
Kang Liao sincerely thank Emiliano Luci, Chunyu Lin, and Yao Zhao for their huge
support.
article_processing_charge: No
author:
- first_name: Kang
full_name: Liao, Kang
last_name: Liao
- first_name: Thibault
full_name: Tricard, Thibault
last_name: Tricard
- first_name: Michael
full_name: Piovarci, Michael
id: 62E473F4-5C99-11EA-A40E-AF823DDC885E
last_name: Piovarci
orcid: 0000-0002-5062-4474
- first_name: Hans-Peter
full_name: Seidel, Hans-Peter
last_name: Seidel
- first_name: Vahid
full_name: Babaei, Vahid
last_name: Babaei
citation:
ama: 'Liao K, Tricard T, Piovarci M, Seidel H-P, Babaei V. Learning deposition policies
for fused multi-material 3D printing. In: 2023 IEEE International Conference
on Robotics and Automation. Vol 2023. IEEE; 2023:12345-12352. doi:10.1109/ICRA48891.2023.10160465'
apa: 'Liao, K., Tricard, T., Piovarci, M., Seidel, H.-P., & Babaei, V. (2023).
Learning deposition policies for fused multi-material 3D printing. In 2023
IEEE International Conference on Robotics and Automation (Vol. 2023, pp. 12345–12352).
London, United Kingdom: IEEE. https://doi.org/10.1109/ICRA48891.2023.10160465'
chicago: Liao, Kang, Thibault Tricard, Michael Piovarci, Hans-Peter Seidel, and
Vahid Babaei. “Learning Deposition Policies for Fused Multi-Material 3D Printing.”
In 2023 IEEE International Conference on Robotics and Automation, 2023:12345–52.
IEEE, 2023. https://doi.org/10.1109/ICRA48891.2023.10160465.
ieee: K. Liao, T. Tricard, M. Piovarci, H.-P. Seidel, and V. Babaei, “Learning deposition
policies for fused multi-material 3D printing,” in 2023 IEEE International
Conference on Robotics and Automation, London, United Kingdom, 2023, vol.
2023, pp. 12345–12352.
ista: 'Liao K, Tricard T, Piovarci M, Seidel H-P, Babaei V. 2023. Learning deposition
policies for fused multi-material 3D printing. 2023 IEEE International Conference
on Robotics and Automation. ICRA: International Conference on Robotics and Automation
vol. 2023, 12345–12352.'
mla: Liao, Kang, et al. “Learning Deposition Policies for Fused Multi-Material 3D
Printing.” 2023 IEEE International Conference on Robotics and Automation,
vol. 2023, IEEE, 2023, pp. 12345–52, doi:10.1109/ICRA48891.2023.10160465.
short: K. Liao, T. Tricard, M. Piovarci, H.-P. Seidel, V. Babaei, in:, 2023 IEEE
International Conference on Robotics and Automation, IEEE, 2023, pp. 12345–12352.
conference:
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title: Learning deposition policies for fused multi-material 3D printing
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