Current Year
Article
Bemana, M., Myszkowski, K., Seidel, H.-P., and Ritschel, T. X-Fields: Implicit Neural View-, Light- and Time-Image Interpolation. ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2020)39, 6.
(Accepted/in press) Export
BibTeX
@article{Bemana2020,
TITLE = {X-{F}ields: {I}mplicit Neural View-, Light- and Time-Image Interpolation},
AUTHOR = {Bemana, Mojtaba and Myszkowski, Karol and Seidel, Hans-Peter and Ritschel, Tobias},
LANGUAGE = {eng},
ISSN = {0730-0301},
PUBLISHER = {ACM},
PUBLISHER = {ACM},
ADDRESS = {New York, NY},
ADDRESS = {New York, NY},
YEAR = {2020},
PUBLREMARK = {Accepted},
JOURNAL = {ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia)},
VOLUME = {39},
NUMBER = {6},
EID = {257},
BOOKTITLE = {Proceedings of ACM SIGGRAPH Asia 2020},
}
Endnote
%0 Journal Article
%A Bemana, Mojtaba
%A Myszkowski, Karol
%A Seidel, Hans-Peter
%A Ritschel, Tobias
%+ Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
%T X-Fields: Implicit Neural View-, Light- and Time-Image Interpolation :
%G eng
%U http://hdl.handle.net/21.11116/0000-0006-FBF0-0
%D 2020
%J ACM Transactions on Graphics
%V 39
%N 6
%Z sequence number: 257
%I ACM
%C New York, NY
%@ false
%B Proceedings of ACM SIGGRAPH Asia 2020
%O ACM SIGGRAPH Asia 2020 SA'20 SA 2020
%I ACM
%C New York, NY
Çoğalan, U. and Akyüz, A.O. 2020. Deep Joint Deinterlacing and Denoising for Single Shot Dual-ISO HDR Reconstruction. IEEE Transactions on Image Processing29.
Export
BibTeX
@article{Cogalan2020,
TITLE = {Deep Joint Deinterlacing and Denoising for Single Shot Dual-{ISO HDR} Reconstruction},
AUTHOR = {{\c C}o{\u g}alan, U{\u g}ur and Aky{\"u}z, Ahmet O{\u g}uz},
LANGUAGE = {eng},
ISSN = {1057-7149},
DOI = {10.1109/TIP.2020.3004014},
PUBLISHER = {IEEE},
ADDRESS = {Piscataway, NJ},
YEAR = {2020},
DATE = {2020},
JOURNAL = {IEEE Transactions on Image Processing},
VOLUME = {29},
PAGES = {7511--7524},
}
Endnote
%0 Journal Article
%A Çoğalan, Uğur
%A Akyüz , Ahmet Oğuz
%+ Computer Graphics, MPI for Informatics, Max Planck Society
External Organizations
%T Deep Joint Deinterlacing and Denoising for Single Shot Dual-ISO HDR Reconstruction :
%G eng
%U http://hdl.handle.net/21.11116/0000-0006-DCA7-6
%R 10.1109/TIP.2020.3004014
%7 2020
%D 2020
%J IEEE Transactions on Image Processing
%V 29
%& 7511
%P 7511 - 7524
%I IEEE
%C Piscataway, NJ
%@ false
Egger, B., Smith, W.A.P., Tewari, A., et al. 2020. 3D Morphable Face Models -Past, Present and Future. ACM Transactions on Graphics39, 5.
Export
BibTeX
@article{Egger_TOG2020,
TITLE = {{3D} Morphable Face Models -- Past, Present and Future},
AUTHOR = {Egger, Bernhard and Smith, William A. P. and Tewari, Ayush and Wuhrer, Stefanie and Zollh{\"o}fer, Michael and Beeler, Thabo and Bernard, Florian and Bolkart, Timo and Kortylewski, Adam and Romdhani, Sami and Theobalt, Christian and Blanz, Volker and Vetter, Thomas},
LANGUAGE = {eng},
ISSN = {0730-0301},
DOI = {10.1145/3395208},
PUBLISHER = {ACM},
ADDRESS = {New York, NY},
YEAR = {2020},
JOURNAL = {ACM Transactions on Graphics},
VOLUME = {39},
NUMBER = {5},
EID = {157},
}
Endnote
%0 Journal Article
%A Egger, Bernhard
%A Smith, William A. P.
%A Tewari, Ayush
%A Wuhrer, Stefanie
%A Zollhöfer, Michael
%A Beeler, Thabo
%A Bernard, Florian
%A Bolkart, Timo
%A Kortylewski, Adam
%A Romdhani, Sami
%A Theobalt, Christian
%A Blanz, Volker
%A Vetter, Thomas
%+ External Organizations
External Organizations
Computer Graphics, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
External Organizations
Computer Graphics, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
External Organizations
Computer Graphics, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
%T 3D Morphable Face Models -Past, Present and Future :
%G eng
%U http://hdl.handle.net/21.11116/0000-0007-1CF5-6
%R 10.1145/3395208
%7 2020
%D 2020
%J ACM Transactions on Graphics
%V 39
%N 5
%Z sequence number: 157
%I ACM
%C New York, NY
%@ false
Günther, F., Jiang, C., and Pottmann, H. 2020. Smooth Polyhedral Surfaces. Advances in Mathematics363.
(arXiv: 1703.05318) Abstract
Polyhedral surfaces are fundamental objects in architectural geometry and industrial design. Whereas closeness of a given mesh to a smooth reference surface and its suitability for numerical simulations were already studied extensively, the aim of our work is to find and to discuss suitable assessments of smoothness of polyhedral surfaces that only take the geometry of the polyhedral surface itself into account. Motivated by analogies to classical differential geometry, we propose a theory of smoothness of polyhedral surfaces including suitable notions of normal vectors, tangent planes, asymptotic directions, and parabolic curves that are invariant under projective transformations. It is remarkable that seemingly mild conditions significantly limit the shapes of faces of a smooth polyhedral surface. Besides being of theoretical interest, we believe that smoothness of polyhedral surfaces is of interest in the architectural context, where vertices and edges of polyhedral surfaces are highly visible.
Export
BibTeX
@article{Guenther2020,
TITLE = {Smooth Polyhedral Surfaces},
AUTHOR = {G{\"u}nther, Felix and Jiang, Caigui and Pottmann, Helmut},
LANGUAGE = {eng},
URL = {http://arxiv.org/abs/1703.05318},
DOI = {10.1016/j.aim.2020.107004},
EPRINT = {1703.05318},
EPRINTTYPE = {arXiv},
PUBLISHER = {Elsevier},
YEAR = {2020},
DATE = {2020},
ABSTRACT = {Polyhedral surfaces are fundamental objects in architectural geometry and industrial design. Whereas closeness of a given mesh to a smooth reference surface and its suitability for numerical simulations were already studied extensively, the aim of our work is to find and to discuss suitable assessments of smoothness of polyhedral surfaces that only take the geometry of the polyhedral surface itself into account. Motivated by analogies to classical differential geometry, we propose a theory of smoothness of polyhedral surfaces including suitable notions of normal vectors, tangent planes, asymptotic directions, and parabolic curves that are invariant under projective transformations. It is remarkable that seemingly mild conditions significantly limit the shapes of faces of a smooth polyhedral surface. Besides being of theoretical interest, we believe that smoothness of polyhedral surfaces is of interest in the architectural context, where vertices and edges of polyhedral surfaces are highly visible.},
JOURNAL = {Advances in Mathematics},
VOLUME = {363},
EID = {107004},
}
Endnote
%0 Journal Article
%A Günther, Felix
%A Jiang, Caigui
%A Pottmann, Helmut
%+ External Organizations
Computer Graphics, MPI for Informatics, Max Planck Society
External Organizations
%T Smooth Polyhedral Surfaces :
%G eng
%U http://hdl.handle.net/21.11116/0000-0006-9760-3
%U http://arxiv.org/abs/1703.05318
%R 10.1016/j.aim.2020.107004
%D 2020
%* Review method: peer-reviewed
%X Polyhedral surfaces are fundamental objects in architectural geometry and industrial design. Whereas closeness of a given mesh to a smooth reference surface and its suitability for numerical simulations were already studied extensively, the aim of our work is to find and to discuss suitable assessments of smoothness of polyhedral surfaces that only take the geometry of the polyhedral surface itself into account. Motivated by analogies to classical differential geometry, we propose a theory of smoothness of polyhedral surfaces including suitable notions of normal vectors, tangent planes, asymptotic directions, and parabolic curves that are invariant under projective transformations. It is remarkable that seemingly mild conditions significantly limit the shapes of faces of a smooth polyhedral surface. Besides being of theoretical interest, we believe that smoothness of polyhedral surfaces is of interest in the architectural context, where vertices and edges of polyhedral surfaces are highly visible.
%K Mathematics, Metric Geometry, Mathematics, Differential Geometry
%J Advances in Mathematics
%O Adv. Math.
%V 363
%Z sequence number: 107004
%I Elsevier
Mlakar, D., Winter, M., Stadlbauer, P., Seidel, H.-P., Steinberger, M., and Zayer, R. 2020. Subdivision‐Specialized Linear Algebra Kernels for Static and Dynamic Mesh Connectivity on the GPU. Computer Graphics Forum (Proc. EUROGRAPHICS 2020)39, 2.
Export
BibTeX
@article{Mlakar_EG2020,
TITLE = {Subdivision‐Specialized Linear Algebra Kernels for Static and Dynamic Mesh Connectivity on the {GPU}},
AUTHOR = {Mlakar, Daniel and Winter, M. and Stadlbauer, Pascal and Seidel, Hans-Peter and Steinberger, Markus and Zayer, Rhaleb},
LANGUAGE = {eng},
ISSN = {0167-7055},
DOI = {10.1111/cgf.13934},
PUBLISHER = {Blackwell-Wiley},
ADDRESS = {Oxford},
YEAR = {2020},
DATE = {2020},
JOURNAL = {Computer Graphics Forum (Proc. EUROGRAPHICS)},
VOLUME = {39},
NUMBER = {2},
PAGES = {335--349},
BOOKTITLE = {The European Association for Computer Graphics 41st Annual Conference (EUROGRAPHICS 2020)},
EDITOR = {Panozzo, Daniele and Assarsson, Ulf},
}
Endnote
%0 Journal Article
%A Mlakar, Daniel
%A Winter, M.
%A Stadlbauer, Pascal
%A Seidel, Hans-Peter
%A Steinberger, Markus
%A Zayer, Rhaleb
%+ Computer Graphics, MPI for Informatics, Max Planck Society
External Organizations
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
%T Subdivision‐Specialized Linear Algebra Kernels for Static and Dynamic Mesh Connectivity on the GPU :
%G eng
%U http://hdl.handle.net/21.11116/0000-0006-DB80-2
%R 10.1111/cgf.13934
%7 2020
%D 2020
%J Computer Graphics Forum
%O Computer Graphics Forum : journal of the European Association for Computer Graphics Comput. Graph. Forum
%V 39
%N 2
%& 335
%P 335 - 349
%I Blackwell-Wiley
%C Oxford
%@ false
%B The European Association for Computer Graphics 41st Annual Conference
%O EUROGRAPHICS 2020 EG 2020 The European Association for Computer Graphics 41st Annual Conference ; Norrköping, Sweden, May 25 – 29, 2020
Saberpour, A., Hersch, R.D., Fang, J., Zayer, R., Seidel, H.-P., and Babaei, V. 2020. Fabrication of Moiré on Curved Surfaces. Optics Express28, 13.
Export
BibTeX
@article{Saberpour2020,
TITLE = {Fabrication of Moir{\'e} on Curved Surfaces},
AUTHOR = {Saberpour, Artin and Hersch, Roger D. and Fang, Jiajing and Zayer, Rhaleb and Seidel, Hans-Peter and Babaei, Vahid},
LANGUAGE = {eng},
ISSN = {1094-4087},
DOI = {10.1364/OE.393843},
PUBLISHER = {Optical Society of America},
ADDRESS = {Washington, DC},
YEAR = {2020},
DATE = {2020},
JOURNAL = {Optics Express},
VOLUME = {28},
NUMBER = {13},
PAGES = {19413--19427},
}
Endnote
%0 Journal Article
%A Saberpour, Artin
%A Hersch, Roger D.
%A Fang, Jiajing
%A Zayer, Rhaleb
%A Seidel, Hans-Peter
%A Babaei, Vahid
%+ Computer Graphics, MPI for Informatics, Max Planck Society
External Organizations
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
%T Fabrication of Moiré on Curved Surfaces :
%G eng
%U http://hdl.handle.net/21.11116/0000-0006-D39D-B
%R 10.1364/OE.393843
%7 2020
%D 2020
%J Optics Express
%O Opt. Express
%V 28
%N 13
%& 19413
%P 19413 - 19427
%I Optical Society of America
%C Washington, DC
%@ false
Serrano, A., Martin, D., Gutierrez, D., Myszkowski, K., and Masia, B. Imperceptible Manipulation of Lateral Camera Motion for Improved Virtual Reality Applications. ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2020)39, 6.
(Accepted/in press) Export
BibTeX
@article{Serrano2020,
TITLE = {Imperceptible Manipulation of Lateral Camera Motion for Improved Virtual Reality Applications},
AUTHOR = {Serrano, Ana and Martin, Daniel and Gutierrez, Diego and Myszkowski, Karol and Masia, Belen},
LANGUAGE = {eng},
ISSN = {0730-0301},
PUBLISHER = {ACM},
PUBLISHER = {ACM},
ADDRESS = {New York, NY},
ADDRESS = {New York, NY},
YEAR = {2020},
PUBLREMARK = {Accepted},
JOURNAL = {ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia)},
VOLUME = {39},
NUMBER = {6},
EID = {268},
BOOKTITLE = {Proceedings of ACM SIGGRAPH Asia 2020},
}
Endnote
%0 Journal Article
%A Serrano, Ana
%A Martin, Daniel
%A Gutierrez, Diego
%A Myszkowski, Karol
%A Masia, Belen
%+ External Organizations
External Organizations
External Organizations
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
%T Imperceptible Manipulation of Lateral Camera Motion for Improved Virtual Reality Applications :
%G eng
%U http://hdl.handle.net/21.11116/0000-0006-FBE8-A
%D 2020
%J ACM Transactions on Graphics
%V 39
%N 6
%Z sequence number: 268
%I ACM
%C New York, NY
%@ false
%B Proceedings of ACM SIGGRAPH Asia 2020
%O ACM SIGGRAPH Asia 2020 SA'20 SA 2020
%I ACM
%C New York, NY
Singh, G., Subr, K., Coeurjolly, D., Ostromoukhov, V., and Jarosz, W. 2020. Fourier Analysis of Correlated Monte Carlo Importance Sampling. Computer Graphics Forum39, 1.
Export
BibTeX
@article{SinghCGF2020,
TITLE = {Fourier Analysis of Correlated {Monte Carlo} Importance Sampling},
AUTHOR = {Singh, Gurprit and Subr, Kartic and Coeurjolly, David and Ostromoukhov, Victor and Jarosz, Wojciech},
LANGUAGE = {eng},
ISSN = {0167-7055},
DOI = {10.1111/cgf.13613},
PUBLISHER = {Blackwell-Wiley},
ADDRESS = {Oxford},
YEAR = {2020},
DATE = {2020},
JOURNAL = {Computer Graphics Forum},
VOLUME = {39},
NUMBER = {1},
PAGES = {7--19},
}
Endnote
%0 Journal Article
%A Singh, Gurprit
%A Subr, Kartic
%A Coeurjolly, David
%A Ostromoukhov, Victor
%A Jarosz, Wojciech
%+ Computer Graphics, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
External Organizations
External Organizations
%T Fourier Analysis of Correlated Monte Carlo Importance Sampling :
%G eng
%U http://hdl.handle.net/21.11116/0000-0006-978D-1
%R 10.1111/cgf.13613
%7 2020
%D 2020
%J Computer Graphics Forum
%O Computer Graphics Forum : journal of the European Association for Computer Graphics Comput. Graph. Forum
%V 39
%N 1
%& 7
%P 7 - 19
%I Blackwell-Wiley
%C Oxford
%@ false
Stadlbauer, P., Mlakar, D., Seidel, H.-P., Steinberger, M., and Zayer, R. 2020. Interactive Modeling of Cellular Structures on Surfaces with Application to Additive Manufacturing. Computer Graphics Forum (Proc. EUROGRAPHICS 2020)39, 2.
Export
BibTeX
@article{Stadlbauer_EG2020,
TITLE = {Interactive Modeling of Cellular Structures on Surfaces with Application to Additive Manufacturing},
AUTHOR = {Stadlbauer, Pascal and Mlakar, Daniel and Seidel, Hans-Peter and Steinberger, Markus and Zayer, Rhaleb},
LANGUAGE = {eng},
ISSN = {0167-7055},
DOI = {10.1111/cgf.13929},
PUBLISHER = {Blackwell-Wiley},
ADDRESS = {Oxford},
YEAR = {2020},
DATE = {2020},
JOURNAL = {Computer Graphics Forum (Proc. EUROGRAPHICS)},
VOLUME = {39},
NUMBER = {2},
PAGES = {277--289},
BOOKTITLE = {The European Association for Computer Graphics 41st Annual Conference (EUROGRAPHICS 2020)},
EDITOR = {Panozzo, Daniele and Assarsson, Ulf},
}
Endnote
%0 Journal Article
%A Stadlbauer, Pascal
%A Mlakar, Daniel
%A Seidel, Hans-Peter
%A Steinberger, Markus
%A Zayer, Rhaleb
%+ Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
%T Interactive Modeling of Cellular Structures on Surfaces with Application to Additive Manufacturing :
%G eng
%U http://hdl.handle.net/21.11116/0000-0006-DB8A-8
%R 10.1111/cgf.13929
%7 2020
%D 2020
%J Computer Graphics Forum
%O Computer Graphics Forum : journal of the European Association for Computer Graphics Comput. Graph. Forum
%V 39
%N 2
%& 277
%P 277 - 289
%I Blackwell-Wiley
%C Oxford
%@ false
%B The European Association for Computer Graphics 41st Annual Conference
%O EUROGRAPHICS 2020 EG 2020 The European Association for Computer Graphics 41st Annual Conference ; Norrköping, Sweden, May 25 – 29, 2020
Sultan, A.S., Elgharib, M., Tavares, T., Jessri, M., and Basile, J.R. 2020. The Use of Artificial Intelligence, Machine Learning and Deep Learning in Oncologic Histopathology. Journal of Oral Pathology & Medicine.
Export
BibTeX
@article{Sultan2020,
TITLE = {The Use of Artificial Intelligence, Machine Learning and Deep Learning in Oncologic Histopathology},
AUTHOR = {Sultan, Ahmed S. and Elgharib, Mohamed and Tavares, Tiffany and Jessri, Maryam and Basile, John R.},
LANGUAGE = {eng},
ISSN = {0904-2512},
DOI = {10.1111/jop.13042},
PUBLISHER = {Wiley-Blackwell},
ADDRESS = {Oxford},
YEAR = {2020},
JOURNAL = {Journal of Oral Pathology \& Medicine},
}
Endnote
%0 Journal Article
%A Sultan, Ahmed S.
%A Elgharib, Mohamed
%A Tavares, Tiffany
%A Jessri, Maryam
%A Basile, John R.
%+ External Organizations
Computer Graphics, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
External Organizations
%T The Use of Artificial Intelligence, Machine Learning and Deep Learning in Oncologic Histopathology :
%G eng
%U http://hdl.handle.net/21.11116/0000-0006-A2C9-0
%R 10.1111/jop.13042
%7 2020
%D 2020
%J Journal of Oral Pathology & Medicine
%I Wiley-Blackwell
%C Oxford
%@ false
Tewari, A., Fried, O., Thies, J., et al. 2020. State of the Art on Neural Rendering. Computer Graphics Forum (Proc. EUROGRAPHICS 2020)39, 2.
Export
BibTeX
@article{Tewari_EG2020,
TITLE = {State of the Art on Neural Rendering},
AUTHOR = {Tewari, Ayush and Fried, O. and Thies, J. and Sitzmann, V. and Lombardi, S. and Sunkavalli, K. and Martin-Brualla, R. and Simon, T. and Saragih, J. and Nie{\ss}ner, M. and Pandey, R. and Fanello, S. and Wetzstein, G. and Zhu, J.-Y. and Theobalt, Christian and Agrawala, M. and Shechtman, E. and Goldman, D. B and Zollh{\"o}fer, Michael},
LANGUAGE = {eng},
ISSN = {0167-7055},
DOI = {10.1111/cgf.14022},
PUBLISHER = {Blackwell-Wiley},
ADDRESS = {Oxford},
YEAR = {2020},
DATE = {2020},
JOURNAL = {Computer Graphics Forum (Proc. EUROGRAPHICS)},
VOLUME = {39},
NUMBER = {2},
PAGES = {701--727},
BOOKTITLE = {The European Association for Computer Graphics 41st Annual Conference (EUROGRAPHICS 2020)},
EDITOR = {Panozzo, Daniele and Assarsson, Ulf},
}
Endnote
%0 Journal Article
%A Tewari, Ayush
%A Fried, O.
%A Thies, J.
%A Sitzmann, V.
%A Lombardi, S.
%A Sunkavalli, K.
%A Martin‐Brualla, R.
%A Simon, T.
%A Saragih, J.
%A Nießner, M.
%A Pandey, R.
%A Fanello, S.
%A Wetzstein, G.
%A Zhu, J.‐Y.
%A Theobalt, Christian
%A Agrawala, M.
%A Shechtman, E.
%A Goldman, D. B
%A Zollhöfer, Michael
%+ Computer Graphics, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
Computer Graphics, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
External Organizations
External Organizations
%T State of the Art on Neural Rendering :
%G eng
%U http://hdl.handle.net/21.11116/0000-0006-DB93-D
%R 10.1111/cgf.14022
%7 2020
%D 2020
%J Computer Graphics Forum
%O Computer Graphics Forum : journal of the European Association for Computer Graphics Comput. Graph. Forum
%V 39
%N 2
%& 701
%P 701 - 727
%I Blackwell-Wiley
%C Oxford
%@ false
%B The European Association for Computer Graphics 41st Annual Conference
%O EUROGRAPHICS 2020 EG 2020 The European Association for Computer Graphics 41st Annual Conference ; Norrköping, Sweden, May 25 – 29, 2020
Conference Paper
Bhatnagar, B.L., Sminchisescu, C., Theobalt, C., and Pons-Moll, G. Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction. Computer Vision -- ECCV 2020, Springer.
(Accepted/in press) Export
BibTeX
@inproceedings{bhatnagar2020ipnet,
TITLE = {Combining Implicit Function Learning and Parametric Models for {3D} Human Reconstruction},
AUTHOR = {Bhatnagar, Bharat Lal and Sminchisescu, Cristian and Theobalt, Christian and Pons-Moll, Gerard},
LANGUAGE = {eng},
PUBLISHER = {Springer},
YEAR = {2020},
PUBLREMARK = {Accepted},
BOOKTITLE = {Computer Vision -- ECCV 2020},
EDITOR = {Vedaldi, A. and Bischof, H. and Brox, Th. and Frahm, J.-M.},
SERIES = {Lecture Notes in Computer Science},
ADDRESS = {Glasgow, UK},
}
Endnote
%0 Conference Proceedings
%A Bhatnagar, Bharat Lal
%A Sminchisescu, Cristian
%A Theobalt, Christian
%A Pons-Moll, Gerard
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction :
%G eng
%U http://hdl.handle.net/21.11116/0000-0006-E89E-3
%D 2020
%B 16th European Conference on Computer Vision
%Z date of event: 2020-08-23 - 2020-08-28
%C Glasgow, UK
%B Computer Vision -- ECCV 2020
%E Vedaldi, A.; Bischof, H.; Brox, Th.; Frahm, J.-M.
%I Springer
%B Lecture Notes in Computer Science
Dunn, D., Tursun, O., Yu, H., Didyk, P., Myszkowski, K., and Fuchs, H. Stimulating the Human Visual System Beyond Real World Performance in Future Augmented Reality Displays. IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2020), IEEE.
(Accepted/in press) Export
BibTeX
@inproceedings{Dunn2020,
TITLE = {Stimulating the Human Visual System Beyond Real World Performance in Future Augmented Reality Displays},
AUTHOR = {Dunn, David and Tursun, Okan and Yu, Hyeonseung and Didyk, Piotr and Myszkowski, Karol and Fuchs, Henry},
LANGUAGE = {eng},
PUBLISHER = {IEEE},
YEAR = {2020},
PUBLREMARK = {Accepted},
BOOKTITLE = {IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2020)},
ADDRESS = {Porto de Galinhas, Brazil},
}
Endnote
%0 Conference Proceedings
%A Dunn, David
%A Tursun, Okan
%A Yu, Hyeonseung
%A Didyk, Piotr
%A Myszkowski, Karol
%A Fuchs, Henry
%+ External Organizations
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
External Organizations
%T Stimulating the Human Visual System Beyond Real World Performance in Future Augmented Reality Displays :
%G eng
%U http://hdl.handle.net/21.11116/0000-0006-FBDF-5
%D 2020
%B International Symposium on Mixed and Augmented Reality
%Z date of event: 2020-11-09 - 2020-11-13
%C Porto de Galinhas, Brazil
%B IEEE International Symposium on Mixed and Augmented Reality
%I IEEE
Habermann, M., Xu, W., Zollhöfer, M., Pons-Moll, G., and Theobalt, C. 2020. DeepCap: Monocular Human Performance Capture Using Weak Supervision. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), IEEE.
Export
BibTeX
@inproceedings{deepcap2020,
TITLE = {{DeepCap}: {M}onocular Human Performance Capture Using Weak Supervision},
AUTHOR = {Habermann, Marc and Xu, Weipeng and Zollh{\"o}fer, Michael and Pons-Moll, Gerard and Theobalt, Christian},
LANGUAGE = {eng},
ISBN = {978-1-7281-7168-5},
DOI = {10.1109/CVPR42600.2020.00510},
PUBLISHER = {IEEE},
YEAR = {2020},
BOOKTITLE = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020)},
PAGES = {5051--5062},
ADDRESS = {Virtual},
}
Endnote
%0 Conference Proceedings
%A Habermann, Marc
%A Xu, Weipeng
%A Zollhöfer, Michael
%A Pons-Moll, Gerard
%A Theobalt, Christian
%+ Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
%T DeepCap: Monocular Human Performance Capture Using Weak Supervision :
%G eng
%U http://hdl.handle.net/21.11116/0000-0006-A895-4
%R 10.1109/CVPR42600.2020.00510
%D 2020
%B 33rd IEEE Conference on Computer Vision and Pattern Recognition
%Z date of event: 2020-06-14 - 2020-06-19
%C Virtual
%B IEEE/CVF Conference on Computer Vision and Pattern Recognition
%P 5051 - 5062
%I IEEE
%@ 978-1-7281-7168-5
Huang, L., Gao, C., Zhou, Y., et al. 2020. Universal Physical Camouflage Attacks on Object Detectors. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), IEEE.
Export
BibTeX
@inproceedings{Huang_CVPR2020,
TITLE = {Universal Physical Camou{fl}age Attacks on Object Detectors},
AUTHOR = {Huang, Lifeng and Gao, Chengying and Zhou, Yuyin and Xie, Cihang and Yuille, Alan and Zou, Changqing and Liu, Ning},
LANGUAGE = {eng},
ISBN = {978-1-7281-7168-5},
DOI = {10.1109/CVPR42600.2020.00080},
PUBLISHER = {IEEE},
YEAR = {2020},
BOOKTITLE = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020)},
PAGES = {717--726},
ADDRESS = {Virtual},
}
Endnote
%0 Conference Proceedings
%A Huang, Lifeng
%A Gao, Chengying
%A Zhou, Yuyin
%A Xie, Cihang
%A Yuille, Alan
%A Zou, Changqing
%A Liu, Ning
%+ External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
Computer Graphics, MPI for Informatics, Max Planck Society
External Organizations
%T Universal Physical Camouflage Attacks on Object Detectors :
%G eng
%U http://hdl.handle.net/21.11116/0000-0006-09F0-1
%R 10.1109/CVPR42600.2020.00080
%D 2020
%B 33rd IEEE Conference on Computer Vision and Pattern Recognition
%Z date of event: 2020-06-14 - 2020-06-19
%C Virtual
%B IEEE/CVF Conference on Computer Vision and Pattern Recognition
%P 717 - 726
%I IEEE
%@ 978-1-7281-7168-5
Yu, T., Zheng, Z., Zhong, Y., et al. 2020. SimulCap : Single-View Human Performance Capture with Cloth Simulation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), IEEE.
Export
BibTeX
@inproceedings{SimulCap19,
TITLE = {{SimulCap} : {S}ingle-View Human Performance Capture with Cloth Simulation},
AUTHOR = {Yu, Tao and Zheng, Zerong and Zhong, Yuan and Zhao, Jianhui and Quionhai, Dai and Pons-Moll, Gerard and Liu, Yebin},
ISBN = {978-1-7281-3293-8},
DOI = {10.1109/CVPR.2019.00565},
PUBLISHER = {IEEE},
YEAR = {2019},
DATE = {2020},
BOOKTITLE = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019)},
PAGES = {5499--5509},
ADDRESS = {Long Beach, CA, USA},
}
Endnote
%0 Conference Proceedings
%A Yu, Tao
%A Zheng, Zerong
%A Zhong, Yuan
%A Zhao, Jianhui
%A Quionhai, Dai
%A Pons-Moll, Gerard
%A Liu, Yebin
%+ External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
%T SimulCap : Single-View Human Performance Capture with Cloth Simulation :
%U http://hdl.handle.net/21.11116/0000-0003-651E-B
%R 10.1109/CVPR.2019.00565
%D 2020
%B 32nd IEEE Conference on Computer Vision and Pattern Recognition
%Z date of event: 2019-06-16 - 2019-06-20
%C Long Beach, CA, USA
%B IEEE/CVF Conference on Computer Vision and Pattern Recognition
%P 5499 - 5509
%I IEEE
%@ 978-1-7281-3293-8
Zhou, Y., Habermann, M., Xu, W., Habibie, I., Theobalt, C., and Xu, F. 2020. Monocular Real-time Hand Shape and Motion Capture using Multi-modal Data. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), IEEE.
Export
BibTeX
@inproceedings{zhou2019monocular,
TITLE = {Monocular Real-time Hand Shape and Motion Capture using Multi-modal Data},
AUTHOR = {Zhou, Yuxiao and Habermann, Marc and Xu, Weipeng and Habibie, Ikhsanul and Theobalt, Christian and Xu, Feng},
LANGUAGE = {eng},
ISBN = {978-1-7281-7168-5},
DOI = {10.1109/CVPR42600.2020.00539},
PUBLISHER = {IEEE},
YEAR = {2020},
BOOKTITLE = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020)},
PAGES = {5345--5354},
ADDRESS = {Virtual},
}
Endnote
%0 Conference Proceedings
%A Zhou, Yuxiao
%A Habermann, Marc
%A Xu, Weipeng
%A Habibie, Ikhsanul
%A Theobalt, Christian
%A Xu, Feng
%+ External Organizations
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
%T Monocular Real-time Hand Shape and Motion Capture using Multi-modal Data :
%G eng
%U http://hdl.handle.net/21.11116/0000-0006-A89E-B
%R 10.1109/CVPR42600.2020.00539
%D 2020
%B 33rd IEEE Conference on Computer Vision and Pattern Recognition
%Z date of event: 2020-06-14 - 2020-06-19
%C Virtual
%B IEEE/CVF Conference on Computer Vision and Pattern Recognition
%P 5345 - 5354
%I IEEE
%@ 978-1-7281-7168-5
Report
Qian, N., Wang, J., Mueller, F., Bernard, F., Golyanik, V., and Theobalt, C. 2020. Parametric Hand Texture Model for 3D Hand Reconstruction and Personalization. Max-Planck-Institut für Informatik, Saarbrücken.
Abstract
3D hand reconstruction from image data is a widely-studied problem in com-
puter vision and graphics, and has a particularly high relevance for virtual
and augmented reality. Although several 3D hand reconstruction approaches
leverage hand models as a strong prior to resolve ambiguities and achieve a
more robust reconstruction, most existing models account only for the hand
shape and poses and do not model the texture. To fill this gap, in this work
we present the first parametric texture model of human hands. Our model
spans several dimensions of hand appearance variability (e.g., related to gen-
der, ethnicity, or age) and only requires a commodity camera for data acqui-
sition. Experimentally, we demonstrate that our appearance model can be
used to tackle a range of challenging problems such as 3D hand reconstruc-
tion from a single monocular image. Furthermore, our appearance model
can be used to define a neural rendering layer that enables training with a
self-supervised photometric loss. We make our model publicly available.
Export
BibTeX
@techreport{Qian_report2020,
TITLE = {Parametric Hand Texture Model for {3D} Hand Reconstruction and Personalization},
AUTHOR = {Qian, Neng and Wang, Jiayi and Mueller, Franziska and Bernard, Florian and Golyanik, Vladislav and Theobalt, Christian},
LANGUAGE = {eng},
ISSN = {0946-011X},
NUMBER = {MPI-I-2020-4-001},
INSTITUTION = {Max-Planck-Institut f{\"u}r Informatik},
ADDRESS = {Saarbr{\"u}cken},
YEAR = {2020},
ABSTRACT = {3D hand reconstruction from image data is a widely-studied problem in com- puter vision and graphics, and has a particularly high relevance for virtual and augmented reality. Although several 3D hand reconstruction approaches leverage hand models as a strong prior to resolve ambiguities and achieve a more robust reconstruction, most existing models account only for the hand shape and poses and do not model the texture. To {fi}ll this gap, in this work we present the {fi}rst parametric texture model of human hands. Our model spans several dimensions of hand appearance variability (e.g., related to gen- der, ethnicity, or age) and only requires a commodity camera for data acqui- sition. Experimentally, we demonstrate that our appearance model can be used to tackle a range of challenging problems such as 3D hand reconstruc- tion from a single monocular image. Furthermore, our appearance model can be used to de{fi}ne a neural rendering layer that enables training with a self-supervised photometric loss. We make our model publicly available.},
TYPE = {Research Report},
}
Endnote
%0 Report
%A Qian, Neng
%A Wang, Jiayi
%A Mueller, Franziska
%A Bernard, Florian
%A Golyanik, Vladislav
%A Theobalt, Christian
%+ Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
%T Parametric Hand Texture Model for 3D Hand Reconstruction and
Personalization :
%G eng
%U http://hdl.handle.net/21.11116/0000-0006-9128-9
%Y Max-Planck-Institut für Informatik
%C Saarbrücken
%D 2020
%P 37 p.
%X 3D hand reconstruction from image data is a widely-studied problem in com-
puter vision and graphics, and has a particularly high relevance for virtual
and augmented reality. Although several 3D hand reconstruction approaches
leverage hand models as a strong prior to resolve ambiguities and achieve a
more robust reconstruction, most existing models account only for the hand
shape and poses and do not model the texture. To fill this gap, in this work
we present the first parametric texture model of human hands. Our model
spans several dimensions of hand appearance variability (e.g., related to gen-
der, ethnicity, or age) and only requires a commodity camera for data acqui-
sition. Experimentally, we demonstrate that our appearance model can be
used to tackle a range of challenging problems such as 3D hand reconstruc-
tion from a single monocular image. Furthermore, our appearance model
can be used to define a neural rendering layer that enables training with a
self-supervised photometric loss. We make our model publicly available.
%K hand texture model, appearance modeling, hand tracking, 3D hand recon-
struction
%B Research Report
%@ false