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ORCIDZorah Lähner
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- affiliation: University of Bonn, Germany
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Books and Theses
- 2021
[b1]Zorah Lähner:
Continuous Correspondence of Non-Rigid 3D Shapes. Technical University of Munich, Germany, 2021
Journal Articles
- 2019
- [j2]Emanuele Rodolà
, Zorah Lähner, Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon:
Functional Maps Representation On Product Manifolds. Comput. Graph. Forum 38(1): 678-689 (2019) - [j1]Marvin Eisenberger, Zorah Lähner, Daniel Cremers:
Divergence-Free Shape Correspondence by Deformation. Comput. Graph. Forum 38(5): 1-12 (2019)
Conference and Workshop Papers
- 2024
- [c22]Lennart Bastian, Yizheng Xie, Nassir Navab, Zorah Lähner:
Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching. CVPR 2024: 3313-3323 - [c21]Dongliang Cao, Zorah Lähner, Florian Bernard:
Synchronous Diffusion for Unsupervised Smooth Non-rigid 3D Shape Matching. ECCV (5) 2024: 262-281 - 2023
- [c20]Harshil Bhatia, Edith Tretschk, Zorah Lähner, Marcel Seelbach Benkner, Michael Moeller, Christian Theobalt, Vladislav Golyanik:
CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes. CVPR 2023: 1296-1305 - [c19]Paul Roetzer, Zorah Lähner, Florian Bernard:
Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching. CVPR 2023: 21866-21875 - [c18]Sharik Siddiqi, Zorah Lähner:
A Network Analysis for Correspondence Learning via Linearly-Embedded Functions. DAGM 2023: 100-114 - [c17]Maolin Gao, Paul Roetzer, Marvin Eisenberger, Zorah Lähner, Michael Möller, Daniel Cremers, Florian Bernard:
ΣIGMA: Scale-Invariant Global Sparse Shape Matching. ICCV 2023: 645-654 - [c16]Marcel Seelbach Benkner, Maximilian Krahn, Edith Tretschk, Zorah Lähner, Michael Moeller, Vladislav Golyanik:
QuAnt: Quantum Annealing with Learnt Couplings. ICLR 2023 - [c15]Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell Nadal, Felix Heide, Michael Moeller:
Kissing to Find a Match: Efficient Low-Rank Permutation Representation. NeurIPS 2023 - [c14]Zorah Lähner, Michael Moeller:
On the Direct Alignment of Latent Spaces. UniReps 2023: 158-169 - 2022
- [c13]Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lähner, Adam Czaplinski, Michael Möller:
A Simple Strategy to Provable Invariance via Orbit Mapping. ACCV (5) 2022: 387-405 - [c12]Lukas Koestler, Daniel Grittner, Michael Möller, Daniel Cremers, Zorah Lähner:
Intrinsic Neural Fields: Learning Functions on Manifolds. ECCV (2) 2022: 622-639 - 2021
- [c11]Maolin Gao, Zorah Lähner, Johan Thunberg, Daniel Cremers, Florian Bernard:
Isometric Multi-Shape Matching. CVPR 2021: 14183-14193 - [c10]Marcel Seelbach Benkner, Zorah Lähner, Vladislav Golyanik, Christof Wunderlich, Christian Theobalt, Michael Moeller:
Q-Match: Iterative Shape Matching via Quantum Annealing. ICCV 2021: 7566-7576 - 2020
- [c9]Benjamin Holzschuh, Zorah Lähner, Daniel Cremers:
Simulated Annealing for 3D Shape Correspondence. 3DV 2020: 252-260 - [c8]Mehmet Aygün, Zorah Lähner, Daniel Cremers:
Unsupervised Dense Shape Correspondence using Heat Kernels. 3DV 2020: 573-582 - [c7]Marvin Eisenberger, Zorah Lähner, Daniel Cremers:
Smooth Shells: Multi-Scale Shape Registration With Functional Maps. CVPR 2020: 12262-12271 - 2019
- [c6]Roberto M. Dyke, C. Stride, Yu-Kun Lai, Paul L. Rosin, Mathieu Aubry, Amit Boyarski, Alexander M. Bronstein, Michael M. Bronstein, Daniel Cremers, Matthew Fisher, Thibault Groueix, Daoliang Guo, Vladimir G. Kim, Ron Kimmel, Zorah Lähner, Kun Li, Or Litany, Tal Remez, Emanuele Rodolà, Bryan C. Russell, Yusuf Sahillioglu, Ron Slossberg, Gary K. L. Tam, Matthias Vestner, Z. Wu, Jingyu Yang:
Shape Correspondence with Isometric and Non-Isometric Deformations. 3DOR@Eurographics 2019: 111-119 - 2018
- [c5]Zorah Lähner, Daniel Cremers, Tony Tung:
DeepWrinkles: Accurate and Realistic Clothing Modeling. ECCV (4) 2018: 698-715 - [c4]Emanuele Rodolà, Zorah Lähner, Alex M. Bronstein, Michael M. Bronstein, Justin Solomon:
Functional Maps on Product Manifolds. SGP (Posters) 2018: 9-10 - 2017
- [c3]Matthias Vestner, Zorah Lähner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers:
Efficient Deformable Shape Correspondence via Kernel Matching. 3DV 2017: 517-526 - 2016
- [c2]Zorah Lähner, Emanuele Rodolà, Michael M. Bronstein, Daniel Cremers, Oliver Burghard, Luca Cosmo, Alexander Dieckmann, Reinhard Klein, Yusuf Sahillioglu:
Matching of Deformable Shapes with Topological Noise. 3DOR@Eurographics 2016 - [c1]Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers:
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. CVPR 2016: 2185-2193
Informal and Other Publications
- 2024
- [i20]Daniele Baieri, Filippo Maggioli, Zorah Lähner, Simone Melzi, Emanuele Rodolà:
Implicit-ARAP: Efficient Handle-Guided Deformation of High-Resolution Meshes and Neural Fields via Local Patch Meshing. CoRR abs/2405.12895 (2024) - [i19]Dongliang Cao, Zorah Lähner, Florian Bernard:
Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching. CoRR abs/2407.08244 (2024) - 2023
- [i18]Harshil Bhatia, Edith Tretschk, Zorah Lähner, Marcel Seelbach Benkner, Michael Moeller, Christian Theobalt, Vladislav Golyanik:
CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes. CoRR abs/2303.16202 (2023) - [i17]Maolin Gao, Paul Roetzer, Marvin Eisenberger, Zorah Lähner, Michael Möller, Daniel Cremers, Florian Bernard:
SIGMA: Scale-Invariant Global Sparse Shape Matching. CoRR abs/2308.08393 (2023) - [i16]Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell, Felix Heide, Michael Möller:
Kissing to Find a Match: Efficient Low-Rank Permutation Representation. CoRR abs/2308.13252 (2023) - [i15]Lennart Bastian, Yizheng Xie, Nassir Navab, Zorah Lähner:
Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching. CoRR abs/2312.03678 (2023) - 2022
- [i14]Lukas Koestler, Daniel Grittner, Michael Möller, Daniel Cremers, Zorah Lähner:
Intrinsic Neural Fields: Learning Functions on Manifolds. CoRR abs/2203.07967 (2022) - [i13]Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lähner, Adam Czaplinski, Michael Möller:
A Simple Strategy to Provable Invariance via Orbit Mapping. CoRR abs/2209.11916 (2022) - [i12]Marcel Seelbach Benkner, Maximilian Krahn, Edith Tretschk, Zorah Lähner, Michael Moeller, Vladislav Golyanik:
QuAnt: Quantum Annealing with Learnt Couplings. CoRR abs/2210.08114 (2022) - [i11]Paul Roetzer, Zorah Lähner, Florian Bernard:
Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching. CoRR abs/2211.11589 (2022) - 2021
- [i10]Marcel Seelbach Benkner, Zorah Lähner, Vladislav Golyanik, Christof Wunderlich, Christian Theobalt, Michael Möller:
Q-Match: Iterative Shape Matching via Quantum Annealing. CoRR abs/2105.02878 (2021) - [i9]Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lähner, Adam Czaplinski, Michael Möller:
Training or Architecture? How to Incorporate Invariance in Neural Networks. CoRR abs/2106.10044 (2021) - 2020
- [i8]Mehmet Aygün, Zorah Lähner, Daniel Cremers:
Unsupervised Dense Shape Correspondence using Heat Kernels. CoRR abs/2010.12682 (2020) - [i7]Maolin Gao, Zorah Lähner, Johan Thunberg, Daniel Cremers, Florian Bernard:
Isometric Multi-Shape Matching. CoRR abs/2012.02689 (2020) - 2019
- [i6]Marvin Eisenberger, Zorah Lähner, Daniel Cremers:
Smooth Shells: Multi-Scale Shape Registration with Functional Maps. CoRR abs/1905.12512 (2019) - 2018
- [i5]Marvin Eisenberger, Zorah Lähner, Daniel Cremers:
Divergence-Free Shape Interpolation and Correspondence. CoRR abs/1806.10417 (2018) - [i4]Zorah Lähner, Daniel Cremers, Tony Tung:
DeepWrinkles: Accurate and Realistic Clothing Modeling. CoRR abs/1808.03417 (2018) - [i3]Emanuele Rodolà, Zorah Lähner, Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon:
Functional Maps Representation on Product Manifolds. CoRR abs/1809.10940 (2018) - 2017
- [i2]Zorah Lähner, Matthias Vestner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers:
Efficient Deformable Shape Correspondence via Kernel Matching. CoRR abs/1707.08991 (2017) - 2016
- [i1]Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers:
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. CoRR abs/1601.06070 (2016)
Coauthor Index
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