Zorah Lähner

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 42

Top Topics

Globally Optimal

Simulated Annealing

Deformable Shapes

Top Venues

3DOR@Eurographics

Publications

Dongliang Cao, Zorah Lähner, Florian Bernard
Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching. CoRR (2024)
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 (2024)
Sharik Siddiqi, Zorah Lähner
A Network Analysis for Correspondence Learning via Linearly-Embedded Functions. DAGM (2023)
Maolin Gao, Paul Roetzer, Marvin Eisenberger, Zorah Lähner, Michael Möller, Daniel Cremers, Florian Bernard
ΣIGMA: Scale-Invariant Global Sparse Shape Matching. ICCV (2023)
Paul Roetzer, Zorah Lähner, Florian Bernard
Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching. CVPR (2023)
Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell, Felix Heide, Michael Möller
Kissing to Find a Match: Efficient Low-Rank Permutation Representation. CoRR (2023)
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)
Maolin Gao, Paul Roetzer, Marvin Eisenberger, Zorah Lähner, Michael Möller, Daniel Cremers, Florian Bernard
SIGMA: Scale-Invariant Global Sparse Shape Matching. CoRR (2023)
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)
Lennart Bastian, Yizheng Xie, Nassir Navab, Zorah Lähner
Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching. CoRR (2023)
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 (2023)
Marcel Seelbach Benkner, Maximilian Krahn, Edith Tretschk, Zorah Lähner, Michael Moeller, Vladislav Golyanik
QuAnt: Quantum Annealing with Learnt Couplings. ICLR (2023)
Zorah Lähner, Michael Moeller
On the Direct Alignment of Latent Spaces. UniReps (2023)
Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lähner, Adam Czaplinski, Michael Möller
A Simple Strategy to Provable Invariance via Orbit Mapping. ACCV (5) (2022)
Paul Roetzer, Zorah Lähner, Florian Bernard
Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching. CoRR (2022)
Marcel Seelbach Benkner, Maximilian Krahn, Edith Tretschk, Zorah Lähner, Michael Moeller, Vladislav Golyanik
QuAnt: Quantum Annealing with Learnt Couplings. CoRR (2022)
Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lähner, Adam Czaplinski, Michael Möller
A Simple Strategy to Provable Invariance via Orbit Mapping. CoRR (2022)
Lukas Koestler, Daniel Grittner, Michael Möller, Daniel Cremers, Zorah Lähner
Intrinsic Neural Fields: Learning Functions on Manifolds. CoRR (2022)
Lukas Koestler, Daniel Grittner, Michael Möller, Daniel Cremers, Zorah Lähner
Intrinsic Neural Fields: Learning Functions on Manifolds. ECCV (2) (2022)
Marcel Seelbach Benkner, Zorah Lähner, Vladislav Golyanik, Christof Wunderlich, Christian Theobalt, Michael Möller
Q-Match: Iterative Shape Matching via Quantum Annealing. CoRR (2021)
Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lähner, Adam Czaplinski, Michael Möller
Training or Architecture? How to Incorporate Invariance in Neural Networks. CoRR (2021)
Marcel Seelbach Benkner, Zorah Lähner, Vladislav Golyanik, Christof Wunderlich, Christian Theobalt, Michael Moeller
Q-Match: Iterative Shape Matching via Quantum Annealing. ICCV (2021)
Maolin Gao, Zorah Lähner, Johan Thunberg, Daniel Cremers, Florian Bernard
Isometric Multi-Shape Matching. CVPR (2021)
Marvin Eisenberger, Zorah Lähner, Daniel Cremers
Smooth Shells: Multi-Scale Shape Registration With Functional Maps. CVPR (2020)
Benjamin Holzschuh, Zorah Lähner, Daniel Cremers
Simulated Annealing for 3D Shape Correspondence. 3DV (2020)
Mehmet Aygün, Zorah Lähner, Daniel Cremers
Unsupervised Dense Shape Correspondence using Heat Kernels. 3DV (2020)
Maolin Gao, Zorah Lähner, Johan Thunberg, Daniel Cremers, Florian Bernard
Isometric Multi-Shape Matching. CoRR (2020)
Mehmet Aygün, Zorah Lähner, Daniel Cremers
Unsupervised Dense Shape Correspondence using Heat Kernels. CoRR (2020)
Marvin Eisenberger, Zorah Lähner, Daniel Cremers
Smooth Shells: Multi-Scale Shape Registration with Functional Maps. CoRR (2019)
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)
Marvin Eisenberger, Zorah Lähner, Daniel Cremers
Divergence-Free Shape Correspondence by Deformation. Comput. Graph. Forum 38 (5) (2019)
Emanuele Rodolà, Zorah Lähner, Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon
Functional Maps Representation On Product Manifolds. Comput. Graph. Forum 38 (1) (2019)
Zorah Lähner, Daniel Cremers, Tony Tung
DeepWrinkles: Accurate and Realistic Clothing Modeling. ECCV (4) (2018)
Zorah Lähner, Daniel Cremers, Tony Tung
DeepWrinkles: Accurate and Realistic Clothing Modeling. CoRR (2018)
Emanuele Rodolà, Zorah Lähner, Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon
Functional Maps Representation on Product Manifolds. CoRR (2018)
Marvin Eisenberger, Zorah Lähner, Daniel Cremers
Divergence-Free Shape Interpolation and Correspondence. CoRR (2018)
Emanuele Rodolà, Zorah Lähner, Alex M. Bronstein, Michael M. Bronstein, Justin Solomon
Functional Maps on Product Manifolds. SGP (Posters) (2018)
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 (2017)
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)
Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. CVPR (2016)
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)
Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. CoRR (2016)