Zorah Lähner

62 papers A* 12Journal 30Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Towards Improved Sentence Representations using Token Graphs.
CoRR
Krishna Sri Ipsit Mantri, Carola-Bibiane Schönlieb, Zorah Lähner, Moshe Eliasof
2025 — conf
3D Shape Analysis: From Classical Optimisation Methods to Feature Learning for Shape Matching.
Eurographics (Tutorials)
Nafie El Amrani, Lennart Bastian, Viktoria Ehm, Zorah Lähner, Florian Bernard
2025 — conf
Approximate 2D-3D Shape Matching for Interactive Applications.
3DV
Christoph Petzsch, Paul Roetzer, Zorah Lähner, Florian Bernard
2025 J jnl
Beyond Complete Shapes: A Benchmark for Quantitative Evaluation of 3D Shape Surface Matching Algorithms.
Comput. Graph. Forum
Viktoria Ehm, Nafie El Amrani, Yizheng Xie, Lennart Bastian, M. Gao, W. Wang, Lu Sang, Dongliang Cao, Tobias Weißberg, Zorah Lähner, Daniel Cremers, Florian Bernard
2025 A* conf
Denoising Functional Maps: Diffusion Models for Shape Correspondence.
CVPR
Aleksei Zhuravlev, Zorah Lähner, Vladislav Golyanik
2025 J jnl
Denoising Functional Maps: Diffusion Models for Shape Correspondence.
CoRR
Aleksei Zhuravlev, Zorah Lähner, Vladislav Golyanik
2025 A* conf
Higher-Order Ratio Cycles for Fast and Globally Optimal Shape Matching.
CVPR
Paul Roetzer, Viktoria Ehm, Daniel Cremers, Zorah Lähner, Florian Bernard
2025 J jnl
Laplace-Beltrami Operator for Gaussian Splatting.
CoRR
Hongyu Zhou, Zorah Lähner
2025 J jnl
MoAngelo: Motion-Aware Neural Surface Reconstruction for Dynamic Scenes.
CoRR
Mohamed Ebbed, Zorah Lähner
2025 — ed.
Pattern Recognition - 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10-13, 2024, Proceedings, Part I
GCPR (1)
Daniel Cremers, Zorah Lähner, Michael Moeller, Matthias Nießner, Björn Ommer, Rudolph Triebel
2025 — ed.
Pattern Recognition - 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10-13, 2024, Proceedings, Part II
GCPR (2)
Daniel Cremers, Zorah Lähner, Michael Moeller, Matthias Nießner, Björn Ommer, Rudolph Triebel
2025 — conf
Preface of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models.
UniReps
Clémentine C. J. Dominé, Marco Fumero, Zorah Lähner, Donato Crisostomi, Luca Moschella, Kimberly Stachenfeld
2025 — ed.
Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, Vancouver, Canada, 14 December 2024.
UniReps
Marco Fumero, Clémentine C. J. Dominé, Zorah Lähner, Donato Crisostomi, Luca Moschella, Kimberly Stachenfeld
2024 — conf
3D Shape Completion with Test-Time Training.
GRaM
Michael Schopf-Kuester, Zorah Lähner, Michael Moeller
2024 J jnl
3D Shape Completion with Test-Time Training.
CoRR
Michael Schopf-Kuester, Zorah Lähner, Michael Möller
2024 J jnl
Beyond Complete Shapes: A Quantitative Evaluation of 3D Shape Matching Algorithms.
CoRR
Viktoria Ehm, Nafie El Amrani, Yizheng Xie, Lennart Bastian, Maolin Gao, Weikang Wang, Lu Sang, Dongliang Cao, Zorah Lähner, Daniel Cremers, Florian Bernard
2024 A* conf
Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching.
CVPR
Lennart Bastian, Yizheng Xie, Nassir Navab, Zorah Lähner
2024 J jnl
Implicit-ARAP: Efficient Handle-Guided Deformation of High-Resolution Meshes and Neural Fields via Local Patch Meshing.
CoRR
Daniele Baieri, Filippo Maggioli, Zorah Lähner, Simone Melzi, Emanuele Rodolà
2024 J jnl
SShaDe: scalable shape deformation via local representations.
CoRR
Filippo Maggioli, Daniele Baieri, Zorah Lähner, Simone Melzi
2024 J jnl
Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching.
CoRR
Dongliang Cao, Zorah Lähner, Florian Bernard
2024 — conf
Synchronous Diffusion for Unsupervised Smooth Non-rigid 3D Shape Matching.
ECCV (5)
Dongliang Cao, Zorah Lähner, Florian Bernard
2023 — conf
A Network Analysis for Correspondence Learning via Linearly-Embedded Functions.
DAGM
Sharik Siddiqi, Zorah Lähner
2023 A* conf
CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes.
CVPR
Harshil Bhatia, Edith Tretschk, Zorah Lähner, Marcel Seelbach Benkner, Michael Moeller, Christian Theobalt, Vladislav Golyanik
2023 J jnl
CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes.
CoRR
Harshil Bhatia, Edith Tretschk, Zorah Lähner, Marcel Seelbach Benkner, Michael Moeller, Christian Theobalt, Vladislav Golyanik
2023 A* conf
Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching.
CVPR
Paul Roetzer, Zorah Lähner, Florian Bernard
2023 J jnl
Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching.
CoRR
Lennart Bastian, Yizheng Xie, Nassir Navab, Zorah Lähner
2023 A* conf
Kissing to Find a Match: Efficient Low-Rank Permutation Representation.
NeurIPS
Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell Nadal, Felix Heide, Michael Moeller
2023 J jnl
Kissing to Find a Match: Efficient Low-Rank Permutation Representation.
CoRR
Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell, Felix Heide, Michael Möller
2023 — conf
On the Direct Alignment of Latent Spaces.
UniReps
Zorah Lähner, Michael Moeller
2023 A* conf
QuAnt: Quantum Annealing with Learnt Couplings.
ICLR
Marcel Seelbach Benkner, Maximilian Krahn, Edith Tretschk, Zorah Lähner, Michael Moeller, Vladislav Golyanik
2023 J jnl
SIGMA: Scale-Invariant Global Sparse Shape Matching.
CoRR
Maolin Gao, Paul Roetzer, Marvin Eisenberger, Zorah Lähner, Michael Möller, Daniel Cremers, Florian Bernard
2023 A* conf
ΣIGMA: Scale-Invariant Global Sparse Shape Matching.
ICCV
Maolin Gao, Paul Roetzer, Marvin Eisenberger, Zorah Lähner, Michael Möller, Daniel Cremers, Florian Bernard
2022 — conf
A Simple Strategy to Provable Invariance via Orbit Mapping.
ACCV (5)
Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lähner, Adam Czaplinski, Michael Möller
2022 J jnl
A Simple Strategy to Provable Invariance via Orbit Mapping.
CoRR
Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lähner, Adam Czaplinski, Michael Möller
2022 J jnl
Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching.
CoRR
Paul Roetzer, Zorah Lähner, Florian Bernard
2022 — conf
Intrinsic Neural Fields: Learning Functions on Manifolds.
ECCV (2)
Lukas Koestler, Daniel Grittner, Michael Möller, Daniel Cremers, Zorah Lähner
2022 J jnl
Intrinsic Neural Fields: Learning Functions on Manifolds.
CoRR
Lukas Koestler, Daniel Grittner, Michael Möller, Daniel Cremers, Zorah Lähner
2022 J jnl
QuAnt: Quantum Annealing with Learnt Couplings.
CoRR
Marcel Seelbach Benkner, Maximilian Krahn, Edith Tretschk, Zorah Lähner, Michael Moeller, Vladislav Golyanik
2021 — —
Continuous Correspondence of Non-Rigid 3D Shapes.
Zorah Lähner
2021 A* conf
Isometric Multi-Shape Matching.
CVPR
Maolin Gao, Zorah Lähner, Johan Thunberg, Daniel Cremers, Florian Bernard
2021 A* conf
Q-Match: Iterative Shape Matching via Quantum Annealing.
ICCV
Marcel Seelbach Benkner, Zorah Lähner, Vladislav Golyanik, Christof Wunderlich, Christian Theobalt, Michael Moeller
2021 J jnl
Q-Match: Iterative Shape Matching via Quantum Annealing.
CoRR
Marcel Seelbach Benkner, Zorah Lähner, Vladislav Golyanik, Christof Wunderlich, Christian Theobalt, Michael Möller
2021 J jnl
Training or Architecture? How to Incorporate Invariance in Neural Networks.
CoRR
Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lähner, Adam Czaplinski, Michael Möller
2020 J jnl
Isometric Multi-Shape Matching.
CoRR
Maolin Gao, Zorah Lähner, Johan Thunberg, Daniel Cremers, Florian Bernard
2020 — conf
Simulated Annealing for 3D Shape Correspondence.
3DV
Benjamin Holzschuh, Zorah Lähner, Daniel Cremers
2020 A* conf
Smooth Shells: Multi-Scale Shape Registration With Functional Maps.
CVPR
Marvin Eisenberger, Zorah Lähner, Daniel Cremers
2020 — conf
Unsupervised Dense Shape Correspondence using Heat Kernels.
3DV
Mehmet Aygün, Zorah Lähner, Daniel Cremers
2020 J jnl
Unsupervised Dense Shape Correspondence using Heat Kernels.
CoRR
Mehmet Aygün, Zorah Lähner, Daniel Cremers
2019 J jnl
Divergence-Free Shape Correspondence by Deformation.
Comput. Graph. Forum
Marvin Eisenberger, Zorah Lähner, Daniel Cremers
2019 J jnl
Functional Maps Representation On Product Manifolds.
Comput. Graph. Forum
Emanuele Rodolà, Zorah Lähner, Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon
2019 — conf
Shape Correspondence with Isometric and Non-Isometric Deformations.
3DOR@Eurographics
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
2019 J jnl
Smooth Shells: Multi-Scale Shape Registration with Functional Maps.
CoRR
Marvin Eisenberger, Zorah Lähner, Daniel Cremers
2018 — conf
DeepWrinkles: Accurate and Realistic Clothing Modeling.
ECCV (4)
Zorah Lähner, Daniel Cremers, Tony Tung
2018 J jnl
DeepWrinkles: Accurate and Realistic Clothing Modeling.
CoRR
Zorah Lähner, Daniel Cremers, Tony Tung
2018 J jnl
Divergence-Free Shape Interpolation and Correspondence.
CoRR
Marvin Eisenberger, Zorah Lähner, Daniel Cremers
2018 J jnl
Functional Maps Representation on Product Manifolds.
CoRR
Emanuele Rodolà, Zorah Lähner, Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon
2018 — conf
Functional Maps on Product Manifolds.
SGP (Posters)
Emanuele Rodolà, Zorah Lähner, Alex M. Bronstein, Michael M. Bronstein, Justin Solomon
2017 — conf
Efficient Deformable Shape Correspondence via Kernel Matching.
3DV
Matthias Vestner, Zorah Lähner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers
2017 J jnl
Efficient Deformable Shape Correspondence via Kernel Matching.
CoRR
Zorah Lähner, Matthias Vestner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers
2016 A* conf
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching.
CVPR
Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers
2016 J jnl
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching.
CoRR
Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers
2016 — conf
Matching of Deformable Shapes with Topological Noise.
3DOR@Eurographics
Zorah Lähner, Emanuele Rodolà, Michael M. Bronstein, Daniel Cremers, Oliver Burghard, Luca Cosmo, Alexander Dieckmann, Reinhard Klein, Yusuf Sahillioglu