Laplace-Beltrami Operator for Gaussian Splatting
Hongyu Zhou, Zorah Lähner
Published in arxiv:2502.17531, 2025
[arxiv]
[bibtex]
Publications
2025 2024 2023 2022 2021 2020 2019 2018 2017 2016
Preprints
Beyond Complete Shapes: A Quantitative Evaluation of 3D Shape Matching Algorithms
Viktoria Ehm, Nafie El Amrani, Yizheng Xie, Lennart Bastian, Maolin Gao, Weikang Wang, Lu Sang, Dongliang Cao, Zorah Lähner, Daniel Cremers, Florian Bernard
Published in arXiv:2411.03511, 2024
[arxiv]
[bibtex]
SShaDe: a Framework for Scalable Shape Deformation via Local Representations
Filippo Maggioli, Daniele Baieri, Zorah Lähner, Simone Melzi
Published in arXiv:2409.17961, 2024
[arxiv]
[bibtex]
Implicit-ARAP: Efficient Handle-Guided Deformation of High-Resolution Meshes and Neural Fields via Local Patch Meshing
Daniele Baieri, Filippo Maggioli, Zorah Lähner, Simone Melzi, Emanuele Rodolà
Published in arXiv:2405.12895, 2024
[arxiv]
[bibtex]
2025
Higher-Order Ratio Cycles for Fast and Globally Optimal Shape Matching
Paul Roetzer, Viktoria Ehm, Daniel Cremers, Zorah Lähner, Florian Bernard
Published in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025
[bibtex]
Denoising Functional Maps: Diffusion Models for Shape Correspondence
Aleksei Zhuravlev, Zorah Lähner, Vladislav Golyanik
Published in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025
[arxiv]
[github]
[bibtex]
Approximate 2D-3D Shape Matching for Interactive Applications
Christoph Petzsch, Paul Roetzer, Zorah Lähner, Florian Bernard
Published in International Conference on 3D Vision (3DV), 2025
[bibtex]
2024
Synchronous Diffusion for Unsupervised 3D Shape Matching
Dongliang Cao, Zorah Lähner, Florian Bernard
Published in European Conference on Computer Vision (ECCV), 2024
[arxiv]
[bibtex]
3D Shape Completion with Test-Time Training
Michael Schopf-Kuester, Zorah Lähner, Michael Moeller
Published in ICML Workshop on Geometry-Grounded Representation Learning and Generative Modeling (GRaM), 2024
[arxiv]
[bibtex]
Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching
Lennart Bastian, Yizheng Xie, Nassir Navab, Zorah Lähner
Published in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[arxiv]
[github]
[bibtex]
2023
On the Direct Alignment of Latent Spaces
Zorah Lähner, Michael Moeller
Published in NeuRIPS Workshop on Unifying Representations in Neural Models (UniReps), 2023
[pdf]
[bibtex]
Kissing to Find a Match: Efficient Low-Rank Permutation Representation
Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell, Felix Heide, Michael Moeller
Published in Neural Information Processing Systems (NeuRIPS), 2023
[pdf]
[arxiv]
[github]
[bibtex]
SIGMA: Scale-Invariant Global Sparse Shape Matching
Maolin Gao, Paul Roetzer, Marvin Eisenberger, Zorah Lähner, Michael Moeller, Daniel Cremers, Florian Bernard
Published in International Conference on Computer Vision (ICCV), 2023
[pdf]
[arxiv]
[github]
[bibtex]
A Network Analysis for Correspondence Learning via Linearly-Embedded Functions
Sharik Siddiqi, Zorah Lähner
Published in German Conference on Pattern Recognition (GCPR), 2023
[pdf]
[bibtex]
Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching
Paul Roetzer, Zorah Lähner, Florian Bernard
Published in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[pdf]
[arxiv]
[github]
[bibtex]
CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes
Harshil Bhatia, Edith Tretschk, Zorah Lähner, Marcel Seelbach Benkner, Michael Moeller, Christian Theobalt, Vladislav Golyanik
Published in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[pdf]
[arxiv]
[github]
[bibtex]
QuAnt: Quantum Annealing with Learnt Couplings
Marcel Seelbach Benkner, Maximilian Krahn, Edith Tretschk, Zorah Lähner, Michael Moeller, Vladislav Golyanik
Published in International Conference on Learning Representations (ICLR), 2023
[pdf]
[arxiv]
[github]
[bibtex]
2022
A Simple Strategy to Make Neural Networks Provably Invariant
Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lähner, Adam Czapliński, Michael Moeller
Published in Asian Conference on Computer Vision (ACCV), 2022
[pdf]
[arxiv]
[bibtex]
Intrinsic Neural Fields: Learning Functions on Manifolds
Lukas Koestler, Daniel Grittner, Michael Moeller, Daniel Cremers, Zorah Lähner
Published in European Conference on Computer Vision (ECCV), 2022
[pdf]
[arxiv]
[github]
[bibtex]
Light-Weight Learning-Based Depth Estimation From A Single Image
Zekarias Negese, Hartmut Bauermeister, Michael Moeller, Emanuele Rodolà, Zorah Lähner
Published in ATHENA Research Book, 2022
[pdf]
[bibtex]
2021
Continuous Correspondence of Non-Rigid 3D Shapes
Zorah Lähner
Published in TUM University Press, 2021
[pdf]
[bibtex]
Systems and Methods for Generating Accurate and Realistic Clothing Models with Wrinkles
Tony Tung, Zorah Lähner
Published in US Patent 11158121, 2021
[pdf]
[bibtex]
Q-Match: Iterative Shape Matching via Quantum Annealing
Marcel Seelbach Benkner, Zorah Lähner, Vladislav Golyanik, Christof Wunderlich, Christian Theobalt, Michael Moeller
Published in International Conference on Computer Vision (ICCV), 2021
[pdf]
[arxiv]
[github]
[bibtex]
2020
Unsupervised Dense Shape Correspondence using Heat Kernels
Mehmet Aygün, Zorah Lähner, Daniel Cremers
Published in Conference on 3D Vision (3DV), 2020
[pdf]
[arxiv]
[bibtex]
Simulated Annealing for 3D Shape Correspondence
Benjamin Holzschuh, Zorah Lähner, Daniel Cremers
Published in Conference on 3D Vision (3DV), 2020
[pdf]
[video]
[bibtex]
Smooth Shells: Multi-Scale Shape Registration with Functional Maps
Marvin Eisenberger, Zorah Lähner, Daniel Cremers
Published in Conference on Computer Vision and Pattern Recognition (CVPR), 2020
[pdf]
[arxiv]
[github]
[bibtex]
2019
Functional Maps Representation on Product Manifolds
Emanuele Rodolà, Zorah Lähner, Alex M. Bronstein, Michael M. Bronstein, Justin Solomon
Published in Computer Graphics Forum (CGF), 2019
[pdf]
[arxiv]
[bibtex]
Divergence-Free Shape Correspondence by Deformation
Marvin Eisenberger, Zorah Lähner, Daniel Cremers
Published in Symposium on Geometry Processing (SGP), 2019
[pdf]
[arxiv]
[bibtex]
2018
DeepWrinkles: Accurate and Realistic Clothing Modeling
Zorah Lähner, Daniel Cremers, Tony Tung
Published in European Conference on Computer Vision (ECCV), 2018
[pdf]
[arxiv]
[video]
[bibtex]
2017
Efficient Deformable Shape Correspondence via Kernel Matching
Matthias Vestner, Zorah Lähner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alex M. Bronstein, Michael M. Bronsteins, Ron Kimmel, Daniel Cremers
Published in International Conference on 3D Vision (3DV), 2017
[pdf]
[arxiv]
[github]
[bibtex]
2016
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching
Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers
Published in Conference on Computer Vision and Pattern Recognition (CVPR), 2016
[pdf]
[arxiv]
[github]
[bibtex]
SHREC’16: Matching of Deformable Shapes with Topological Noise
Zorah Lähner, Emanuele Rodolà, Michael M. Bronstein, Daniel Cremers, Oliver Burghard, Luca Cosmo, Alexander Dieckmann, Reinhard Klein, Yusuf Sahillioğlu
Published in Eurographics Workshop on 3D Object Retrieval (3DOR), 2016
[pdf]
[bibtex]