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) (Accepted), 2023
[pdf] [arxiv] [bibtex]
Publications
You can also find my articles on my Google Scholar profile.
2023
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) (Accepted), 2023
[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] [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 PhD Thesis, 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]