@String{cgforum = "Computer Graphics Forum"}
@String{tog = "ACM TOG"}

@article{Buhmann:1998:DCQ,
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@article{Fellner-Helmberg93,
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@inproceedings{shao2023tensor4d,
  author    = {Shao, Ruizhi and Zheng, Zerong and Tu, Hanzhang and Liu, Boning and Zhang, Hongwen and Liu, Yebin},
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  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2023}
}

@inproceedings{ebbed2025moangelo,
  author    = {Ebbed, Mohamed and L{\"a}hner, Zorah},
  title     = {MoAngelo: Motion-aware neural surface reconstruction for dynamic scenes},
  booktitle = {Proceedings of the International Conference on 3D Vision},
  year      = {2026}
}

@inproceedings{zhou2025gaussLBO,
  author    = {Zhou, Hongyu and L{\"a}hner, Zorah},
  title     = {Laplace-Beltrami operator for Gaussian splatting},
  booktitle = {Proceedings of the International Conference on 3D Vision},
  year      = {2026}
}

@article{seelbach2025compensating,
  author  = {Seelbach Benkner, Marcel and L{\"a}hner, Zorah and Golyanik, Vladislav and Kliesch, Martin and Moeller, Michael},
  title   = {Compensating connectivity restrictions in quantum annealers via splitting and linearization techniques},
  journal = {arXiv preprint arXiv:2507.12536},
  year    = {2025}
}

@inproceedings{chen2025adaptive,
  author    = {Chen, Decai and Oberson, Brianne and Feldmann, Ingo and Schreer, Oliver and Hilsmann, Anna and Eisert, Peter},
  title     = {Adaptive and temporally consistent Gaussian surfels for multi-view dynamic reconstruction},
  booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
  pages     = {742--752},
  year      = {2025}
}

@book{FolDamFeiHug.etal93,
  author    = {Foley, James D. and van Dam, Andries and Feiner, Stephen K. and Hughes, John F. and Phillips, R.},
  title     = {Introduction to computer graphics},
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  year      = {1993}
}

@article{Kobbelt97-USHDR,
  author  = {Kobbelt, L. and Stamminger, M. and Seidel, H.-P.},
  title   = {Using subdivision on hierarchical data to reconstruct radiosity distribution},
  journal = {Computer Graphics Forum},
  volume  = {16},
  number  = {3},
  pages   = {C347--C355},
  year    = {1997},
  doi     = {10.1111/1467-8659.16.3conferenceissue.36}
}

@inproceedings{Lafortune97-NARF,
  author    = {Lafortune, Eric P. and Foo, Sing-Choong and Torrance, Kenneth E. and Greenberg, Donald P.},
  title     = {Non-linear approximation of reflectance functions},
  booktitle = {Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques},
  pages     = {117--126},
  year      = {1997},
  doi       = {10.1145/258734.258801}
}

@article{Lous90,
  author  = {Le Lous, Y.},
  title   = {Report on the first Eurographics workshop on visualization in scientific computing},
  journal = {Computer Graphics Forum},
  volume  = {9},
  number  = {4},
  pages   = {371--372},
  year    = {1990},
  doi     = {10.1111/j.1467-8659.1990.tb00430.x}
}

@article{Seidel93,
  author  = {Seidel, Hans-Peter},
  title   = {Polar forms for geometrically continuous spline curves of arbitrary degree},
  journal = {ACM Transactions on Graphics},
  volume  = {12},
  number  = {1},
  pages   = {1--34},
  year    = {1993},
  doi     = {10.1145/169728.169726}
}

@article{sahillioglu_recent_2020,
  author  = {Sahillio{\u{g}}lu, Yusuf},
  title   = {Recent advances in shape correspondence},
  journal = {The Visual Computer},
  volume  = {36},
  number  = {8},
  pages   = {1705--1721},
  year    = {2020},
  doi     = {10.1007/s00371-019-01760-0}
}

@article{deng_survey_2022,
  author  = {Deng, Bailin and Yao, Yuxin and Dyke, Roberto M. and Zhang, Juyong},
  title   = {A survey of non-rigid 3D registration},
  journal = {Computer Graphics Forum},
  volume  = {41},
  number  = {2},
  pages   = {559--589},
  year    = {2022},
  doi     = {10.1111/cgf.14502}
}

@inproceedings{ovsjanikov_computing_2016,
  author    = {Ovsjanikov, Maks and Corman, Etienne and Bronstein, Michael and Rodol{\`a}, Emanuele and Ben-Chen, Mirela and Guibas, Leonidas and Chazal, Frederic and Bronstein, Alex},
  title     = {Computing and processing correspondences with functional maps},
  booktitle = {Proceedings of SIGGRAPH Asia 2016 Courses},
  pages     = {1--60},
  year      = {2016},
  doi       = {10.1145/2988458.2988494}
}

@article{ovsjanikov_functional_2012,
  author  = {Ovsjanikov, Maks and Ben-Chen, Mirela and Solomon, Justin and Butscher, Adrian and Guibas, Leonidas},
  title   = {Functional maps: A flexible representation of maps between shapes},
  journal = {ACM Transactions on Graphics},
  volume  = {31},
  number  = {4},
  pages   = {1--11},
  year    = {2012}
}

@inproceedings{donati_deep_2020,
  author    = {Donati, Nicolas and Sharma, Abhishek and Ovsjanikov, Maks},
  title     = {Deep geometric functional maps: Robust feature learning for shape correspondence},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     = {8592--8601},
  year      = {2020}
}

@inproceedings{pai_fast_2021,
  author    = {Pai, Gautam and Ren, Jing and Melzi, Simone and Wonka, Peter and Ovsjanikov, Maks},
  title     = {Fast sinkhorn filters: Using matrix scaling for non-rigid shape correspondence with functional maps},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     = {384--393},
  year      = {2021}
}

@inproceedings{vestner2017product,
  author    = {Vestner, Matthias and Litman, Roee and Rodol{\`a}, Emanuele and Bronstein, Alex and Cremers, Daniel},
  title     = {Product manifold filter: Non-rigid shape correspondence via kernel density estimation in the product space},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages     = {3327--3336},
  year      = {2017}
}

@article{ren2018continuous,
  author  = {Ren, Jing and Poulenard, Adrien and Wonka, Peter and Ovsjanikov, Maks},
  title   = {Continuous and orientation-preserving correspondences via functional maps},
  journal = {ACM Transactions on Graphics},
  volume  = {37},
  number  = {6},
  pages   = {1--16},
  year    = {2018}
}

@article{melzi_zoomout_2019,
  author  = {Melzi, Simone and Ren, Jing and Rodol{\`a}, Emanuele and Sharma, Abhishek and Wonka, Peter and Ovsjanikov, Maks},
  title   = {ZoomOut: Spectral upsampling for efficient shape correspondence},
  journal = {ACM Transactions on Graphics},
  volume  = {38},
  number  = {6},
  pages   = {1--14},
  year    = {2019},
  doi     = {10.1145/3355089.3356524}
}

@article{ezuz2019reversible,
  author  = {Ezuz, Danielle and Solomon, Justin and Ben-Chen, Mirela},
  title   = {Reversible harmonic maps between discrete surfaces},
  journal = {ACM Transactions on Graphics},
  volume  = {38},
  number  = {2},
  pages   = {1--12},
  year    = {2019}
}

@inproceedings{pai2021fast,
  author    = {Pai, Gautam and Ren, Jing and Melzi, Simone and Wonka, Peter and Ovsjanikov, Maks},
  title     = {Fast sinkhorn filters: Using matrix scaling for non-rigid shape correspondence with functional maps},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     = {384--393},
  year      = {2021}
}

@article{ren2021discrete,
  author  = {Ren, Jing and Melzi, Simone and Wonka, Peter and Ovsjanikov, Maks},
  title   = {Discrete optimization for shape matching},
  journal = {Computer Graphics Forum},
  volume  = {40},
  number  = {5},
  pages   = {81--96},
  year    = {2021}
}

@inproceedings{magnet2022smooth,
  author    = {Magnet, Robin and Ren, Jing and Sorkine-Hornung, Olga and Ovsjanikov, Maks},
  title     = {Smooth non-rigid shape matching via effective Dirichlet energy optimization},
  booktitle = {Proceedings of the International Conference on 3D Vision},
  pages     = {495--504},
  year      = {2022}
}

@article{panine2022non,
  author  = {Panine, Mikhail and Kirgo, Maxime and Ovsjanikov, Maks},
  title   = {Non-isometric shape matching via functional maps on landmark-adapted bases},
  journal = {Computer Graphics Forum},
  volume  = {41},
  number  = {6},
  pages   = {394--417},
  year    = {2022}
}

@inproceedings{bernard2019hippi,
  author    = {Bernard, Florian and Thunberg, Johan and Swoboda, Paul and Theobalt, Christian},
  title     = {HIPPI: Higher-order projected power iterations for scalable multi-matching},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages     = {10284--10293},
  year      = {2019}
}

@article{huang2020consistent,
  author  = {Huang, Ruqi and Ren, Jing and Wonka, Peter and Ovsjanikov, Maks},
  title   = {Consistent ZoomOut: Efficient spectral map synchronization},
  journal = {Computer Graphics Forum},
  volume  = {39},
  number  = {5},
  pages   = {265--278},
  year    = {2020}
}

@article{sorkine_laplacian_2005,
  author  = {Sorkine, Olga},
  title   = {Laplacian mesh processing},
  journal = {Eurographics State of the Art Reports},
  volume  = {4},
  number  = {4},
  pages   = {1},
  year    = {2005}
}

@incollection{meyer_discrete_2003,
  author    = {Meyer, Mark and Desbrun, Mathieu and Schr{\"o}der, Peter and Barr, Alan H.},
  title     = {Discrete differential-geometry operators for triangulated 2-manifolds},
  booktitle = {Visualization and mathematics III},
  pages     = {35--57},
  year      = {2003},
  publisher = {Springer},
}

@book{botsch2010polygon,
  author    = {Botsch, Mario and Kobbelt, Leif and Pauly, Mark and Alliez, Pierre and L{\'e}vy, Bruno},
  title     = {Polygon mesh processing},
  publisher = {AK Peters},
  year      = {2010}
}

@article{bentley1975multidimensional,
  author  = {Bentley, Jon Louis},
  title   = {Multidimensional binary search trees used for associative searching},
  journal = {Communications of the ACM},
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  year    = {1975}
}

@article{vollmer_improved_1999,
  author  = {Vollmer, J. and Mencl, R. and M{\"u}ller, H.},
  title   = {Improved Laplacian smoothing of noisy surface meshes},
  journal = {Computer Graphics Forum},
  volume  = {18},
  number  = {3},
  pages   = {131--138},
  year    = {1999},
  doi     = {10.1111/1467-8659.00334}
}

@book{amrani_3d_2025,
  author    = {El Amrani, Nafie and Lennart, Bastian and Ehm, Viktoria and Laehner, Zorah and Bernard, Florian},
  title     = {3D shape analysis: From classical optimisation methods to feature learning for shape matching},
  publisher = {The Eurographics Association},
  year      = {2025}
}

@inproceedings{aubry2011wave,
  author    = {Aubry, Mathieu and Schlickewei, Ulrich and Cremers, Daniel},
  title     = {The wave kernel signature: A quantum mechanical approach to shape analysis},
  booktitle = {Proceedings of the IEEE International Conference on Computer Vision Workshops},
  year      = {2011}
}

@inproceedings{bronstein2010scale,
  author    = {Bronstein, Michael M. and Kokkinos, Iasonas},
  title     = {Scale-invariant heat kernel signatures for non-rigid shape recognition},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages     = {1704--1711},
  year      = {2010}
}

@article{sun2009concise,
  author  = {Sun, Jian and Ovsjanikov, Maks and Guibas, Leonidas},
  title   = {A concise and provably informative multi-scale signature based on heat diffusion},
  journal = {Computer Graphics Forum},
  volume  = {28},
  number  = {5},
  pages   = {1383--1392},
  year    = {2009}
}

@inproceedings{tombari2010unique,
  author    = {Tombari, Federico and Salti, Samuele and Di Stefano, Luigi},
  title     = {Unique signatures of histograms for local surface description},
  booktitle = {Proceedings of the European Conference on Computer Vision},
  pages     = {356--369},
  year      = {2010}
}

@article{salti2014shot,
  author  = {Salti, Samuele and Tombari, Federico and Di Stefano, Luigi},
  title   = {SHOT: Unique signatures of histograms for surface and texture description},
  journal = {Computer Vision and Image Understanding},
  volume  = {125},
  pages   = {251--264},
  year    = {2014}
}

@article{sharp2022diffusionnet,
  author  = {Sharp, Nicholas and Attaiki, Souhaib and Crane, Keenan and Ovsjanikov, Maks},
  title   = {DiffusionNet: Discretization agnostic learning on surfaces},
  journal = {ACM Transactions on Graphics},
  volume  = {41},
  number  = {3},
  pages   = {1--16},
  year    = {2022}
}

@inproceedings{litany2017deep,
  author    = {Litany, Or and Remez, Tal and Rodol{\`a}, Emanuele and Bronstein, Alex and Bronstein, Michael},
  title     = {Deep functional maps: Structured prediction for dense shape correspondence},
  booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
  pages     = {5659--5667},
  year      = {2017}
}

@inproceedings{donati2020deep,
  author    = {Donati, Nicolas and Sharma, Abhishek and Ovsjanikov, Maks},
  title     = {Deep geometric functional maps: Robust feature learning for shape correspondence},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     = {8592--8601},
  year      = {2020}
}

@inproceedings{halimi2019unsupervised,
  author    = {Halimi, Oshri and Litany, Or and Rodol{\`a}, Emanuele and Bronstein, Alex M. and Kimmel, Ron},
  title     = {Unsupervised learning of dense shape correspondence},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     = {4370--4379},
  year      = {2019}
}

@inproceedings{roufosse2019unsupervised,
  author    = {Roufosse, Jean-Michel and Sharma, Abhishek and Ovsjanikov, Maks},
  title     = {Unsupervised deep learning for structured shape matching},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages     = {1617--1627},
  year      = {2019}
}

@inproceedings{aygun2020unsupervised,
  author    = {Ayg{\"u}n, Mehmet and L{\"a}hner, Zorah and Cremers, Daniel},
  title     = {Unsupervised dense shape correspondence using heat kernels},
  booktitle = {Proceedings of the International Conference on 3D Vision},
  pages     = {573--582},
  year      = {2020}
}

@inproceedings{sharma2020weakly,
  author    = {Sharma, Abhishek and Ovsjanikov, Maks},
  title     = {Weakly supervised deep functional maps for shape matching},
  booktitle = {Proceedings of the Conference on Neural Information Processing Systems},
  volume    = {33},
  pages     = {19264--19275},
  year      = {2020}
}

@article{vigano2025nam,
  title   = {NAM: Neural adjoint maps for refining shape correspondences},
  author  = {Vigan{\`o}, Giulio and Ovsjanikov, Maks and Melzi, Simone},
  journal = {ACM Transactions on Graphics},
  volume  = {44},
  number  = {4},
  pages   = {1--15},
  year    = {2025}
}

@article{ehm2025beyond,
  title   = {Beyond complete shapes: A benchmark for quantitative evaluation of 3D shape surface matching algorithms},
  author  = {Ehm, V. and El Amrani, N. and Xie, Y. and Bastian, L. and Gao, M. and Wang, W. and Sang, L. and Cao, D. and Wei{\ss}berg, T. and L{\"a}hner, Z. and others},
  journal = {Computer Graphics Forum},
  volume  = {44},
  pages   = {e70186},
  year    = {2025}
}

@inproceedings{cao_self-supervised_2023,
  title     = {Self-supervised learning for multimodal non-rigid 3D shape matching},
  author    = {Cao, Dongliang and Bernard, Florian},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  doi       = {10.1109/CVPR52729.2023.01701},
  pages     = {17735--17744},
  year      = {2023}
}

@inproceedings{magnet_memory-scalable_2024,
  title     = {Memory-scalable and simplified functional map learning},
  author    = {Magnet, Robin and Ovsjanikov, Maks},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  doi       = {10.1109/CVPR52733.2024.00387},
  pages     = {4041--4050},
  year      = {2024}
}

@inproceedings{attaiki_shape_2023,
  title     = {Shape non-rigid kinematics (SNK): A zero-shot method for non-rigid shape matching via unsupervised functional map regularized reconstruction},
  author    = {Attaiki, Souhaib and Ovsjanikov, Maks},
  booktitle = {Proceedings of the Conference on Neural Information Processing Systems},
  year      = {2023}
}

@article{magnet_scalable_2023,
  title   = {Scalable and efficient functional map computations on dense meshes},
  author  = {Magnet, Robin and Ovsjanikov, Maks},
  journal = {Computer Graphics Forum},
  volume  = {42},
  number  = {2},
  doi     = {10.1111/cgf.14746},
  pages   = {89--101},
  year    = {2023}
}

@inproceedings{eisenberger2020deep,
  title     = {Deep shells: Unsupervised shape correspondence with optimal transport},
  author    = {Eisenberger, Marvin and Toker, Aysim and Leal-Taix{\'e}, Laura and Cremers, Daniel},
  booktitle = {Proceedings of the Conference on Neural Information Processing Systems},
  volume    = {33},
  pages     = {10491--10502},
  year      = {2020}
}

@inproceedings{sun_spatially_2023,
  title     = {Spatially and spectrally consistent deep functional maps},
  author    = {Sun, Mingze and Mao, Shiwei and Jiang, Puhua and Ovsjanikov, Maks and Huang, Ruqi},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages     = {14497--14507},
  year      = {2023}
}

@inproceedings{attaiki_understanding_2023,
  title     = {Understanding and improving features learned in deep functional maps},
  author    = {Attaiki, Souhaib and Ovsjanikov, Maks},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  doi       = {10.1109/CVPR52729.2023.00133},
  pages     = {1316--1326},
  year      = {2023}
}

@inproceedings{attaiki_ncp_2022,
  title     = {NCP: Neural correspondence prior for effective unsupervised shape matching},
  author    = {Attaiki, Souhaib and Ovsjanikov, Maks},
  booktitle = {Proceedings of the Conference on Neural Information Processing Systems},
  volume    = {35},
  pages     = {28842--28857},
  year      = {2022}
}

@inproceedings{li_learning_2022,
  title     = {Learning multi-resolution functional maps with spectral attention for robust shape matching},
  author    = {Li, Lei and Donati, Nicolas and Ovsjanikov, Maks},
  booktitle = {Proceedings of the Conference on Neural Information Processing Systems},
  volume    = {35},
  pages     = {29336--29349},
  year      = {2022}
}

@inproceedings{magnet_smooth_2022,
  title     = {Smooth non-rigid shape matching via effective Dirichlet energy optimization},
  author    = {Magnet, Robin and Ren, Jing and Sorkine-Hornung, Olga and Ovsjanikov, Maks},
  booktitle = {Proceedings of the International Conference on 3D Vision},
  pages     = {495--504},
  year      = {2022}
}

@article{panine_nonisometric_2022,
  title   = {Non-isometric shape matching via functional maps on landmark-adapted bases},
  author  = {Panine, Mikhail and Kirgo, Maxime and Ovsjanikov, Maks},
  journal = {Computer Graphics Forum},
  volume  = {41},
  number  = {6},
  doi     = {10.1111/cgf.14579},
  pages   = {394--417},
  year    = {2022}
}

@article{moschella_learning_2022,
  title   = {Learning spectral unions of partial deformable 3D shapes},
  author  = {Moschella, Luca and Melzi, Simone and Cosmo, Luca and Maggioli, Filippo and Litany, Or and Ovsjanikov, Maks and Guibas, Leonidas and Rodol{\`a}, Emanuele},
  journal = {Computer Graphics Forum},
  volume  = {41},
  number  = {2},
  doi     = {10.1111/cgf.14483},
  pages   = {407--417},
  year    = {2022}
}

@article{donati_complex_2022,
  title   = {Complex functional maps: A conformal link between tangent bundles},
  author  = {Donati, Nicolas and Corman, Etienne and Melzi, Simone and Ovsjanikov, Maks},
  journal = {Computer Graphics Forum},
  volume  = {41},
  number  = {1},
  doi     = {10.1111/cgf.14437},
  pages   = {317--334},
  year    = {2022}
}

@inproceedings{donati_deep_2022,
  title     = {Deep orientation-aware functional maps: Tackling symmetry issues in shape matching},
  author    = {Donati, Nicolas and Corman, Etienne and Ovsjanikov, Maks},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     = {742--751},
  year      = {2022}
}

@incollection{kothe_network_2024,
  title     = {A network analysis for correspondence learning via linearly-embedded functions},
  author    = {Siddiqi, Sharik and L{\"a}hner, Zorah},
  booktitle = {Pattern Recognition},
  editor    = {K{\"o}the, Ullrich and Rother, Carsten},
  volume    = {14264},
  doi       = {10.1007/978-3-031-54605-1_7},
  pages     = {100--114},
  year      = {2024}
}

#################################
# DOI is NOT included in the next 500 lines
#################################

@inproceedings{cao_revisiting_2024,
  title     = {Revisiting map relations for unsupervised non-rigid shape matching},
  author    = {Cao, Dongliang and Roetzer, Paul and Bernard, Florian},
  booktitle = {Proceedings of the International Conference on 3D Vision},
  pages     = {1371--1381},
  year      = {2024}
}

@article{cao_unsupervised_2023,
  title   = {Unsupervised learning of robust spectral shape matching},
  author  = {Cao, Dongliang and Roetzer, Paul and Bernard, Florian},
  journal = {ACM Transactions on Graphics},
  volume  = {42},
  number  = {4},
  pages   = {1--15},
  year    = {2023}
}

@inproceedings{cao2022unsupervised,
  title     = {Unsupervised deep multi-shape matching},
  author    = {Cao, Dongliang and Bernard, Florian},
  booktitle = {Proceedings of the European Conference on Computer Vision},
  pages     = {55--71},
  year      = {2022}
}

@inproceedings{maggioli_rematching_2024,
  title     = {ReMatching: Low-resolution representations for scalable shape correspondence},
  author    = {Maggioli, Filippo and Baieri, Daniele and Rodol{\`a}, Emanuele and Melzi, Simone},
  booktitle = {Proceedings of the European Conference on Computer Vision},
  pages     = {183--200},
  year      = {2024}
}

@article{colombo_extracting_2023,
  title   = {Extracting a functional representation from a dictionary for non-rigid shape matching},
  author  = {Colombo, Michele and Boracchi, Giacomo and Melzi, Simone},
  journal = {Computers \& Graphics},
  volume  = {113},
  pages   = {43--56},
  year    = {2023}
}

@inproceedings{vigano_adjoint_2023,
  title     = {Adjoint bijective ZoomOut: Efficient upsampling for learned linearly-invariant embedding},
  author    = {Vigan{\`o}, Giulio and Melzi, Simone},
  booktitle = {Proceedings of the Italian Chapter Conference},
  pages     = {37--46},
  year      = {2023}
}

@inproceedings{li_srfeat_2022,
  title     = {SRFeat: Learning locally accurate and globally consistent non-rigid shape correspondence},
  author    = {Li, Lei and Attaiki, Souhaib and Ovsjanikov, Maks},
  booktitle = {Proceedings of the International Conference on 3D Vision},
  pages     = {144--154},
  year      = {2022}
}

@inproceedings{cao_spectral_2024,
  title     = {Spectral meets spatial: Harmonising 3D shape matching and interpolation},
  author    = {Cao, Dongliang and Eisenberger, Marvin and El Amrani, Nafie and Cremers, Daniel and Bernard, Florian},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     = {3658--3668},
  year      = {2024}
}

@inproceedings{hartwig_elastic_2023,
  title     = {An elastic basis for spectral shape correspondence},
  author    = {Hartwig, Florine and Sassen, Josua and Azencot, Omri and Rumpf, Martin and Ben-Chen, Mirela},
  booktitle = {Proceedings of the SIGGRAPH Conference},
  pages     = {1--11},
  year      = {2023}
}

@article{huang_multiway_2022,
  title   = {Multiway non-rigid point cloud registration via learned functional map synchronization},
  author  = {Huang, Jiahui and Birdal, Tolga and Gojcic, Zan and Guibas, Leonidas J. and Hu, Shi-Min},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume  = {45},
  number  = {2},
  pages   = {2038--2053},
  year    = {2022}
}

@article{sundararaman_deformation_2024,
  title   = {Deformation recovery: Localized learning for detail-preserving deformations},
  author  = {Sundararaman, Ramana and Donati, Nicolas and Melzi, Simone and Corman, Etienne and Ovsjanikov, Maks},
  journal = {ACM Transactions on Graphics},
  volume  = {43},
  number  = {6},
  pages   = {1--16},
  year    = {2024}
}

@inproceedings{leonardis_rematching_2025,
  title     = {ReMatching: Low-resolution representations for scalable shape correspondence},
  author    = {Maggioli, Filippo and Baieri, Daniele and Rodol{\`a}, Emanuele and Melzi, Simone},
  booktitle = {Proceedings of the European Conference on Computer Vision},
  pages     = {183--200},
  year      = {2025}
}

@inproceedings{sundararaman_reduced_2022,
  title     = {Reduced representation of deformation fields for effective non-rigid shape matching},
  author    = {Sundararaman, Ramana Subramanyam and Marin, Riccardo and Rodol{\`a}, Emanuele and Ovsjanikov, Maks},
  booktitle = {Proceedings of the Conference on Neural Information Processing Systems},
  volume    = {35},
  pages     = {10405--10420},
  year      = {2022}
}

@inproceedings{avidan_implicit_2022,
  title     = {Implicit field supervision for robust non-rigid shape matching},
  author    = {Sundararaman, Ramana and Pai, Gautam and Ovsjanikov, Maks},
  booktitle = {Proceedings of the European Conference on Computer Vision},
  pages     = {344--362},
  year      = {2022}
}

@article{maggioli_sshade_2024,
  title   = {SShaDe: Scalable shape deformation via local representations},
  author  = {Maggioli, Filippo and Baieri, Daniele and L{\"a}hner, Zorah and Melzi, Simone},
  journal = {arXiv preprint arXiv:2409.17961},
  year    = {2024}
}

@inproceedings{baieri_implicit-arap_2024,
  title     = {Implicit-ARAP: Efficient handle-guided deformation of high-resolution meshes and neural fields via local patch meshing},
  author    = {Baieri, Daniele and Maggioli, Filippo and L{\"a}hner, Zorah and Melzi, Simone and Rodol{\`a}, Emanuele},
  booktitle = {Proceedings of the Conference on Neural Information Processing Systems},
  year      = {2024}
}

@article{sang_implicit_2025,
  title   = {Implicit neural surface deformation with explicit velocity fields},
  author  = {Sang, Lu and Canfes, Zehranaz and Cao, Dongliang and Bernard, Florian and Cremers, Daniel},
  journal = {arXiv preprint arXiv:2501.14038},
  year    = {2025}
}

@article{raganato_attention_2023,
  title   = {Attention and positional encoding are (almost) all you need for shape matching},
  author  = {Raganato, Alessandro and Pasi, Gabriella and Melzi, Simone},
  journal = {Computer Graphics Forum},
  volume  = {42},
  number  = {5},
  pages   = {e14912},
  year    = {2023}
}

@article{oehri_higher_2025,
  title   = {Higher order continuity for smooth as-rigid-as-possible shape modeling},
  author  = {Oehri, Annika and Herholz, Philipp and Sorkine-Hornung, Olga},
  journal = {arXiv preprint arXiv:2501.10335},
  year    = {2025}
}

@article{kim_optctrlpoints_2023,
  title   = {OptCtrlPoints: Finding the optimal control points for biharmonic 3D shape deformation},
  author  = {Kim, Kunho and Angelina Uy, Mikaela and Paschalidou, Despoina and Jacobson, Alec and Guibas, Leonidas J. and Sung, Minhyuk},
  journal = {Computer Graphics Forum},
  volume  = {42},
  number  = {7},
  pages   = {e14963},
  year    = {2023}
}

@inproceedings{leonardis_nicp_2025,
  title     = {NICP: Neural ICP for 3D human registration at scale},
  author    = {Marin, Riccardo and Corona, Enric and Pons-Moll, Gerard},
  booktitle = {Proceedings of the European Conference on Computer Vision},
  pages     = {265--285},
  year      = {2025}
}

@inproceedings{groueix_3d-coded_2018,
  title     = {3D-CODED: 3D correspondences by deep deformation},
  author    = {Groueix, Thibault and Fisher, Matthew and Kim, Vladimir G. and Russell, Bryan C. and Aubry, Mathieu},
  booktitle = {Proceedings of the European Conference on Computer Vision},
  pages     = {235--251},
  year      = {2018}
}

@inproceedings{trappolini_shape_2021,
  title     = {Shape registration in the time of transformers},
  author    = {Trappolini, Giovanni and Cosmo, Luca and Moschella, Luca and Marin, Riccardo and Melzi, Simone and Rodol{\`a}, Emanuele},
  booktitle = {Proceedings of the Conference on Neural Information Processing Systems},
  volume    = {34},
  pages     = {5731--5744},
  year      = {2021}
}

@inproceedings{dutt_diffusion_2024,
  title     = {Diffusion 3D features (Diff3F): Decorating untextured shapes with distilled semantic features},
  author    = {Dutt, Niladri Shekhar and Muralikrishnan, Sanjeev and Mitra, Niloy J.},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     = {4494--4504},
  year      = {2024}
}

@inproceedings{abdelreheem_satr_2023,
  title     = {SATR: Zero-shot semantic segmentation of 3D shapes},
  author    = {Abdelreheem, Ahmed and Skorokhodov, Ivan and Ovsjanikov, Maks and Wonka, Peter},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages     = {15166--15179},
  year      = {2023}
}

@inproceedings{cao_motion2vecsets_2024,
  title     = {Motion2VecSets: 4D latent vector set diffusion for non-rigid shape reconstruction and tracking},
  author    = {Cao, Wei and Luo, Chang and Zhang, Biao and Nie{\ss}ner, Matthias and Tang, Jiapeng},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     = {20496--20506},
  year      = {2024}
}

@inproceedings{liu_stable-score_2025,
  title     = {Stable-SCore: A stable registration-based framework for 3D shape correspondence},
  author    = {Liu, Haolin and Zhan, Xiaohang and Yan, Zizheng and Luo, Zhongjin and Wen, Yuxin and Han, Xiaoguang},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     = {917--928},
  year      = {2025}
}

@inproceedings{chen_dv-matcher_2025,
  title     = {DV-Matcher: Deformation-based non-rigid point cloud matching guided by pre-trained visual features},
  author    = {Chen, Zhangquan and Jiang, Puhua and Huang, Ruqi},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     = {27264--27274},
  year      = {2025}
}

@inproceedings{zhuravlev_denoising_2025,
  title     = {Denoising functional maps: Diffusion models for shape correspondence},
  author    = {Zhuravlev, Aleksei and L{\"a}hner, Zorah and Golyanik, Vladislav},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     = {26899--26909},
  year      = {2025}
}

@inproceedings{ehm_partial--partial_2024,
  title     = {Partial-to-partial shape matching with geometric consistency},
  author    = {Ehm, Viktoria and Gao, Maolin and Roetzer, Paul and Eisenberger, Marvin and Cremers, Daniel and Bernard, Florian},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     = {27488--27497},
  year      = {2024}
}

@inproceedings{ehm2026partialgeco,
  title     = {An integer linear programming approach to geometrically consistent partial-partial shape matching},
  author    = {Ehm, Viktoria and Roetzer, Paul and Bernard, Florian and Cremers, Daniel},
  booktitle = {Proceedings of the International Conference on 3D Vision},
  year      = {2026}
}

@inproceedings{ehm_geometrically_2024,
  title     = {Geometrically consistent partial shape matching},
  author    = {Ehm, Viktoria and Roetzer, Paul and Eisenberger, Marvin and Gao, Maolin and Bernard, Florian and Cremers, Daniel},
  booktitle = {Proceedings of the International Conference on 3D Vision},
  pages     = {914--922},
  year      = {2024}
}

@inproceedings{bracha_wormhole_2024,
  title     = {Wormhole loss for partial shape matching},
  author    = {Bracha, Amit and Dag\`{e}s, Thomas and Kimmel, Ron},
  booktitle = {Proceedings of the Conference on Neural Information Processing Systems},
  year      = {2024}
}

@inproceedings{bracha_unsupervised_2024,
  title     = {On unsupervised partial shape correspondence},
  author    = {Bracha, Amit and Dag{\`e}s, Thomas and Kimmel, Ron},
  booktitle = {Proceedings of the Asian Conference on Computer Vision},
  pages     = {4488--4504},
  year      = {2024}
}

@article{bensaid_partial_2023,
  title   = {Partial matching of nonrigid shapes by learning piecewise smooth functions},
  author  = {Bensa{\"i}d, David and Rotstein, Noam and Goldenstein, Nelson and Kimmel, Ron},
  journal = {Computer Graphics Forum},
  volume  = {42},
  number  = {5},
  pages   = {e14913},
  year    = {2023}
}

@inproceedings{bensaid_partial_2023-1,
  title     = {Partial shape similarity by multi-metric Hamiltonian spectra matching},
  author    = {Bensa{\"i}d, David and Bracha, Amit and Kimmel, Ron},
  booktitle = {Scale Space and Variational Methods in Computer Vision},
  pages     = {717--729},
  year      = {2023}
}

@article{bracha_partial_2023,
  title   = {On partial shape correspondence and functional maps},
  author  = {Bracha, Amit and Dag{\`e}s, Thomas and Kimmel, Ron},
  journal = {CoRR},
  year    = {2023}
}

@inproceedings{xie_echomatch_2025,
  title     = {EchoMatch: Partial-to-partial shape matching via correspondence reflection},
  author    = {Xie, Yizheng and Ehm, Viktoria and Roetzer, Paul and El Amrani, Nafie and Gao, Maolin and Bernard, Florian and Cremers, Daniel},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     = {11665--11675},
  year      = {2025}
}

@inproceedings{droge_kissing_2023,
  title     = {Kissing to find a match: Efficient low-rank permutation representation},
  author    = {Dr{\"o}ge, Hannah and L{\"a}hner, Zorah and Bahat, Yuval and Martorell Nadal, Onofre and Heide, Felix and M{\"o}ller, Michael},
  booktitle = {Proceedings of the Conference on Neural Information Processing Systems},
  volume    = {36},
  pages     = {48459--48471},
  year      = {2023}
}

@inproceedings{gao_sigma_2023,
  title     = {SIGMA: Scale-invariant global sparse shape matching},
  author    = {Gao, Maolin and Roetzer, Paul and Eisenberger, Marvin and L{\"a}hner, Zorah and Moeller, Michael and Cremers, Daniel and Bernard, Florian},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages     = {645--654},
  year      = {2023}
}

@inproceedings{bhatia_ccuantumm_2023,
  title     = {CCuantuMM: Cycle-consistent quantum-hybrid matching of multiple shapes},
  author    = {Bhatia, Harshil and Tretschk, Edith and L{\"a}hner, Zorah and Benkner, Marcel Seelbach and Moeller, Michael and Theobalt, Christian and Golyanik, Vladislav},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     = {1296--1305},
  year      = {2023}
}

@inproceedings{roetzer_conjugate_2023,
  title     = {Conjugate product graphs for globally optimal 2D-3D shape matching},
  author    = {Roetzer, Paul and L{\"a}hner, Zorah and Bernard, Florian},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     = {21866--21875},
  year      = {2023}
}

@inproceedings{meli_qucoop_2025,
  title     = {QuCOOP: A versatile framework for solving composite and binary-parametrised problems on quantum annealers},
  author    = {Meli, Natacha Kuete and Golyanik, Vladislav and Benkner, Marcel Seelbach and Moeller, Michael},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2025}
}

@article{meli2025quantum,
  title   = {Quantum-enhanced computer vision: Going beyond classical algorithms},
  author  = {Meli, Natacha Kuete and Wang, Shuteng and Benkner, Marcel Seelbach and Sasdelli, Michele and Chin, Tat-Jun and Birdal, Tolga and Moeller, Michael and Golyanik, Vladislav},
  journal = {arXiv preprint arXiv:2510.07317},
  year    = {2025}
}

@article{roetzer_fast_2025,
  title   = {Fast globally optimal and geometrically consistent 3D shape matching},
  author  = {Roetzer, Paul and Bernard, Florian},
  journal = {arXiv preprint arXiv:2504.06385},
  year    = {2025}
}

@inproceedings{roetzer_spidermatch_2024,
  title     = {SpiderMatch: 3D shape matching with global optimality and geometric consistency},
  author    = {Roetzer, Paul and Bernard, Florian},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     = {14543--14553},
  year      = {2024}
}

@inproceedings{roetzer_scalable_2022,
  title     = {A scalable combinatorial solver for elastic geometrically consistent 3D shape matching},
  author    = {Roetzer, Paul and Swoboda, Paul and Cremers, Daniel and Bernard, Florian},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     = {428--438},
  year      = {2022}
}

@inproceedings{saleh_bending_2022,
  title     = {Bending graphs: Hierarchical shape matching using gated optimal transport},
  author    = {Saleh, Mahdi and Wu, Shun-Cheng and Cosmo, Luca and Navab, Nassir and Busam, Benjamin and Tombari, Federico},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     = {11747--11757},
  year      = {2022}
}

@article{gong_zerokey_2024,
  title   = {ZeroKey: Point-level reasoning and zero-shot 3D keypoint detection from large language models},
  author  = {Gong, Bingchen and Gomez, Diego and Hamdi, Abdullah and Eldesokey, Abdelrahman and Abdelreheem, Ahmed and Wonka, Peter and Ovsjanikov, Maks},
  journal = {arXiv preprint arXiv:2412.06292},
  year    = {2024}
}

@article{van_den_herrewegen_fine-tuning_2024,
  title   = {Fine-tuning 3D foundation models for geometric object retrieval},
  author  = {Van Den Herrewegen, Jarne and Tourw{\'e}, Tom and Ovsjanikov, Maks and Wyffels, Francis},
  journal = {Computers \& Graphics},
  volume  = {122},
  pages   = {103993},
  year    = {2024}
}

@article{hahner_unsupervised_2023,
  title   = {Unsupervised representation learning for diverse deformable shape collections},
  author  = {Hahner, Sara and Attaiki, Souhaib and Garcke, Jochen and Ovsjanikov, Maks},
  journal = {arXiv preprint arXiv:2310.18141},
  year    = {2023}
}

@inproceedings{wimmer_back_2024,
  title     = {Back to 3D: Few-shot 3D keypoint detection with back-projected 2D features},
  author    = {Wimmer, Thomas and Wonka, Peter and Ovsjanikov, Maks},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     = {4154--4164},
  year      = {2024}
}

@article{magnet_assessing_2023,
  title   = {Assessing craniofacial growth and form without landmarks: A new automatic approach based on spectral methods},
  author  = {Magnet, Robin and Bloch, Kevin and Taverne, Maxime and Melzi, Simone and Geoffroy, Maya and Khonsari, Roman H. and Ovsjanikov, Maks},
  journal = {Journal of Morphology},
  volume  = {284},
  number  = {8},
  pages   = {e21609},
  year    = {2023}
}

@inproceedings{attaiki_generalizable_2023,
  title     = {Generalizable local feature pre-training for deformable shape analysis},
  author    = {Attaiki, Souhaib and Li, Lei and Ovsjanikov, Maks},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     = {13650--13661},
  year      = {2023}
}

@inproceedings{avidan_intrinsic_2022,
  title     = {Intrinsic neural fields: Learning functions on manifolds},
  author    = {Koestler, Lukas and Grittner, Daniel and Moeller, Michael and Cremers, Daniel and L{\"a}hner, Zorah},
  booktitle = {Proceedings of the European Conference on Computer Vision},
  pages     = {622--639},
  year      = {2022}
}

@inproceedings{weber_finsler-laplace-beltrami_nodate,
  title     = {Finsler-Laplace-Beltrami operators with application to shape analysis},
  author    = {Weber, Simon and Dag{\`e}s, Thomas and Gao, Maolin and Cremers, Daniel},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     = {3131--3140},
  year      = {2024}
}

@article{cosmo_3d_2022,
  title   = {3D shape analysis through a quantum lens: The average mixing kernel signature},
  author  = {Cosmo, Luca and Minello, Giorgia and Bronstein, Michael and Rodol{\`a}, Emanuele and Rossi, Luca and Torsello, Andrea},
  journal = {International Journal of Computer Vision},
  volume  = {130},
  number  = {6},
  pages   = {1474--1493},
  year    = {2022}
}

@inproceedings{maccarone_s4a_2024,
  title     = {S4A: Scalable spectral statistical shape analysis},
  author    = {Maccarone, Francesca and Longari, Giorgio and Vigan{\`o}, Giulio and Peruzzo, Denis and Maggioli, Filippo and Melzi, Simone},
  booktitle = {Smart Tools and Applications in Graphics - Eurographics Italian Chapter Conference},
  year      = {2024}
}

@inproceedings{greenspan_s3m_2023,
  title     = {S3M: Scalable statistical shape modeling through unsupervised correspondences},
  author    = {Bastian, Lennart and Baumann, Alexander and Hoppe, Emily and B{\"u}rgin, Vincent and Kim, Ha Young and Saleh, Mahdi and Busam, Benjamin and Navab, Nassir},
  booktitle = {Medical Image Computing and Computer Assisted Intervention},
  pages     = {459--469},
  year      = {2023}
}

@article{bensaid_multi-spectral_2024,
  title   = {A multi-spectral geometric approach for shape analysis},
  author  = {Bensa{\"i}d, David and Kimmel, Ron},
  journal = {Journal of Mathematical Imaging and Vision},
  volume  = {66},
  number  = {4},
  pages   = {606--615},
  year    = {2024}
}

@inproceedings{wang2025symmetry,
  title     = {Symmetry understanding of 3D shapes via chirality disentanglement},
  author    = {Wang, Weikang and Wei{\ss}berg, Tobias and El Amrani, Nafie and Bernard, Florian},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
  year      = {2025}
}

@article{gafencu2024shape,
  title   = {Shape completion in the dark: Completing vertebrae morphology from 3D ultrasound},
  author  = {Gafencu, Miruna-Alexandra and Velikova, Yordanka and Saleh, Mahdi and Ungi, Tamas and Navab, Nassir and Wendler, Thomas and Azampour, Mohammad Farid},
  journal = {International Journal of Computer Assisted Radiology and Surgery},
  volume  = {19},
  number  = {7},
  pages   = {1339--1347},
  year    = {2024}
}

@article{yang2023learning,
  title   = {Learning feature descriptors for pre- and intra-operative point cloud matching for laparoscopic liver registration},
  author  = {Yang, Zixin and Simon, Richard and Linte, Cristian A.},
  journal = {International Journal of Computer Assisted Radiology and Surgery},
  volume  = {18},
  number  = {6},
  pages   = {1025--1032},
  year    = {2023}
}

@inproceedings{wang2025vggt,
  title     = {VGGT: Visual geometry grounded transformer},
  author    = {Wang, Jianyuan and Chen, Minghao and Karaev, Nikita and Vedaldi, Andrea and Rupprecht, Christian and Novotny, David},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     = {5294--5306},
  year      = {2025}
}

@article{li2025medshapenet,
  title   = {MedShapeNet: A large-scale dataset of 3D medical shapes for computer vision},
  author  = {Li, Jianning and Zhou, Zongwei and Yang, Jiancheng and Pepe, Antonio and Gsaxner, Christina and Luijten, Gijs and Qu, Chongyu and Zhang, Tiezheng and Chen, Xiaoxi and Li, Wenxuan and others},
  journal = {Biomedical Engineering/Biomedizinische Technik},
  volume  = {70},
  number  = {1},
  pages   = {71--90},
  year    = {2025}
}

@inproceedings{gafencu2025us,
  title     = {US-X Complete: A multi-modal approach to anatomical 3D shape recovery},
  author    = {Gafencu, Miruna-Alexandra and Velikova, Yordanka and Navab, Nassir and Azampour, Mohammad Farid},
  booktitle = {International Workshop on Shape in Medical Imaging},
  pages     = {218--231},
  year      = {2025}
}

@article{pedico_taco_2024,
  title   = {TACO: A benchmark for connectivity-invariance in shape correspondence},
  author  = {Pedico, Simone and Melzi, Simone and Maggioli, Filippo},
  journal = {Smart Tools and Applications in Graphics - Eurographics Italian Chapter Conference},
  year    = {2024}
}

##########################
# DOI provided where available from here
##########################

@inproceedings{leonardis_garmentcodedata_2025,
  title     = {GarmentCodeData: A dataset of 3D made-to-measure garments with sewing patterns},
  author    = {Korosteleva, Maria and Kesdogan, Timur Levent and Kemper, Fabian and Wenninger, Stephan and Koller, Jasmin and Zhang, Yuhan and Botsch, Mario and Sorkine-Hornung, Olga},
  booktitle = {Proceedings of the European Conference on Computer Vision},
  pages     = {110--127},
  year      = {2025},
  doi       = {10.1007/978-3-031-73027-6_7}
}

@inproceedings{lin_leveraging_2023,
  title     = {Leveraging intrinsic properties for non-rigid garment alignment},
  author    = {Lin, Siyou and Zhou, Boyao and Zheng, Zerong and Zhang, Hongwen and Liu, Yebin},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages     = {14439--14450},
  year      = {2023},
  doi       = {10.1109/ICCV51070.2023.01332}
}

@inproceedings{adams_point2ssm_2023,
  title     = {Point2SSM: Learning morphological variations of anatomies from point clouds},
  author    = {Adams, Jadie and Elhabian, Shireen},
  booktitle = {Proceedings of the International Conference on Learning Representations},
  year      = {2024}
}

@inproceedings{joo_panoptic_2015,
  title     = {Panoptic Studio: A massively multiview system for social motion capture},
  author    = {Joo, Hanbyul and Liu, Hao and Tan, Lei and Gui, Lin and Nabbe, Bart and Matthews, Iain and Kanade, Takeo and Nobuhara, Shohei and Sheikh, Yaser},
  booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
  pages     = {3334--3342},
  year      = {2015},
  doi       = {10.1109/ICCV.2015.381}
}

@inproceedings{bogo_faust_2014,
  title     = {FAUST: Dataset and evaluation for 3D mesh registration},
  author    = {Bogo, Federica and Romero, Javier and Loper, Matthew and Black, Michael J.},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages     = {3794--3801},
  year      = {2014}
}

@inproceedings{anguelov_scape_2005,
  title     = {SCAPE: Shape completion and animation of people},
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@article{iyer2025mesh2ssm++,
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@article{bastian2023disguisor,
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@misc{dwave_website,
  author       = {{D-Wave Quantum Inc.}},
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