% Key papers for Optimization-based shape matching (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2016_gift_11567,
  title = {{GIFT: A Real-Time and Scalable 3D Shape Search Engine}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2020_smooth_16258,
  title = {{Smooth Shells: Multi-Scale Shape Registration With Functional Maps}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2019_deep_14038,
  title = {{Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{neurips2020_ucsg_61021,
  title = {{UCSG-NET- Unsupervised Discovering of Constructive Solid Geometry Tree}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17912},
}

@inproceedings{cvpr2016_efficient_11512,
  title = {{Efficient Globally Optimal 2D-To-3D Deformable Shape Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2017_can_12103,
  title = {{Can Walking and Measuring Along Chord Bunches Better Describe Leaf Shapes?}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2021_isometric_17213,
  title = {{Isometric Multi-Shape Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2021_oral_1125,
  title = {{Oral-3D: Reconstructing the 3D Structure of Oral Cavity from Panoramic X-ray}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/00566-oral-3d-reconstructing-the-3d-structure-of-oral-cavity-from-panoramic-x-ray/},
}

@inproceedings{cvpr2022_a_18210,
  title = {{A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2019_isospectralization_14336,
  title = {{Isospectralization, or How to Hear Shape, Style, and Correspondence}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2016_shape_11856,
  title = {{Shape Analysis With Hyperbolic Wasserstein Distance}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2019_a_13788,
  title = {{A Robust Local Spectral Descriptor for Matching Non-Rigid Shapes With Incompatible Shape Structures}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_efficient_16932,
  title = {{Efficient Deformable Shape Correspondence via Multiscale Spectral Manifold Wavelets Preservation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2024_spectral_24869,
  title = {{Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29924},
}

@inproceedings{cvpr2024_category_22954,
  title = {{Category-Level Multi-Part Multi-Joint 3D Shape Assembly}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31328},
}

@inproceedings{cvpr2024_hybrid_23729,
  title = {{Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31441},
}

@inproceedings{cvpr2017_a_12000,
  title = {{A Combinatorial Solution to Non-Rigid 3D Shape-To-Image Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2023_fantastic_20972,
  title = {{Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21295},
}

@inproceedings{neurips2022_learning_63778,
  title = {{Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55347},
}

@inproceedings{neurips2019_a_57796,
  title = {{A Condition Number for Joint Optimization of Cycle-Consistent Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14489},
}

@inproceedings{cvpr2024_partial_24441,
  title = {{Partial-to-Partial Shape Matching with Geometric Consistency}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30102},
}

@inproceedings{cvpr2024_spidermatch_24874,
  title = {{SpiderMatch: 3D Shape Matching with Global Optimality and Geometric Consistency}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29277},
}

@inproceedings{cvpr2025_echomatch_26074,
  title = {{EchoMatch: Partial-to-Partial Shape Matching via Correspondence Reflection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32919},
}

@inproceedings{cvpr2024_looking_24030,
  title = {{Looking 3D: Anomaly Detection with 2D-3D Alignment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31190},
}

@inproceedings{cvpr2025_stable_27742,
  title = {{Stable-SCore: A Stable Registration-based Framework for 3D Shape Correspondence}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34911},
}

@inproceedings{cvpr2024_kp_23860,
  title = {{KP-RED: Exploiting Semantic Keypoints for Joint 3D Shape Retrieval and Deformation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31584},
}

@inproceedings{cvpr2024_spectrum_24871,
  title = {{Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29595},
}

@inproceedings{aaai2025_multi_10032,
  title = {{Multi-Shape Matching with Cycle Consistency Basis via Functional Maps}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32926},
}

@inproceedings{neurips2025_template_78217,
  title = {{Template-Guided 3D Molecular Pose Generation via Flow Matching and Differentiable Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=cIYguQc97T},
}

@inproceedings{aaai2026_bridgeshape_101192,
  title = {{BridgeShape: Latent Diffusion Schrödinger Bridge for 3D Shape Completion}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37493},
}

@inproceedings{aaai2026_unsupervised_104179,
  title = {{Unsupervised Contrastive Learning for Efficient and Robust Spectral Shape Matching}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37708},
}

@inproceedings{aaai2026_dcmatch_105312,
  title = {{DcMatch: Unsupervised Multi-Shape Matching with Dual-Level Consistency}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38184},
}

@inproceedings{iclr2024_gencorres_34806,
  title = {{GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18268},
}

@inproceedings{icml2025_symmetry_48739,
  title = {{Symmetry-Robust 3D Orientation Estimation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43883},
}

@inproceedings{neurips2024_hope_70251,
  title = {{HOPE: Shape Matching Via Aligning Different K-hop Neighbourhoods}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96838},
}

@inproceedings{cvpr2026_ri_95812,
  title = {{RI-Mamba: Rotation-Invariant Mamba for Robust Text-to-Shape Retrieval}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Nguyen_RI-Mamba_Rotation-Invariant_Mamba_for_Robust_Text-to-Shape_Retrieval_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_from_96948,
  title = {{From Feature Learning to Spectral Basis Learning: A Unifying and Flexible Framework for Efficient and Robust Shape Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Luo_From_Feature_Learning_to_Spectral_Basis_Learning_A_Unifying_and_CVPR_2026_paper.html},
}