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

@inproceedings{cvpr2017_a_12024,
  title = {{A Point Set Generation Network for 3D Object Reconstruction From a Single Image}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{icml2018_learning_36800,
  title = {{Learning Representations and Generative Models for 3D Point Clouds}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/1917},
}

@inproceedings{aaai2018_learning_104019,
  title = {{Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/12278},
}

@inproceedings{cvpr2022_surface_19962,
  title = {{Surface Representation for Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2019_partnet_14628,
  title = {{PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_shape2motion_14818,
  title = {{Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_a_13791,
  title = {{A Skeleton-Bridged Deep Learning Approach for Generating Meshes of Complex Topologies From Single RGB Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_corrnet3d_16758,
  title = {{CorrNet3D: Unsupervised End-to-End Learning of Dense Correspondence for 3D Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_rfd_17761,
  title = {{RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_point2skeleton_17617,
  title = {{Point2Skeleton: Learning Skeletal Representations from Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_ssrnet_16169,
  title = {{SSRNet: Scalable 3D Surface Reconstruction Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_pointgmm_16044,
  title = {{PointGMM: A Neural GMM Network for Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2019_led3d_14459,
  title = {{Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-Quality 3D Faces}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2022_point2cyl_19595,
  title = {{Point2Cyl: Reverse Engineering 3D Objects From Point Clouds to Extrusion Cylinders}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2020_learning_60160,
  title = {{Learning Deformable Tetrahedral Meshes for 3D Reconstruction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17071},
}

@inproceedings{cvpr2021_learning_17271,
  title = {{Learning Delaunay Surface Elements for Mesh Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_shape_16232,
  title = {{Shape Reconstruction by Learning Differentiable Surface Representations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_unsupervised_16421,
  title = {{Unsupervised Learning of Intrinsic Structural Representation Points}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_robust_19761,
  title = {{Robust and Accurate Superquadric Recovery: A Probabilistic Approach}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2020_pfcnn_16008,
  title = {{PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2024_point2cad_24482,
  title = {{Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29886},
}

@inproceedings{cvpr2025_spar3d_27539,
  title = {{SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34544},
}

@inproceedings{cvpr2024_motion2vecsets_24194,
  title = {{Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30837},
}

@inproceedings{aaai2024_locality_6541,
  title = {{Locality Preserving Refinement for Shape Matching with Functional Maps}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28438},
}

@inproceedings{cvpr2024_unsupervised_25170,
  title = {{Unsupervised Template-assisted Point Cloud Shape Correspondence Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31454},
}

@inproceedings{cvpr2024_ditto_23089,
  title = {{DITTO: Dual and Integrated Latent Topologies for Implicit 3D Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29384},
}

@inproceedings{cvpr2024_ipod_23747,
  title = {{IPoD: Implicit Field Learning with Point Diffusion for Generalizable 3D Object Reconstruction from Single RGB-D Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30565},
}

@inproceedings{cvpr2025_4deform_25348,
  title = {{4Deform: Neural Surface Deformation for Robust Shape Interpolation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34436},
}

@inproceedings{cvpr2024_learning_23966,
  title = {{Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31663},
}

@inproceedings{iclr2024_point2ssm_33952,
  title = {{Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19123},
}

@inproceedings{neurips2024_multi_71166,
  title = {{Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded Images}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96061},
}

@inproceedings{iclr2025_duoduo_83103,
  title = {{Duoduo CLIP: Efficient 3D Understanding with Multi-View Images}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28703},
}

@inproceedings{aaai2025_diffcorr_8725,
  title = {{DiffCorr: Conditional Diffusion Model with Reliable Pseudo-Label Guidance for Unsupervised Point Cloud Shape Correspondence}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32273},
}

@inproceedings{neurips2025_cage_77333,
  title = {{CAGE: Continuity-Aware edGE Network Unlocks Robust Floorplan Reconstruction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=ShJ80Yu12r},
}

@inproceedings{iclr2025_occlusion_82767,
  title = {{Occlusion-aware Non-Rigid Point Cloud Registration via Unsupervised Neural Deformation Correntropy}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29032},
}

@inproceedings{aaai2026_vggtface_104225,
  title = {{VGGTFace: Topologically Consistent Facial Geometry Reconstruction in the Wild}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37754},
}

@inproceedings{aaai2025_adaptive_8043,
  title = {{Adaptive Siamese Masked Autoencoder with Global Optimization for Unsupervised Point Cloud Shape Correspondence}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32274},
}

@inproceedings{aaai2025_lpcg_9687,
  title = {{LPCG: A Self-conditional Architecture for Labeled Point Cloud Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32378},
}

@inproceedings{iclr2024_diffeomorphic_34951,
  title = {{Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18123},
}

@inproceedings{icml2024_make_43617,
  title = {{Make-A-Shape: a Ten-Million-scale 3D Shape Model}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34835},
}