% Key papers for Non-rigid point set registration (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2020_rpm_16086,
  title = {{RPM-Net: Robust Point Matching Using Learned Features}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_3dregnet_15055,
  title = {{3DRegNet: A Deep Neural Network for 3D Point Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_lepard_19244,
  title = {{Lepard: Learning Partial Point Cloud Matching in Rigid and Deformable Scenes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_rotation_22083,
  title = {{Rotation-Invariant Transformer for Point Cloud Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23053},
}

@inproceedings{cvpr2019_filterreg_14215,
  title = {{FilterReg: Robust and Efficient Probabilistic Point-Set Registration Using Gaussian Filter and Twist Parameterization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2017_convex_12128,
  title = {{Convex Global 3D Registration With Lagrangian Duality}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2019_deepmapping_14055,
  title = {{DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{aaai2017_non_103916,
  title = {{Non-Rigid Point Set Registration with Robust Transformation Estimation under Manifold Regularization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11195},
}

@inproceedings{cvpr2019_multiview_14555,
  title = {{Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_locally_17363,
  title = {{Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2018_density_13005,
  title = {{Density Adaptive Point Set Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Lawin_Density_Adaptive_Point_CVPR_2018_paper.html},
}

@inproceedings{cvpr2016_gravitational_11579,
  title = {{Gravitational Approach for Point Set Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2017_efficient_12233,
  title = {{Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2016_a_11374,
  title = {{A Probabilistic Framework for Color-Based Point Set Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2023_deep_20743,
  title = {{Deep Graph-Based Spatial Consistency for Robust Non-Rigid Point Cloud Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22344},
}

@inproceedings{cvpr2020_global_15606,
  title = {{Global Optimality for Point Set Registration Using Semidefinite Programming}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_coherent_18479,
  title = {{Coherent Point Drift Revisited for Non-Rigid Shape Matching and Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2016_context_11447,
  title = {{Context-Aware Gaussian Fields for Non-Rigid Point Set Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2022_deterministic_18657,
  title = {{Deterministic Point Cloud Registration via Novel Transformation Decomposition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2018_inverse_13236,
  title = {{Inverse Composition Discriminative Optimization for Point Cloud Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Vongkulbhisal_Inverse_Composition_Discriminative_CVPR_2018_paper.html},
}

@inproceedings{cvpr2024_scalable_24740,
  title = {{Scalable 3D Registration via Truncated Entry-wise Absolute Residuals}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31883},
}

@inproceedings{cvpr2024_multiway_24235,
  title = {{Multiway Point Cloud Mosaicking with Diffusion and Global Optimization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31705},
}

@inproceedings{cvpr2024_coupled_23056,
  title = {{Coupled Laplacian Eigenmaps for Locally-Aware 3D Rigid Point Cloud Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29707},
}

@inproceedings{aaai2025_gricp_9290,
  title = {{GRICP: Granular-Ball Iterative Closest Point with Multikernel Correntropy for Point Cloud Fine Registration}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32164},
}

@inproceedings{aaai2025_where_11298,
  title = {{Where Precision Meets Efficiency: Transformation Diffusion Model for Point Cloud Registration}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33055},
}

@inproceedings{cvpr2025_practical_27290,
  title = {{Practical Solutions to the Relative Pose of Three Calibrated Cameras}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34339},
}

@inproceedings{cvpr2026_generalized_95763,
  title = {{Generalized-CVO: Fast and Correspondence-Free Local Point Cloud Registration with Second Order Riemannian Optimization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Zhang_Generalized-CVO_Fast_and_Correspondence-Free_Local_Point_Cloud_Registration_with_Second_CVPR_2026_paper.html},
}

@inproceedings{icml2026_rggt_52953,
  title = {{RGGT: A Generative-Prior-Guided Transformer for Unified Rigid and Non-Rigid Point Cloud Registration}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=aZWB7XzT6n},
}

@inproceedings{neurips2026_pi_93177,
  title = {{\$pi^2\$: A Simple Framework for 2D-to-3D Registration}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/148690},
}