% Key papers for Point cloud upsampling and normals (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2018_pu_13453,
  title = {{PU-Net: Point Cloud Upsampling Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Yu_PU-Net_Point_Cloud_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_patch_14631,
  title = {{Patch-Based Progressive 3D Point Set Upsampling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_supervised_14886,
  title = {{Supervised Fitting of Geometric Primitives to 3D Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_point_17616,
  title = {{Point Cloud Upsampling via Disentangled Refinement}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2023_grad_21096,
  title = {{Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent With Learned Distance Functions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22516},
}

@inproceedings{cvpr2022_neural_19440,
  title = {{Neural Points: Point Cloud Representation With Neural Fields for Arbitrary Upsampling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_pc2_21801,
  title = {{PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21401},
}

@inproceedings{cvpr2020_deep_15362,
  title = {{Deep Iterative Surface Normal Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_self_19816,
  title = {{Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2019_capnet_103510,
  title = {{CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4908},
}

@inproceedings{cvpr2023_iterativepfn_21285,
  title = {{IterativePFN: True Iterative Point Cloud Filtering}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22256},
}

@inproceedings{cvpr2020_geometry_15603,
  title = {{Geometry and Learning Co-Supported Normal Estimation for Unstructured Point Cloud}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2017_scalable_12603,
  title = {{Scalable Surface Reconstruction From Point Clouds With Extreme Scale and Density Diversity}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2024_a_22645,
  title = {{A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31037},
}

@inproceedings{neurips2016_sorting_55998,
  title = {{Sorting out typicality with the inverse moment matrix SOS polynomial}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/6928},
}

@inproceedings{cvpr2023_shs_22099,
  title = {{SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23147},
}

@inproceedings{cvpr2024_repkpu_24617,
  title = {{RepKPU: Point Cloud Upsampling with Kernel Point Representation and Deformation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30835},
}

@inproceedings{aaai2024_learning_6442,
  title = {{Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28102},
}

@inproceedings{cvpr2023_rethinking_22052,
  title = {{Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22638},
}

@inproceedings{cvpr2018_reflection_13518,
  title = {{Reflection Removal for Large-Scale 3D Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Yun_Reflection_Removal_for_CVPR_2018_paper.html},
}

@inproceedings{cvpr2024_straightpcf_24893,
  title = {{StraightPCF: Straight Point Cloud Filtering}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30150},
}

@inproceedings{aaai2025_3dmambaipf_7870,
  title = {{3DMambaIPF: A State Space Model for Iterative Point Cloud Filtering via Differentiable Rendering}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33178},
}

@inproceedings{cvpr2024_spu_24727,
  title = {{SPU-PMD: Self-Supervised Point Cloud Upsampling via Progressive Mesh Deformation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31393},
}

@inproceedings{aaai2024_cmg_5350,
  title = {{CMG-Net: Robust Normal Estimation for Point Clouds via Chamfer Normal Distance and Multi-Scale Geometry}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28434},
}

@inproceedings{aaai2024_arbitrary_5205,
  title = {{Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27929},
}

@inproceedings{cvpr2025_samble_27499,
  title = {{SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34187},
}

@inproceedings{aaai2024_point_6958,
  title = {{Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28547},
}

@inproceedings{aaai2025_you_11314,
  title = {{You Should Learn to Stop Denoising on Point Clouds in Advance}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32331},
}

@inproceedings{cvpr2025_high_26517,
  title = {{High-Fidelity Lightweight Mesh Reconstruction from Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34569},
}

@inproceedings{cvpr2025_crosssdf_25802,
  title = {{CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32528},
}

@inproceedings{cvpr2025_point_27266,
  title = {{Point Cloud Upsampling Using Conditional Diffusion Module with Adaptive Noise Suppression}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34250},
}

@inproceedings{aaai2026_pufm_104156,
  title = {{PUFM: Efficient Point Cloud Upsampling via Flow Matching}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37685},
}

@inproceedings{cvpr2025_consistent_25768,
  title = {{Consistent Normal Orientation for 3D Point Clouds via Least Squares on Delaunay Graph}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32436},
}

@inproceedings{cvpr2025_edgemovingnet_26081,
  title = {{EdgeMovingNet: Edge-preserving Point Cloud Reconstruction via Joint Geometry Features}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32525},
}

@inproceedings{aaai2025_hyperbolic_9477,
  title = {{Hyperbolic-Constraint Point Cloud Reconstruction from Single RGB-D Images}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32525},
}

@inproceedings{aaai2026_guiding_100697,
  title = {{Guiding Point Cloud Denoising with Learned Structural Priors}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/42437},
}

@inproceedings{aaai2025_platypus_10245,
  title = {{PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32445},
}