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

@inproceedings{cvpr2022_point_19591,
  title = {{Point-BERT: Pre-Training 3D Point Cloud Transformers With Masked Point Modeling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_learning_21338,
  title = {{Learning 3D Representations From 2D Pre-Trained Models via Image-to-Point Masked Autoencoders}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23023},
}

@inproceedings{neurips2022_point_64719,
  title = {{Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55416},
}

@inproceedings{cvpr2023_gd_21039,
  title = {{GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22141},
}

@inproceedings{neurips2018_representer_57574,
  title = {{Representer Point Selection for Explaining Deep Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11885},
}

@inproceedings{cvpr2023_geomae_21082,
  title = {{GeoMAE: Masked Geometric Target Prediction for Self-Supervised Point Cloud Pre-Training}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21787},
}

@inproceedings{cvpr2021_tearingnet_17982,
  title = {{TearingNet: Point Cloud Autoencoder To Learn Topology-Friendly Representations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2024_towards_7582,
  title = {{Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28522},
}

@inproceedings{cvpr2023_pointcmp_21882,
  title = {{PointCMP: Contrastive Mask Prediction for Self-Supervised Learning on Point Cloud Videos}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21955},
}

@inproceedings{aaai2023_contrastive_3332,
  title = {{Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26170},
}

@inproceedings{cvpr2024_general_23592,
  title = {{General Point Model Pretraining with Autoencoding and Autoregressive}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31606},
}

@inproceedings{cvpr2025_spectral_27723,
  title = {{Spectral Informed Mamba for Robust Point Cloud Processing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33010},
}

@inproceedings{aaai2025_ri_10447,
  title = {{RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32753},
}

@inproceedings{neurips2024_pcp_73425,
  title = {{PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94036},
}

@inproceedings{iclr2024_3d_34226,
  title = {{3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18849},
}

@inproceedings{neurips2024_lcm_71390,
  title = {{LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95860},
}

@inproceedings{aaai2026_point_104837,
  title = {{Point-SRA: Self-Representation Alignment for 3D Representation Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38026},
}

@inproceedings{neurips2025_asymmetric_75639,
  title = {{Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=ANl9HuwIMs},
}

@inproceedings{neurips2025_point_79742,
  title = {{Point-MaDi: Masked Autoencoding with Diffusion for Point Cloud Pre-training}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=sYeE1obXGG},
}

@inproceedings{aaai2026_reliable_101170,
  title = {{Reliable-View 2D-3D Key-Part Aligned Transformer with Reinforced Masking for 3D Point Cloud Understanding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37471},
}

@inproceedings{aaai2025_nach0_11338,
  title = {{nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34613},
}

@inproceedings{neurips2026_sieve_95397,
  title = {{SIEVE: Overcoming Topological Obstruction in Equivariant Self-Supervised Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/150328},
}