% Key papers for Scene flow and dynamic point clouds (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2022_point_19593,
  title = {{Point-NeRF: Point-Based Neural Radiance Fields}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2019_flownet3d_14219,
  title = {{FlowNet3D: Learning Scene Flow in 3D Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_hplflownet_14273,
  title = {{HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_point_17614,
  title = {{Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2022_octattention_2485,
  title = {{OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/00625-octattention-octree-based-large-scale-contexts-model-for-point-cloud-compression/},
}

@inproceedings{cvpr2021_voxelcontext_18135,
  title = {{VoxelContext-Net: An Octree Based Framework for Point Cloud Compression}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_tpcn_17972,
  title = {{TPCN: Temporal Point Cloud Networks for Motion Forecasting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_p2b_16004,
  title = {{P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2019_pointflownet_14651,
  title = {{PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_end_15475,
  title = {{End-to-End Learning Local Multi-View Descriptors for 3D Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_pttr_19547,
  title = {{PTTR: Relational 3D Point Cloud Object Tracking With Transformer}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_no_19456,
  title = {{No-Reference Point Cloud Quality Assessment via Domain Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2021_pv_17571,
  title = {{PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_c_15218,
  title = {{C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_density_18647,
  title = {{Density-Preserving Deep Point Cloud Compression}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2020_neural_15945,
  title = {{Neural Point Cloud Rendering via Multi-Plane Projection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_self_17856,
  title = {{Self-Supervised Pillar Motion Learning for Autonomous Driving}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2023_efficient_20887,
  title = {{Efficient Hierarchical Entropy Model for Learned Point Cloud Compression}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21157},
}

@inproceedings{cvpr2022_3dac_18186,
  title = {{3DAC: Learning Attribute Compression for Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2024_visual_25250,
  title = {{Visual Point Cloud Forecasting enables Scalable Autonomous Driving}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29545},
}

@inproceedings{aaai2024_fast_5972,
  title = {{Fast Inter-frame Motion Prediction for Compressed Dynamic Point Cloud Attribute Enhancement}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28162},
}

@inproceedings{aaai2025_unipcgc_11155,
  title = {{UniPCGC: Towards Practical Point Cloud Geometry Compression via an Efficient Unified Approach}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33387},
}

@inproceedings{aaai2025_adadpcc_8016,
  title = {{AdaDPCC: Adaptive Rate Control and Rate-Distortion-Complexity Optimization for Dynamic Point Cloud Compression}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33439},
}

@inproceedings{cvpr2025_mamba4d_26911,
  title = {{Mamba4D: Efficient 4D Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34381},
}

@inproceedings{aaai2025_pointtalk_10320,
  title = {{PointTalk: Audio-Driven Dynamic Lip Point Cloud for 3D Gaussian-based Talking Head Synthesis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32946},
}

@inproceedings{cvpr2025_topnet_27884,
  title = {{TopNet: Transformer-Efficient Occupancy Prediction Network for Octree-Structured Point Cloud Geometry Compression}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33752},
}

@inproceedings{aaai2024_patchdpcc_7854,
  title = {{patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28238},
}

@inproceedings{aaai2024_depth_5671,
  title = {{Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27968},
}

@inproceedings{aaai2024_semantic_7301,
  title = {{Semantic Complete Scene Forecasting from a 4D Dynamic Point Cloud Sequence}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28400},
}

@inproceedings{aaai2025_gaussianpainter_9304,
  title = {{GaussianPainter: Painting Point Cloud into 3D Gaussians with Normal Guidance}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33172},
}

@inproceedings{cvpr2024_self_24784,
  title = {{Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31678},
}

@inproceedings{cvpr2025_leangaussian_26730,
  title = {{LeanGaussian: Breaking Pixel or Point Cloud Correspondence in Modeling 3D Gaussians}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35196},
}

@inproceedings{cvpr2024_papr_24395,
  title = {{PAPR in Motion: Seamless Point-level 3D Scene Interpolation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30125},
}

@inproceedings{neurips2024_learning_71770,
  title = {{Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95520},
}

@inproceedings{neurips2024_unlearnable_72255,
  title = {{Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95089},
}

@inproceedings{aaai2026_deepraht_106186,
  title = {{DeepRAHT: Learning Predictive RAHT for Point Cloud Attribute Compression}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38493},
}

@inproceedings{aaai2024_scene_7270,
  title = {{Scene Flow Prior Based Point Cloud Completion with Masked Transformer (Student Abstract)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30434},
}

@inproceedings{aaai2025_flowmamba_9211,
  title = {{FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32560},
}

@inproceedings{cvpr2025_sparse_27710,
  title = {{Sparse Point Cloud Patches Rendering via Splitting 2D Gaussians}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33554},
}