% Key papers for LiDAR point cloud compression and completion (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{cvpr2020_lidarsim_15835, title = {{LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2020_octsqueeze_15969, title = {{OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2019_dense_14066, title = {{Dense Depth Posterior (DDP) From Single Image and Sparse Range}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2023_lidargait_21439, title = {{LidarGait: Benchmarking 3D Gait Recognition With Point Clouds}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/21700}, } @inproceedings{cvpr2022_beyond_18356, title = {{Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2021_pwclo_17573, title = {{PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2023_depth_20772, title = {{Depth Estimation From Camera Image and mmWave Radar Point Cloud}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/22338}, } @inproceedings{cvpr2023_learning_21352, title = {{Learning Compact Representations for LiDAR Completion and Generation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/22264}, } @inproceedings{aaai2023_translo_4869, title = {{TransLO: A Window-Based Masked Point Transformer Framework for Large-Scale LiDAR Odometry}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2023}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/25256}, } @inproceedings{cvpr2016_removing_11814, title = {{Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix Completion}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2016}, } @inproceedings{aaai2021_pointinet_1173, title = {{PointINet: Point Cloud Frame Interpolation Network}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/02251-pointinet-point-cloud-frame-interpolation-network/}, } @inproceedings{cvpr2022_riddle_19663, title = {{RIDDLE: Lidar Data Compression With Range Image Deep Delta Encoding}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2024_transloc4d_25078, title = {{TransLoc4D: Transformer-based 4D Radar Place Recognition}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31367}, } @inproceedings{cvpr2024_tulip_24949, title = {{TULIP: Transformer for Upsampling of LiDAR Point Clouds}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29364}, } @inproceedings{cvpr2024_lidar_24003, title = {{LiDAR-Net: A Real-scanned 3D Point Cloud Dataset for Indoor Scenes}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31249}, } @inproceedings{cvpr2024_lidar4d_24005, title = {{LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31389}, } @inproceedings{cvpr2025_reno_27356, title = {{RENO: Real-Time Neural Compression for 3D LiDAR Point Clouds}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/32420}, } @inproceedings{aaai2024_scp_7210, title = {{SCP: Spherical-Coordinate-Based Learned Point Cloud Compression}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28188}, } @inproceedings{aaai2020_airnet_100291, title = {{AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/5464}, } @inproceedings{cvpr2024_geoauxnet_23621, title = {{GeoAuxNet: Towards Universal 3D Representation Learning for Multi-sensor Point Clouds}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29432}, } @inproceedings{cvpr2025_bwformer_25563, title = {{BWFormer: Building Wireframe Reconstruction from Airborne LiDAR Point Cloud with Transformer}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/32868}, } @inproceedings{aaai2024_mslpcc_7852, title = {{msLPCC: A Multimodal-Driven Scalable Framework for Deep LiDAR Point Cloud Compression}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28362}, } @inproceedings{cvpr2024_3dsflabelling_22632, title = {{3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-labelling}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30780}, } @inproceedings{aaai2024_modeling_6664, title = {{Modeling Continuous Motion for 3D Point Cloud Object Tracking}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28196}, } @inproceedings{aaai2024_deeppointmap_5654, title = {{DeepPointMap: Advancing LiDAR SLAM with Unified Neural Descriptors}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28909}, } @inproceedings{cvpr2025_forestlpr_26302, title = {{ForestLPR: LiDAR Place Recognition in Forests Attentioning Multiple BEV Density Images}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34916}, } @inproceedings{cvpr2025_weathergen_28150, title = {{WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34229}, } @inproceedings{cvpr2024_flexible_23484, title = {{Flexible Depth Completion for Sparse and Varying Point Densities}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31507}, } @inproceedings{neurips2024_allclear_73984, title = {{AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/97502}, } @inproceedings{cvpr2025_dio_25827, title = {{DIO: Decomposable Implicit 4D Occupancy-Flow World Model}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/32842}, } @inproceedings{cvpr2025_hotformerloc_26477, title = {{HOTFormerLoc: Hierarchical Octree Transformer for Versatile Lidar Place Recognition Across Ground and Aerial Views}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34463}, } @inproceedings{aaai2025_pre_10342, title = {{Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32169}, } @inproceedings{cvpr2024_glidr_23552, title = {{GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29516}, }