Point Cloud Learning

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Overview

Point cloud learning studies how to extract shape, spatial relationships, and motion from unordered, irregular 3D samples that may be sparse, noisy, or incomplete. Methods range from point and graph networks to sparse convolutions, transformers, state-space models, and geometrically equivariant architectures; self-supervised and multimodal pretraining aim to make their representations useful across tasks and sensors. Applications include classification, segmentation, reconstruction, registration, tracking, robotics, and 4D motion understanding, with benchmarks spanning objects, indoor scenes, and large-scale LiDAR. A central challenge is balancing accuracy and transfer across changes in density, viewpoint, and sensor with the memory, computation, and data needed for practical deployment.

Latest papers

CardsList

159 papers14 papers in the last four weeks, down 12% on the four weeks before. 0.1% of all new papers.

  1. Revisiting Radar Perception With Spectral Point Clouds

    Apr 9, 2026Hamza Alsharif, Jing Gu, Pavol Jancura +2Millimeter-Wave RadarAutonomous Driving Perception

    Eindhoven University of Technology · NXP Semiconductors

  2. AvatarPointillist: AutoRegressive 4D Gaussian Avatarization

    Apr 6, 2026Hongyu Liu, Xuan Wang, Zijian Wu +73D Avatar GenerationHuman Avatar Animation

    HKUST · Ant Group · City University of Hong Kong

  3. A Clinical Point Cloud Paradigm for In-Hospital Mortality Prediction from Multi-Level Incomplete Multimodal EHRs

    Apr 6, 2026Bohao Li, Tao Zou, Junchen Ye +2Electronic Health RecordsClinical Risk Prediction

    Beihang University, Beijing, China · The Hong Kong Polytechnic University, Hong Kong, China

  4. A Persistent Homology Design Space for 3D Point Cloud Deep Learning

    Apr 5, 2026Prachi Kudeshia, Jiju Poovvancheri, Amr Ghoneim +1Persistent HomologyTopological Representation Learning

    Saint Mary’s University, Halifax, Canada · Nanjing Forestry University, China

  5. Deformation-based In-Context Learning for Point Cloud Understanding

    Apr 3, 2026Chengxing Lin, Jinhong Deng, Yinjie Lei +1Point Cloud DenoisingPoint Cloud Learning

    Shenzhen Institute for Advanced Study, UESTC · School of Computer Science and Engineering, UESTC · Sichuan University

  6. Sparkle: A Robust and Versatile Representation for Point Cloud based Human Motion Capture

    Apr 1, 2026Yiming Ren, Yujing Sun, Aoru Xue +2Motion Representation LearningMarkerless Motion Capture

    ShanghaiTech University, China · Digital Trust Centre, Nanyang Technological University, Singapore

  7. Neural Reconstruction of LiDAR Point Clouds under Jamming Attacks via Full-Waveform Representation and Simultaneous Laser Sensing

    Apr 1, 2026Ryo Yoshida, Takami Sato, Wenlun Zhang +7Point Cloud LearningPoint Cloud Surface Reconstruction

    Keio University, Yokohama, Japan · Sony Semiconductor Solutions, Atsugi, Japan · Hainan University, Haikou, China

  8. Towards Emotion Recognition with 3D Pointclouds Obtained from Facial Expression Images

    Mar 29, 2026Laura Rayón Ropero, Jasper De Laet, Filip Lemic +6Facial Expression RecognitionPoint Cloud Learning

    imec, Belgium · ICREA, Spain

  9. Towards Foundation Models for 3D Scene Understanding: Instance-Aware Self-Supervised Learning for Point Clouds

    Mar 26, 2026Bin Yang, Mohamed Abdelsamad, Miao Zhang +1Self-Supervised Point Cloud LearningPoint Cloud Learning

    Bosch Center for AI, Stuttgart, Germany · Institute for Neuro- and Bioinformatics, University of Lübeck, Lübeck, Germany · Robert Learning Lab, University of Freiburg, Freiburg, Germany

  10. PointRFT: Explicit Reinforcement Fine-tuning for Point Cloud Few-shot Learning

    Mar 25, 2026Yankai Wang, Yiding Sun, Qirui Wang +3Point Cloud LearningRL Fine-Tuning

    School of Software Engineering, Xi’an Jiaotong University, Xi’an 710048, China · International School, Beijing University of Posts and Telecommunications, Beijing 100876, China

  11. An Adapter-free Fine-tuning Approach for Tuning 3D Foundation Models

    Mar 24, 2026Sneha Paul, Zachary Patterson, Nizar BouguilaFine-Tuning3D Foundation Models

    Concordia University, Montreal, Canada

  12. Mamba Learns in Context: Structure-Aware Domain Generalization for Multi-Task Point Cloud Understanding

    Mar 21, 2026Jincen Jiang, Qianyu Zhou, Yuhang Li +5Point Cloud DenoisingPoint Cloud Learning

    Bournemouth University · Jilin University · The University of Western Australia +2

  13. LIORNet: Self-Supervised LiDAR Snow Removal Framework for Autonomous Driving under Adverse Weather Conditions

    Mar 20, 2026Ji-il Park, Inwook ShimPoint Cloud DenoisingAutonomous Driving Perception

    Ministry of National Defense, 22, Itaewon-ro, Yongsan-gu, Seoul, Republic of Korea. · Department of Smart Mobility Engineering, Inha University, Republic of Korea.

  14. Learning Coordinate-based Convolutional Kernels for Continuous SE(3) Equivariant and Efficient Point Cloud Analysis

    Mar 18, 2026Jaein Kim, Hee Bin Yoo, Dong-Sig Han +1Equivariant Neural NetworksPoint Cloud Learning

    Interdisciplinary Program in Neuroscience, Seoul National University · Département d’Informatique, École Normale Supérieure (ENS) · Department of Computing, Imperial College London +1

  15. Learning Human-Object Interaction for 3D Human Pose Estimation from LiDAR Point Clouds

    Mar 17, 2026Daniel Sungho Jung, Dohee Cho, Kyoung Mu Lee3D Human Pose EstimationPoint Cloud Learning

    IPAI · Dept. of ECE&ASRI, Seoul National University

  16. GATS: Gaussian Aware Temporal Scaling Transformer for Invariant 4D Spatio-Temporal Point Cloud Representation

    Mar 17, 2026Jiayi Tian, Jiaze WangPoint Cloud LearningInvariant Representation Learning

    State Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University · Harbin Institute of Technology, Shenzhen, Pengcheng Laboratory

  17. Voronoi-based Second-order Descriptor with Whitened Metric in LiDAR Place Recognition

    Mar 16, 2026Jaein Kim, Hee Bin Yoo, Dong-Sig Han +1Feature WhiteningLiDAR Place Recognition

    Interdisciplinary Program in Neuroscience, Seoul National University · Département d’Informatique, École Normale Supérieure (ENS) · Department of Computing, Imperial College London +1

  18. In-Field 3D Wheat Head Instance Segmentation From TLS Point Clouds Using Deep Learning Without Manual Labels

    Mar 15, 2026Tomislav Medic, Liangliang NanInstance Segmentation3D Instance Segmentation

    Institute of Geodesy and Photogrammetry, ETH Zurich, Zurich, Switzerland · Urban Data Science Section, Delft University of Technology, Delft, Netherlands

  19. IGASA: Integrated Geometry-Aware and Skip-Attention Modules for Enhanced Point Cloud Registration

    Mar 13, 2026Dongxu Zhang, Jihua Zhu, Shiqi Li +4Point Cloud RegistrationPoint Cloud Learning

  20. Pointy - A Lightweight Transformer for Point Cloud Foundation Models

    Mar 11, 2026Konrad Szafer, Marek Kraft, Dominik BelterPoint Cloud Learning3D Foundation Models

    Institute of Robotics and Machine Intelligence, Poznan University of Technology

  21. DRIFT: Dual-Representation Inter-Fusion Transformer for Automated Driving Perception with 4D Radar Point Clouds

    Mar 10, 2026Siqi Pei, Andras Palffy, Dariu M. GavrilaAutonomous Driving Perception3D Object Detection

    Delft University of Technology, Delft, The Netherlands · Perciv AI, Delft, The Netherlands

  22. Point Cloud as a Foreign Language for Multi-modal Large Language Model

    Mar 10, 2026Sneha Paul, Zachary Patterson, Nizar Bouguila3D VLMsPoint Cloud Learning

    Concordia University, Canada

  23. mmGAT: Pose Estimation by Graph Attention with Mutual Features from mmWave Radar Point Cloud

    Mar 9, 2026Abdullah Al Masud, Shi Xintong, Mondher Bouazizi +1Human Pose Estimation3D Human Pose Estimation

    Graduate School of Science and Technology, Keio University, Kanagawa, 223-8522, Japan · Faculty of Science and Technology, Keio University, Kanagawa, 223-8522, Japan

  24. PCFEx: Point Cloud Feature Extraction for Graph Neural Networks

    Mar 9, 2026Abdullah Al Masud, Shi Xintong, Mondher Bouazizi +1Point Cloud Learning3D Human Pose Estimation

    Graduate School of Science and Technology, Keio University, Kanagawa, 223-8522, Japan · Faculty of Science and Technology, Keio University Kanagawa, 223-8522, Japan

  25. SLNet: A Super-Lightweight Geometry-Adaptive Network for 3D Point Cloud Recognition

    Mar 8, 2026Mohammad Saeid, Amir Salarpour, Pedram MohajerAnsari +1Point Cloud LearningPoint Cloud Classification

    Sirjan University of Technology, Sirjan, Iran · Clemson University, Clemson, SC, USA

  26. P-SLCR: Unsupervised Point Cloud Semantic Segmentation via Prototypes Structure Learning and Consistent Reasoning

    Mar 6, 2026Lixin Zhan, Jie Jiang, Tianjian Zhou +33D Point Cloud Segmentation3D Semantic Segmentation

    College of Systems Engineering, National University of Defense Technology · Laboratory for Big Data and Decision, National University of Defense Technology

  27. Efficient Point Cloud Processing with High-Dimensional Positional Encoding and Non-Local MLPs

    Mar 4, 2026Yanmei Zou, Hongshan Yu, Yaonan Wang +4Point Cloud LearningPoint Cloud Classification

    the School of Artificial Intelligence and Robotics, Quanzhou Institute of Industrial Design and Machine Intelligence Innovation, Hunan University, Changsha 410082, China. · the College of Engineering and Design, Hunan Normal University, Changsha 410081, China. · the College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China. +1

  28. A novel network for classification of cuneiform tablet metadata

    Mar 4, 2026Frederik HagelskjærPoint Cloud ClassificationPoint Cloud Learning

    SDU Robotics · The Mærsk Mc-Kinney Møller Institute · University of Southern Denmark +1

  29. Utonia: Toward One Encoder for All Point Clouds

    Mar 3, 2026Yujia Zhang, Xiaoyang Wu, Yunhan Yang +63D Foundation Models3D ViTs

    The University of Hong Kong · Xiaomi · The Chinese University of Hong Kong

  30. FocusTrack: One-Stage Focus-and-Suppress Framework for 3D Point Cloud Object Tracking

    Feb 27, 2026Sifan Zhou, Jiahao Nie, Ziyu Zhao +2Visual Object TrackingPoint Cloud Learning

    School of Automation Southeast University, Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education Nanjing, China · School of Information Technology and Artificial Intelligence, Zhejiang University of Finance and Economics Hangzhou, China · Big Data Institute Central South University Changsha, China