3D Point Cloud Segmentation

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3 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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Privacy-Preserving Semantic Segmentation from High-Resolution Depth and Ultra-Low-Resolution RGB
Sep 23, 2026Xuying Huang, Swithinraj Moses Daniel, Sicong Pan +23D Point Cloud Segmentation 3D Semantic Segmentation
Fraunhofer Institute for Intelligent Analysis and Information Systems
Learning-Based 3D Reconstruction of Power Networks from Aerial Point Clouds
Sep 20, 2026Rishabh Jain, Anuja Saini, Vishal Jain3D Point Cloud Segmentation 3D Reconstruction
AiDash
R4Tun: LLM-guided adaptive segmental tunnel lining segmentation in point clouds
Sep 11, 2026Xinghui Tao, Zehao Ye, Guangming Wang +23D Point Cloud Segmentation Large Language Model-Guided Optimization
Construction Engineering, University of Cambridge, Trumpington Street, Cambridge, CB2 1PZ, United Kingdom · Department of Engineering, Durham University, Stockton Road, Durham, DH1 3LE, United Kingdom
PlantC2USeg: Cross-Scale Consistent Pre-Training for Few-Shot Unified Plant Point Cloud Segmentation
Sep 2, 2026Yu Tian, Xintong Jiang, Jan Franklin Adamowski +23D Point Cloud Segmentation Transfer Learning
McGill University, 21111 Lakeshore Road, Sainte-Anne-de-Bellevue, H9X 3V9, Quebec, Canada
Boundary-Enhanced Segmentation of Pig Point Clouds in Commercial Housing Environments
Aug 12, 2026Zhankang Xu, Fei Shi, Xiangyu Qi +63D Point Cloud Segmentation Point Cloud Learning
a Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China · d Bureau of Agriculture and Rural Affairs of Shangrao City, Jiangxi, China · c School of Science, China University of Geosciences (Beijing), Beijing 100083, China +1
Rethinking 3D Segmentation from Individual LiDAR Scans: Incidence-Aware Sampling on the SIP Benchmark
Aug 7, 2026Seongyong Kim, Jingdao Chen, Yong Kwon Cho3D Point Cloud Segmentation 3D Semantic Segmentation
Graduate Student, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr., Atlanta GA · Assistant Professor, Department of Computer Science and Engineering, Mississippi State University, 665 George Perry St, Mississippi State, MS 39762 · Professor, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr., Atlanta, GA
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer
Aug 6, 2026Wentao Sun, Yiping Chen, Zhengsen Xu +23D Point Cloud Segmentation 3D Semantic Segmentation
Department of Systems Design Engineering, University of Waterloo, N2L 3G1 Waterloo, Canada · School of Geospatial Engineering and Science, Sun Yat-sen University, 519082 Zhuhai, China · Department of Geomatics Engineering, University of Calgary, T2N 1N4 Calgary, Canada
Point Ladder Tuning: Parameter-Efficient Hierarchical Adaptation for 3D Point Cloud Understanding
Jul 21, 2026Junlin Chang, Longhao Zou, Rui Li3D Point Cloud Segmentation Point Cloud Classification
Beihang University, Beijing · Pengcheng Laboratory, Shenzhen
ACZ-GSeg: Adaptive Concentric Zone-based Two-stage Ground Segmentation for LiDAR Point Clouds
Jul 13, 2026Ge Zhang Chunyang Wang Bin Liu3D Point Cloud Segmentation Point Cloud Understanding
School of Optoelectronic Engineering, Xi'an University of Technology, Shaanxi, Xi'an, 710000
CVKD-UDA: Cross-View Knowledge Distillation for 3D Unsupervised Domain Adaptive Segmentation
Jul 11, 2026Zhimin Yuan, Ming Cheng, Shangshu Yu +43D Point Cloud Segmentation Unsupervised Domain Adaptation
School of Artificial Intelligence, Nanyang Normal University, Nanyang 473061, China · Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen 361005, China · School of Computer Science and Engineering, Northeastern University, Shenyang 110819, China
Rail Track Extraction from Rasterized Classified Point Clouds Using a Full-Resolution, Fully Convolutional Recurrent Neural Network
Jul 7, 2026Alexander Gribov, Jie Chang3D Point Cloud Segmentation
Esri, 380 New York Street, Redlands, CA 92373-8100, USA
NegROI: Click-Centric Uncertainty-Guided Refinement with Scene-Conditioned Negative Prompts for Robust Interactive 3D Segmentation
Jul 7, 2026Shuheng Zhang, Feng Wu3D Point Cloud Segmentation 3D ViTs
School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China.
UnderOneFacade: Worldwide Facade Semantic Segmentation Benchmark Dataset
Jul 2, 2026Yi Wang, Fan Wang, Prabin Gyawali +93D Point Cloud Segmentation 3D Semantic Segmentation
Technical University of Munich, Munich, Germany · University of Nottingham, Nottingham, UK · CV4DT, University of Cambridge, Cambridge, UK +1
SelectAnyTree: A Promptable Instance Segmentation Model for 3D Forest LiDAR Point Clouds
Jun 25, 2026Trung Thanh Nguyen, Daniel Lusk, Kilian Gerberding +103D Point Cloud Segmentation 3D Instance Segmentation
Nagoya University, Japan · University of Freiburg, Germany · University of California, Los Angeles, USA +5
NEST3D: A High-Resolution Multimodal Dataset of Sociable Weaver Tree Nests
Jun 12, 2026Constanza A. Molina Catricheo, Simon Boeder, Ting-Jia Guo +63D Point Cloud Segmentation 3D Semantic Segmentation
Institute for Geoinformatics (ifgi), University of Münster, Germany · École Polytechnique Fédérale de Lausanne (EPFL), Switzerland · Max Planck Institute of Animal Behavior, Germany +3
A Robust Point Cloud Analysis Framework Inspired By Primary Visual Cortex
Jun 12, 2026Jisheng Dang, Dengyue Pan, Delin Deng +63D Point Cloud Segmentation Point Cloud Classification
School of Information Science and Engineering, Lanzhou University · School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China · Cloud and AI BU, Huawei, Shenzhen, Guangdong 518129, China +1
Point Cloud Segmentation for Autonomous Clip Positioning in Laparoscopic Cholecystectomy on a Phantom
Jun 10, 2026Balázs Gyenes, Nikolai Franke, Paul Maria Scheikl +53D Point Cloud Segmentation Robotic Manipulation
Institute for Anthropomatics & Robotics - Karlsruhe Institute of Technology, Germany · HIDSS4Health - Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany · Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-University, Erlangen-Nuremberg, Germany +1
PT-WNO: Point Transformer with Wavelet Neural Operator for 3D Point Cloud Semantic Segmentation
Jun 9, 2026Nhut Le, Maryam Rahnemoonfar3D Point Cloud Segmentation 3D ViTs
Lehigh University Bethlehem, Pennsylvania, USA
Segment and Select: Vision-Language Segmentation in 3D Scenarios
Jun 9, 2026Yulin Chen, Zhihang Zhong, Yuenan Hou3D Point Cloud Segmentation Referring Expression Segmentation
Shanghai AI Laboratory · University of Science and Technology of China · Shanghai Jiaotong University
WHU-Infra3D: A Full-stack Multi-modal Dataset and Benchmark for 3D Roadside Infrastructure Inventory
Jun 3, 2026Chong Liu, Luxuan Fu, Xuyu Feng +23D Point Cloud Segmentation Intelligent Transportation Systems
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, China
ForestMamba: Sparse Mamba with Geometry-guided Queries for 3D Forest Point Cloud Segmentation
Jun 1, 2026Trung Thanh Nguyen, Tuan-Anh Vu, Duc Viet Le +43D Point Cloud Segmentation 3D Semantic Segmentation
Nagoya University Nagoya, Aichi, Japan · RIKEN Seika, Kyoto, Japan · University of California, Los Angeles CA, USA +3
Vanilla ViT for Automotive Point Cloud Semantic Segmentation
May 29, 2026Gilles Puy, Nermin Samet, Alexandre Boulch +33D Point Cloud Segmentation 3D ViTs
1valeo.ai, Paris, France · 2LIGM, CNRS, Univ Gustave Eiffel, ENPC, IP Paris, France
xModel-KD: Cross-modal Knowledge Distillation for 3D Scene Perception using LiDAR
May 28, 2026Thenukan Pathmanathan, Kanchan Keisham, Thangarajah AkilanCross-Modal Knowledge Distillation 3D Point Cloud Segmentation
Dept. of Computer Science Lakehead University Thunder Bay, Canada · School of Computer Science Engg. & Info. Systems Vellore Institute of Technology Tamil Nadu, India · Dept. of Software Engg. Lakehead University Thunder Bay, Canada
FoundObj: Self-supervised Foundation Models as Rewards for Label-free 3D Object Segmentation
May 26, 2026Zihui Zhang, Zhixuan Sun, Yafei Yang +33D Point Cloud Segmentation 3D Instance Segmentation
Shenzhen Research Institute, The Hong Kong Polytechnic University · vLAR Group, The Hong Kong Polytechnic University
GreenSeg: Ground Segmentation Algorithm for Agricultural Robots in Mediterranean Greenhouses using RGB-D Point Clouds
May 24, 2026Fernando Cañadas-Aránega, José C. Moreno, José L. Blanco-Claraco3D Point Cloud Segmentation Robot Navigation
Department of Informatics, CIESOL, ceiA3, Universidad de Almería, Ctra. Sacramento s/n, Almería, 04120, Spain · Department of Engineering, CIESOL, ceiA3, Universidad de Almería, Ctra. Sacramento s/n, Almería, 04120, Spain
Resolving Long-Tail Ambiguity in Unsupervised 3D Point Cloud Segmentation with Language Priors
May 20, 2026Siqi Wei, Hongbin Xu, Feng Xiao +43D Point Cloud Segmentation Long-Tail Learning
South China University of Technology · Bytedance · Tsinghua University +2
A Survey on Deep Learning Architectures for Point Cloud Classification and Segmentation
May 16, 2026Minhas Kamal, Hiranya Garbha Kumar, Balakrishnan Prabhakaran3D Point Cloud Segmentation 3D Part Segmentation
State University of New York at Albany, USA
A Unified Non-Parametric and Interpretable Point Cloud Analysis via t-FCW Graph Representation
May 14, 2026Haijian Lai, Bowen Liu, Man Xu +43D Point Cloud Segmentation 3D Part Segmentation
Faculty of Applied Sciences, Macao Polytechnic University, Macao SAR, China · University of Coimbra, CISUC/LASI, DEI · Macao Polytechnic University, Macao SAR, China
From Full and Partial Intraoral Scans to Crown Proposal: A Classification-Guided Restoration Assistance Pipeline
May 14, 2026Rabin Kunwar, Dikshya Parajuli, Rujal Acharya +123D Point Cloud Segmentation
Accelerated Komputing Pvt. Ltd., Bhaktapur, Nepal. · University of Pittsburgh, Pittsburgh, PA, USA. · Emium Co. Ltd., Tokyo, Japan. +3
PointGS: Semantic-Consistent Unsupervised 3D Point Cloud Segmentation with 3D Gaussian Splatting
May 12, 2026Yixiao Song, Qingyong Li, Wen Wang +13D Point Cloud Segmentation 3D Semantic Segmentation
Key Laboratory of Big Data & Artificial Intelligence in Transportation (Beijing Jiaotong University), Ministry of Education · Frontiers Science Center for Smart High-speed Railway System, Beijing Jiaotong University

Sep 23, 2026, cs.CVJ/K move · Enter open · S save

Privacy-Preserving Semantic Segmentation from High-Resolution Depth and Ultra-Low-Resolution RGB

Xuying Huang, Swithinraj Moses Daniel, Sicong Pan, Sebastian Houben+1

Fraunhofer Institute for Intelligent Analysis and Information Systems

3D Point Cloud Segmentation 3D Semantic Segmentation Privacy-Preserving ML Robotic Perception Semantic Segmentation

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As mobile robots become increasingly integrated into everyday environments, privacy risks arising from onboard cameras have become a growing concern. Ultra-low-resolution (ULR) RGB can mitigate visual privacy exposure at the source, but ULR appearance alone substantially limits semantic and spatial understanding. We therefore introduce a privacy-preserving asymmetric sensing setting that combines high-resolution (HR) depth with ULR RGB, preserving dense geometry while restricting fine-grained visual information. To address the severe information imbalance between HR depth and ULR RGB, we propose a joint 2D framework using HR geometry to guide semantic-oriented RGB reconstruction and RGB-D segmentation. Despite reliable frame-level predictions, consistent scene-level understanding remains challenging under the asymmetric HR depth--ULR RGB setting. We therefore develop an end-to-end 2D-to-3D pipeline that consolidates 2D semantic features for 3D segmentation. Experiments on ScanNet show that our method achieves the best 2D and 3D segmentation performance among privacy-preserving approaches and delivers the strongest zero-shot transfer to SUN RGB-D and SceneNN. Privacy recoverability analysis shows that our proposed HR depth--ULR RGB input reduces the recoverability of sensitive data, and real-robot experiments demonstrate the utility of the resulting 3D semantics for object-goal navigation.

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