3D 视觉

Oriented Point Sampling for Plane Detection in Unorganized Point Clouds

Bo Sun, Philippos Mordohai

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV、cs.RO

Comments 7 pages, 3 figures, 2019 IEEE International Conference on Robotics and Automation (Accepted)

PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval

Wenxiao Zhang, Chunxia Xiao

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV、cs.RO

Comments Accepted to CVPR 2019

DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds

Li Ding, Chen Feng

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV、cs.RO

Comments This paper has been accepted for CVPR'19 oral presentation

Fast Registration for cross-source point clouds by using weak regional affinity and pixel-wise refinement

Xiaoshui Huang, Lixin Fan, Qiang Wu, Jian Zhang, Chun Yuan

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV、cs.GR

Comments ICME 2019

3D Convolution on RGB-D Point Clouds for Accurate Model-free Object Pose Estimation

Zhongang Cai, Cunjun Yu, Quang-Cuong Pham

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV、cs.RO

Practical Shape Analysis and Segmentation Methods for Point Cloud Models

Reed M. Williams, Horea T. Ilieş

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV、cs.GR

Comments 21 pages, 20 figures. To appear in The Journal of Computer Aided Geometric Design's Special Issue on Heat Diffusion Equation and Optimal Transport in Geometry Processing and Computer Graphics

Multiresolution Tree Networks for 3D Point Cloud Processing

Matheus Gadelha, Rui Wang, Subhransu Maji

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV、cs.GR

Comments Accepted to ECCV 2018. 23 pages, including supplemental material

Point cloud segmentation using hierarchical tree for architectural models

Omair Hassaan, Abeera Shamail, Zain Butt, Murtaza Taj

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV、cs.GR

Comments 9 pages. 10 figures. Submitted in EuroGraphics 2018

SPLATNet: Sparse Lattice Networks for Point Cloud Processing

Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, Jan Kautz

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV、cs.GR

Comments Camera-ready, accepted to CVPR 2018 (oral); project website: http://vis-www.cs.umass.edu/splatnet/

Noise-resistant Deep Learning for Object Classification in 3D Point Clouds Using a Point Pair Descriptor

Dmytro Bobkov, Sili Chen, Ruiqing Jian, Muhammad Iqbal, Eckehard Steinbach

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV、cs.RO

Comments 8 pages

Journal ref IEEE Robotics and Automation Letters 2018 Volume 3, Issue 2 IEEE Robotics and Automation Letters IEEE Robotics and Automation Letters

PU-Net: Point Cloud Upsampling Network

Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV、cs.GR

Comments accepted by CVPR2018

A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds

Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter Sturm

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV、cs.RO

Comments Accepted for publication at CVPR 2018

A General Framework for Flexible Multi-Cue Photometric Point Cloud Registration

Bartolomeo Della Corte, Igor Bogoslavskyi, Cyrill Stachniss, Giorgio Grisetti

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV、cs.RO

Comments 8 pages

Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark

Timo Hackel, Nikolay Savinov, Lubor Ladicky, Jan D. Wegner, Konrad Schindler, Marc Pollefeys

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV、cs.RO

Comments Accepted to ISPRS Annals. The benchmark website is available at http://www.semantic3d.net/ . The baseline code is available at https://github.com/nsavinov/semantic3dnet

Cloud Dictionary: Sparse Coding and Modeling for Point Clouds

Or Litany, Tal Remez, Alex Bronstein

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV、cs.GR

Comments Signal Processing with Adaptive Sparse Structured Representations (SPARS), 2017

Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks

Martin Engelcke, Dushyant Rao, Dominic Zeng Wang, Chi Hay Tong, Ingmar Posner

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV、cs.RO

Comments To be published at the IEEE International Conference on Robotics and Automation 2017

3D Fully Convolutional Network for Vehicle Detection in Point Cloud

Bo Li

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV、cs.RO

Partial Procedural Geometric Model Fitting for Point Clouds

Zongliang Zhang, Jonathan Li, Yulan Guo, Yangbin Lin, Ming Cheng, Cheng Wang

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV、cs.GR

Graph-based compression of dynamic 3D point cloud sequences

Dorina Thanou, Philip A. Chou, Pascal Frossard

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV、cs.GR

Graph-based denoising for time-varying point clouds

Yann Schoenenberger, Johan Paratte, Pierre Vandergheynst

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV、cs.GR

Comments 4 pages, 3 figures, 3DTV-Con 2015

Journal ref 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON) (2015) 1-4

Contextually Guided Semantic Labeling and Search for 3D Point Clouds

Abhishek Anand, Hema Swetha Koppula, Thorsten Joachims, Ashutosh Saxena

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV、cs.RO

Comments arXiv admin note: substantial text overlap with arXiv:1106.5551

Layered Quantum Architecture Search for 3D Point Cloud Classification

分层量子架构搜索用于3D点云分类

Natacha Kuete Meli, Jovita Lukasik, Vladislav Golyanik, Michael Moeller

机构 * University of Siegen（锡根大学） ； MPI for Informatics（马克斯·普朗克信息研究所） 纠错

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV；3D vision(journal_ref)

AI总结 本文提出分层量子架构搜索方法，通过逐步增长和适应量子电路架构，提升3D点云分类性能，优于传统量子优化方法。

Journal ref International Conference on 3D Vision (3DV) 2026

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

mmGAT: 通过毫米波雷达点云的图注意力机制进行姿态估计

Abdullah Al Masud, Shi Xintong, Mondher Bouazizi, Ohtsuki Tomoaki

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV

AI总结 mmGAT通过毫米波雷达点云的图注意力机制，提升姿态估计性能，实现MPJPE和PA-MPJPE的显著降低。

Comments copyright 2026 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

Journal ref M. A. Al, X. Shi, B. Mondher and T. Ohtsuki, "mmGAT: Pose Estimation by Graph Attention with Mutual Features from mmWave Radar Point Cloud," IEEE ICC 2024, Denver, CO, USA

Geometry-to-Image Synthesis-Driven Generative Point Cloud Registration

基于几何到图像合成的生成式点云配准

Haobo Jiang, Jin Xie, Jian Yang, Liang Yu, Jianmin Zheng

机构 * ANGEL CorpLab and College of Computing and Data Science, Nanyang Technological University, Singapore（ANGEL CorpLab和计算与数据科学学院，南洋理工大学，新加坡） ； Alibaba Cloud, Alibaba Group, China（阿里巴巴云，阿里巴巴集团，中国） ； PCA Lab, VCIP, College of Computer Science, Nankai University, China（PCA实验室，VCIP，计算机科学学院，南开大学，中国） ； State Key Laboratory for Novel Software Technology & Schoolof Intelligence Science and Technology, Nanjing University, China（新型软件技术国家重点实验室与智能科学与技术学校，南京大学，中国） 纠错

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV

AI总结 本文提出生成式点云配准方法，通过生成跨视角一致的图像对，结合几何与颜色特征融合，提升3D配准性能。

Comments Journal extension of the ICML 2025 paper "Generative Point Cloud Registration". This version adopts a new title, and includes substantial methodological improvements, additional experiments, and extended analysis. Under review at IEEE TPAMI

MorphoSkel3D: Morphological Skeletonization of 3D Point Clouds for Informed Sampling in Object Classification and Retrieval

MorphoSkel3D: 3D点云的形态学骨架化用于物体分类和检索中的有指导采样

Pierre Onghena, Santiago Velasco-Forero, Beatriz Marcotegui

机构 * Mines Paris, PSL University, Center for Mathematical Morphology (CMM)（巴黎矿学院、PSL大学、数学形态学中心） 纠错

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV；3D vision(journal_ref)

AI总结 MorphoSkel3D通过形态学方法实现3D点云的骨架化，提升物体分类和检索中的采样精度与效率。

Journal ref 2025 International Conference on 3D Vision (3DV)

Rethinking Metrics and Diffusion Architecture for 3D Point Cloud Generation

Matteo Bastico, David Ryckelynck, Laurent Corté, Yannick Tillier, Etienne Decencière

机构 * Mines Paris, Université PSL（Mines Paris，Université PSL） ； Centre des Matériaux (MAT), UMR7633 CNRS（Centre des Matériaux（MAT），UMR7633 CNRS） ； Centre de Morphologie Mathématique (CMM)（Centre de Morphologie Mathématique（CMM）） ； Centre de Mise en Forme des Matériaux (CEMEF), UMR7635 CNRS（Centre de Mise en Forme des Matériaux（CEMEF），UMR7635 CNRS） 纠错

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV；3D vision(comments)

Comments This paper has been accepted at International Conference on 3D Vision (3DV) 2026

Masked Clustering Prediction for Unsupervised Point Cloud Pre-training

Bin Ren, Xiaoshui Huang, Mengyuan Liu, Hong Liu, Fabio Poiesi, Nicu Sebe, Guofeng Mei

机构 * University of Pisa（比萨大学） ； University of Trento（特伦托大学） ； Shanghai Jiao Tong University（上海交通大学） ； Peking University（北京大学） ； Fondazione Bruno Kessler（布鲁诺·凯索尔基金会） 纠错

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV

Comments 3D point cloud pretraining method. 8 pages in the main manuscript

Noise2Score3D:Unsupervised Tweedie's Approach for Point Cloud Denoising

Xiangbin Wei

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV

Comments There is already another version: "Noise2Score3D: Tweedie's Approach for Unsupervised Point Cloud Denoising". Please see arXiv:2503.09283

UVG-VPC: Voxelized Point Cloud Dataset for Visual Volumetric Video-based Coding

Guillaume Gautier, Alexandre Mercat, Louis Fréneau, Mikko Pitkänen, Jarno Vanne

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV

Comments Point cloud compression;Geometry;Visualization;Three-dimensional displays;Video sequences;Transform coding;Media;Open dataset;point cloud;Visual Volumetric Video-based Coding (V3C);Video-based Point Cloud Compression (V-PCC);Extended Reality (XR)

Journal ref 2023 15th International Conference on Quality of Multimedia Experience (QoMEX), Ghent, Belgium, 2023, pp. 244-247

Enhancing Performance of Point Cloud Completion Networks with Consistency Loss

Kevin Tirta Wijaya, Christofel Rio Goenawan, Seung-Hyun Kong

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV

Comments First version of Paper "Enhancing Performance of Point Cloud Completion Networks with Consistency Loss" by Kevin Tirta Wijaya and Christofel Rio Goenawan. In process submission to Neurocomputing Journal 2024