3D 视觉

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

机构 * KAIST（韩国科学技术院） 纠错

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

Textured As-Is BIM via GIS-informed Point Cloud Segmentation

Mohamed S. H. Alabassy

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

Comments Permission granted by all co-authors for the publication of the extended article to the conference paper "BIM Integration for Automated Identification of Relevant Geo-Context Information via Point Cloud Segmentation" (2023). URL: https://www.ucl.ac.uk/bartlett/construction/sites/bartlett_construction/files/bim_integration_for_automated_identification_of_relevant_geo-context.pdf

PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-ray

Wen Ma, Huikai Wu, Zikai Xiao, Yang Feng, Jian Wu, Zuozhu Liu

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

Comments Ma W, Wu H, Xiao Z, et al. PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-Ray[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Cham: Springer Nature Switzerland, 2024: 411-421

Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning

Bin Ren, Guofeng Mei, Danda Pani Paudel, Weijie Wang, Yawei Li, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Nicu Sebe

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

Comments Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning

Points for Energy Renovation (PointER): A LiDAR-Derived Point Cloud Dataset of One Million English Buildings Linked to Energy Characteristics

Sebastian Krapf, Kevin Mayer, Martin Fischer

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

Comments The PointER dataset can be downloaded from https://doi.org/10.14459/2023mp1713501. The code used for generating building point clouds is available at https://github.com/kdmayer/PointER

Joint Geometry and Attribute Upsampling of Point Clouds Using Frequency-Selective Models with Overlapped Support

Viktoria Heimann, Andreas Spruck, André Kaup

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

Comments 10 pages, 10 figures, Under Review at IEEE TMM Special Issue on Point Cloud Processing and Understanding

GRASP-Net: Geometric Residual Analysis and Synthesis for Point Cloud Compression

Jiahao Pang, Muhammad Asad Lodhi, Dong Tian

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

Comments Accepted at ACM MM 2022 Workshop on Advances in Point Cloud Compression, Processing and Analysis

Sequential Point Clouds: A Survey

Haiyan Wang, Yingli Tian

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

Comments Survey paper on sequential point clouds

Deep Models with Fusion Strategies for MVP Point Cloud Registration

Lifa Zhu, Changwei Lin, Dongrui Liu, Xin Li, Francisco Gómez-Fernández

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

Comments Point cloud registration competition, ICCV21 workshop. Substantial text overlap with arXiv:2107.02583

Investigating Attention Mechanism in 3D Point Cloud Object Detection

Shi Qiu, Yunfan Wu, Saeed Anwar, Chongyi Li

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

Comments International Conference on 3D Vision (3DV 2021)

Cascaded Refinement Network for Point Cloud Completion with Self-supervision

Xiaogang Wang, Marcelo H Ang, Gim Hee Lee

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

Comments Accepted by PAMI. Extended version of the following paper: Cascaded Refinement Network for Point Cloud Completion. CVPR 2020. arXiv link: arXiv:2004.03327

3D Graph Embedding Learning with a Structure-aware Loss Function for Point Cloud Semantic Instance Segmentation

Zhidong Liang, Ming Yang, Chunxiang Wang

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

Journal ref Title: 3D Instance Embedding Learning With a Structure-Aware Loss Function for Point Cloud Segmentation; Published in: IEEE Robotics and Automation Letters ( Volume: 5, Issue: 3, July 2020)

Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks

Junming Zhang, Ming-Yuan Yu, Ram Vasudevan, Matthew Johnson-Roberson

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

Comments 3D Vision Conference 2020

A Progressive Conditional Generative Adversarial Network for Generating Dense and Colored 3D Point Clouds

Mohammad Samiul Arshad, William J. Beksi

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

Comments To be published in the 2020 International Conference on 3D Vision (3DV)

Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation

Yuxing Xie, Jiaojiao Tian, Xiao Xiang Zhu

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

Comments The title of published version was modified to "Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation". To read its final version please go to IEEE Geoscience and Remote Sensing Magazine on IEEE XPlore: https://ieeexplore.ieee.org/document/9028090

ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds

Kibok Lee, Zhuoyuan Chen, Xinchen Yan, Raquel Urtasun, Ersin Yumer

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

Comments 3D Point Clouds, Adversarial Learning

Rotation Invariant Convolutions for 3D Point Clouds Deep Learning

Zhiyuan Zhang, Binh-Son Hua, David W. Rosen, Sai-Kit Yeung

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

Comments International Conference on 3D Vision (3DV) 2019

Casualty Detection from 3D Point Cloud Data for Autonomous Ground Mobile Rescue Robots

Roni Permana Saputra, Petar Kormushev

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

Comments Published in SSRR 2018 Conference

Journal ref R. P. Saputra and P. Kormushev, "Casualty Detection from 3D Point Cloud Data for Autonomous Ground Mobile Rescue Robots," 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), Philadelphia, PA, 2018, pp. 1-7

YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud

Waleed Ali, Sherif Abdelkarim, Mohamed Zahran, Mahmoud Zidan, Ahmad El Sallab

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

Comments Paper accepted in ECCV 2018, "3D Reconstruction meets Semantics" workshop