3D 视觉

AutoSweep: Recovering 3D Editable Objectsfrom a Single Photograph

Xin Chen, Yuwei Li, Xi Luo, Tianjia Shao, Jingyi Yu, Kun Zhou, Youyi Zheng

专题命中 三维重建 ：3D reconstruction(abstract)；point cloud(abstract)；分类 cs.CV

Comments 10 pages, 12 figures

Journal ref IEEE Transactions on Visualization and Computer Graphics, vol. 26, no. 3, pp. 1466-1475, 1 March 2020

FroDO: From Detections to 3D Objects

Kejie Li, Martin Rünz, Meng Tang, Lingni Ma, Chen Kong, Tanner Schmidt, Ian Reid, Lourdes Agapito, Julian Straub, Steven Lovegrove, Richard Newcombe

专题命中 三维重建 ：3D reconstruction(abstract)；point cloud(abstract)；分类 cs.CV

Comments To be published in CVPR 2020. The first two authors contributed equally

Conservative Plane Releasing for Spatial Privacy Protection in Mixed Reality

Jaybie A. de Guzman, Kanchana Thilakarathna, Aruna Seneviratne

专题命中 三维重建 ：point cloud(abstract)；spatial understanding(abstract)；分类 cs.CV

Comments 15 pages

Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion

Julian Chibane, Thiemo Alldieck, Gerard Pons-Moll

专题命中 三维重建 ：3D reconstruction(abstract)；point cloud(abstract)；分类 cs.CV

Comments {IEEE} Conference on Computer Vision and Pattern Recognition (CVPR)2020

Journal ref {IEEE} Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Transformable Bottleneck Networks

Kyle Olszewski, Sergey Tulyakov, Oliver Woodford, Hao Li, Linjie Luo

专题命中 三维重建 ：3D reconstruction(abstract)；novel view synthesis(abstract)；分类 cs.CV

Comments Project Page: https://kyleolsz.github.io/TB-Networks/

Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image

Roman Klokov, Jakob Verbeek, Edmond Boyer

专题命中 三维重建 ：3D reconstruction(abstract)；point cloud(abstract)；分类 cs.CV

Comments Accepted as Oral at BMVC'19

Learning Free-Form Deformations for 3D Object Reconstruction

Dominic Jack, Jhony K. Pontes, Sridha Sridharan, Clinton Fookes, Sareh Shirazi, Frederic Maire, Anders Eriksson

专题命中 三维重建 ：3D reconstruction(abstract)；point cloud(abstract)；分类 cs.CV

Comments 16 pages, 7 figures, 3 tables

Journal ref Asian Conference on Computer Vision (ACCV) 2018

Object Tracking by Reconstruction with View-Specific Discriminative Correlation Filters

Ugur Kart, Alan Lukezic, Matej Kristan, Joni-Kristian Kamarainen, Jiri Matas

专题命中 三维重建 ：3D reconstruction(abstract)；point cloud(abstract)；分类 cs.CV

EC-Net: an Edge-aware Point set Consolidation Network

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

专题命中 三维重建 ：3D reconstruction(abstract)；point cloud(abstract)；分类 cs.CV

Comments accepted by ECCV2018; project in https://yulequan.github.io/ec-net/

Prioritized Multi-View Stereo Depth Map Generation Using Confidence Prediction

Christian Mostegel, Friedrich Fraundorfer, Horst Bischof

专题命中 三维重建 ：3D reconstruction(abstract)；point cloud(abstract)；分类 cs.CV

Comments This paper was accepted to ISPRS Journal of Photogrammetry and Remote Sensing (https://www.journals.elsevier.com/isprs-journal-of-photogrammetry-and-remote-sensing) on March 21, 2018. The official version will be made available on ScienceDirect (https://www.sciencedirect.com)

Small Drone Field Experiment: Data Collection & Processing

Dalton Rosario, Christoph Borel, Damon Conover, Ryan McAlinden, Anthony Ortiz, Sarah Shiver, Blair Simon

专题命中 三维重建 ：3D reconstruction(abstract)；point cloud(abstract)；分类 cs.CV

End-to-end 3D shape inverse rendering of different classes of objects from a single input image

Shima Kamyab, S. Zohreh Azimifar

专题命中 三维重建 ：3D reconstruction(abstract)；point cloud(abstract)；分类 cs.CV

Comments 16 pages, 12 figures, 2 tables

Complete End-To-End Low Cost Solution To a 3D Scanning System with Integrated Turntable

Saed Khawaldeh, Tajwar Abrar Aleef, Usama Pervaiz, Vu Hoang Minh, Yeman Brhane Hagos

专题命中 三维重建 ：3D reconstruction(abstract)；point cloud(abstract)；分类 cs.CV

Comments 22 pages

Journal ref International Journal of Computer Science & Information Technology (IJCSIT), 9, 39-55 (2017)

CAD Priors for Accurate and Flexible Instance Reconstruction

Tolga Birdal, Slobodan Ilic

专题命中 三维重建 ：3D reconstruction(abstract)；point cloud(abstract)；分类 cs.CV

Comments Published at International Conference on Computer Vision (ICCV) 2017

PetroSurf3D - A Dataset for high-resolution 3D Surface Segmentation

Georg Poier, Markus Seidl, Matthias Zeppelzauer, Christian Reinbacher, Martin Schaich, Giovanna Bellandi, Alberto Marretta, Horst Bischof

专题命中 三维重建 ：3D reconstruction(abstract)；point cloud(abstract)；分类 cs.CV

Comments CBMI Submission; Dataset and more information can be found at http://lrs.icg.tugraz.at/research/petroglyphsegmentation/

Machine Vision System for 3D Plant Phenotyping

Ayan Chaudhury, Christopher Ward, Ali Talasaz, Alexander G. Ivanov, Mark Brophy, Bernard Grodzinski, Norman P. A. Huner, Rajni V. Patel, John L. Barron

专题命中 三维重建 ：3D reconstruction(abstract)；point cloud(abstract)；分类 cs.CV

A Point Set Generation Network for 3D Object Reconstruction from a Single Image

Haoqiang Fan, Hao Su, Leonidas Guibas

专题命中 三维重建 ：3D reconstruction(abstract)；point cloud(abstract)；分类 cs.CV

Comments The first two authors contributed equally

Efficient moving point handling for incremental 3D manifold reconstruction

Andrea Romanoni, Matteo Matteucci

专题命中 三维重建 ：3D reconstruction(abstract)；point cloud(abstract)；分类 cs.CV

Comments Accepted in International Conference on Image Analysis and Processing (ICIAP 2015)

Robust Performance-driven 3D Face Tracking in Long Range Depth Scenes

Hai X. Pham, Chongyu Chen, Luc N. Dao, Vladimir Pavlovic, Jianfei Cai, Tat-jen Cham

专题命中 三维重建 ：3D reconstruction(abstract)；point cloud(abstract)；分类 cs.CV

Comments 10 pages, 8 figures, 4 tables

Computer-assisted polyp matching between optical colonoscopy and CT colonography: a phantom study

Holger R. Roth, Thomas E. Hampshire, Emma Helbren, Mingxing Hu, Roser Vega, Steve Halligan, David J. Hawkes

专题命中 三维重建 ：3D reconstruction(abstract)；point cloud(abstract)；分类 cs.CV

Comments This paper was presented at the SPIE Medical Imaging 2014 conference

Journal ref Proc. SPIE 9036, Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling, 903609 (March 12, 2014)

Performance Analysis of Hardware-Accelerated 10-Bit 4:2:2 Encoding with Split-Frame Encoding for High-Fidelity V-PCC Streaming

基于分帧编码的硬件加速10位4:2:2编码在高保真V-PCC流媒体中的性能分析

Kasidis Arunruangsirilert, Jiro Katto

专题命中 三维重建 ：3D reconstruction(abstract)；point cloud(abstract)

AI总结 针对高保真V-PCC流媒体对10位4:2:2编码的实时需求，本文利用Blackwell GPU的四个硬件编码器实现分帧编码，达到122 fps吞吐量，验证了通用GPU的可行性。

Comments 2026 IEEE International Conference on Image Processing Workshops (ICIP 2026), 13-17 September 2026, Tampere, Finland

A Unified Maximum-Likelihood Framework for 3D InISAR Phase Unwrapping with Outlier Rejection

一种用于3D InISAR相位解缠的统一最大似然框架及异常值剔除

Matteo Pardi, Francesco Mancuso, Elisa Giusti, Marco Martorella

专题命中 三维重建 ：3D reconstruction(abstract)；point cloud(abstract)

AI总结 提出一种基于混合整数最小二乘理论的统一最大似然框架，用于3D InISAR相位解缠，无需空间连续性假设，并自然生成后验质量度量以剔除异常值。

Comments 6 pages, 4 figures. Accepted for publication in the Proceedings of the 2026 IEEE Radar Conference (RadarConf26)

Good Token Hunting: A Hitchhiker's Guide to Token Selection for Visual Geometry Transformers

优质令牌狩猎：视觉几何变换器令牌选择指南

Shuhong Zheng, Michael Oechsle, Erik Sandström, Marie-Julie Rakotosaona, Federico Tombari, Igor Gilitschenski

机构 * University of Toronto & Vector Institute（多伦多大学及向量研究所） ； Google（谷歌） ； Technical University of Munich（慕尼黑技术大学） 纠错

专题命中 三维重建 ：3D reconstruction(abstract)；分类 cs.CV、cs.GR、cs.RO

AI总结 针对视觉几何变换器因全局注意力导致计算成本随序列长度平方增长的问题，提出一种两阶段令牌选择框架（帧间多样性选择+帧内层感知稀疏化），在加速85%以上同时保持或提升基线性能。

Comments Project Page: https://zsh2000.github.io/good-token-hunting.github.io, Code: https://github.com/zsh2000/gotohunt

SLAT-Phys: Fast Material Property Field Prediction from Structured 3D Latents

SLAT-Phys：从结构化3D潜在特征快速预测材料属性场

Rocktim Jyoti Das, Dinesh Manocha

机构 * University of Maryland, College Park（马里兰大学学院公园分校） 纠错

专题命中 三维重建 ：3D reconstruction(abstract)；分类 cs.CV、cs.GR、cs.RO

AI总结 SLAT-Phys通过单张RGB图像直接预测3D资产的空间变化材料属性场，利用预训练的3D资产生成模型的结构化潜在特征，结合轻量级神经解码器，高效估计杨氏模量、密度和泊松比，实现比传统方法更快的材料属性预测。

Comments 8 page, 4 figures

CRISP: Contact-Guided Real2Sim from Monocular Video with Planar Scene Primitives

CRISP: 从单目视频中基于接触引导的现实到仿真转换

Zihan Wang, Jiashun Wang, Jeff Tan, Yiwen Zhao, Jessica Hodgins, Shubham Tulsiani, Deva Ramanan

专题命中 三维重建 ：point cloud(abstract)；分类 cs.CV、cs.GR、cs.RO

AI总结 CRISP通过拟合平面原始体和强化学习，从单目视频中生成可模拟的现实到仿真环境，显著降低运动跟踪失败率。

Comments Published at ICLR 2026. Project page: https://crisp-real2sim.github.io/CRISP-Real2Sim/

BayesFusion-SDF: Probabilistic Signed Distance Fusion with View Planning on CPU

BayesFusion-SDF：基于CPU的概率签名距离融合与视点规划

Soumya Mazumdar, Vineet Kumar Rakesh, Tapas Samanta

机构 * Department of Computer Science and Business Systems（计算机科学与商业系统系） ； Gargi Memorial Institute of Technology（加里纪念技术学院） ； Computer and Informatics Group（计算机与信息组） ； Variable Energy Cyclotron Centre（变能回旋加速器中心） ； Engineering Sciences, Homi Bhabha National Institute Training School Complex（工程科学，霍米·巴布哈国家研究所培训学校复合体） 纠错

专题命中 三维重建 ：3D reconstruction(abstract)；分类 cs.CV、cs.GR、cs.RO

AI总结 BayesFusion-SDF是一种基于CPU的概率签名距离融合方法，通过异方差贝叶斯公式和稀疏线性代数实现高效的几何重建与不确定性估计，适用于主动传感和视点规划。

HoRAMA: Holistic Reconstruction with Automated Material Assignment for Ray Tracing using NYURay

基于NYURay的Holistic Reconstruction with Automated Material Assignment用于射线追踪的全面重建

Mingjun Ying, Guanyue Qian, Xinquan Wang, Peijie Ma, Dipankar Shakya, Theodore S. Rappaport

专题命中 三维重建 ：3D reconstruction(abstract)；point cloud(abstract)

AI总结 HoRAMA通过结合MASt3R-SLAM和视觉语言模型实现快速生成RT兼容的3D模型，提升无线传播预测精度并缩短重建时间。

Comments 7 pages, 4 figures, 2 tables, accepted by 2026 IEEE International Conference on Communications (ICC)

DCCVT: Differentiable Clipped Centroidal Voronoi Tessellation

DCCVT：可微剪裁中心点 Voronoi 分区

Wylliam Cantin Charawi, Adrien Gruson, Jane Wu, Christian Desrosiers, Diego Thomas

专题命中 三维重建 ：3D reconstruction(abstract)；point cloud(abstract)

AI总结 DCCVT 通过可微剪裁 CVTs 从噪声 SDF 中提取高质量 3D 网格，提升 3D 重建质量。

TwinAligner: Visual-Dynamic Alignment Empowers Physics-aware Real2Sim2Real for Robotic Manipulation

TwinAligner: 视觉-动态对齐赋能物理感知的实境到仿真到现实的机器人操控

Hongwei Fan, Hang Dai, Jiyao Zhang, Jinzhou Li, Qiyang Yan, Yujie Zhao, Mingju Gao, Jinghang Wu, Hao Tang, Hao Dong

机构 * CFCS, School of Computer Science, Peking University（计算机学院，北京大学CFCS） ； PKU-AgiBot Lab（北京大学AgiBot实验室） ； State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University（多媒体信息处理国家重点实验室，计算机学院，北京大学） 纠错

专题命中 三维重建 ：3DGS(abstract)；分类 cs.CV、cs.GR、cs.RO

AI总结 TwinAligner通过视觉和动态对齐技术，解决仿真与现实之间的差距，提升机器人操控的可扩展学习能力。

From Single Images to Motion Policies via Video-Generation Environment Representations

Weiming Zhi, Ziyong Ma, Tianyi Zhang, Matthew Johnson-Roberson

机构 * Robotics Institute, Carnegie Mellon University（卡内基梅隆大学机器人研究所） 纠错

专题命中 三维重建 ：point cloud(abstract)；分类 cs.CV、cs.GR、cs.RO