arXivDaily arXiv每日学术速递 周一至周五更新

视觉与机器人

3D 视觉

三维重建、NeRF、Gaussian Splatting、点云和空间智能。

共收录 499 信号源:cs.CV, cs.GR, cs.RO

1. 空间理解 499 篇

2201.09968 2022-06-01 cs.CV 57%

ImpliCity: City Modeling from Satellite Images with Deep Implicit Occupancy Fields

Corinne Stucker, Bingxin Ke, Yuanwen Yue, Shengyu Huang, Iro Armeni, Konrad Schindler

专题命中 空间理解 :point cloud(abstract);分类 cs.CV

Comments Accepted for publication in the International Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (camera-ready version including keywords + supplementary material)

Journal ref ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 193-201, 2022

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2112.10482 2022-05-10 cs.CV 57%

ScanQA: 3D Question Answering for Spatial Scene Understanding

Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, Motoaki Kawanabe

专题命中 空间理解 :spatial understanding(abstract);分类 cs.CV

Comments CVPR2022. The first three authors are equally contributed. Project page: https://github.com/ATR-DBI/ScanQA

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2203.10546 2022-03-22 cs.CV 57%

Towards 3D Scene Understanding by Referring Synthetic Models

Runnan Chen, Xinge Zhu, Nenglun Chen, Dawei Wang, Wei Li, Yuexin Ma, Ruigang Yang, Wenping Wang

专题命中 空间理解 :point cloud(abstract);分类 cs.CV

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2111.10817 2021-11-23 cs.CV 57%

Understanding Pixel-level 2D Image Semantics with 3D Keypoint Knowledge Engine

Yang You, Chengkun Li, Yujing Lou, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Weiming Wang, Cewu Lu

专题命中 空间理解 :3D vision(abstract);分类 cs.CV

Comments Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence; To appear in upcoming issues

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2102.12718 2021-11-22 cs.RO eess.SP 57%

A Simulation-based End-to-End Learning Framework for Evidential Occupancy Grid Mapping

Raphael van Kempen, Bastian Lampe, Timo Woopen, Lutz Eckstein

专题命中 空间理解 :point cloud(abstract);分类 cs.RO

Comments Accepted to be published as part of the 2021 IEEE Intelligent Vehicles Symposium (IV), Nagoya, Japan, July 11-15, 2021

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2111.01973 2021-11-04 physics.ed-ph cs.GR cs.HC math.HO 57%

Teaching Math with the help of Virtual Reality

Marco Simonetti, Damiano Perri, Natale Amato, Osvaldo Gervasi

专题命中 空间理解 :spatial understanding(abstract);分类 cs.GR

Comments International Conference on Computational Science and Its Applications, ICCSA 2020

Journal ref LNCS, volume 12255, 2020

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2103.13539 2021-10-18 cs.RO 57%

Multi-View Fusion for Multi-Level Robotic Scene Understanding

Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield

专题命中 空间理解 :point cloud(abstract);分类 cs.RO

Comments Presented at IROS 2021. Video is at https://youtu.be/FuqMxuODGlw

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2109.01934 2021-09-07 cs.CV cs.CL cs.LG 57%

Weakly Supervised Relative Spatial Reasoning for Visual Question Answering

Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral

专题命中 空间理解 :spatial understanding(abstract);分类 cs.CV

Comments Accepted to ICCV 2021. PaperId : ICCV2021-10857 Copyright transferred to IEEE ICCV. DOI will be updated later

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2105.03582 2021-08-30 cs.CV 57%

SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks

Jiapeng Tang, Jiabao Lei, Dan Xu, Feiying Ma, Kui Jia, Lei Zhang

专题命中 空间理解 :point cloud(abstract);分类 cs.CV

Comments ICCV2021 Oral Representation; 16 pages; 14 figures; 5 tables

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2108.06478 2021-08-17 cs.RO 57%

Sharing Cognition: Human Gesture and Natural Language Grounding Based Planning and Navigation for Indoor Robots

Gourav Kumar, Soumyadip Maity, Ruddra dev Roychoudhury, Brojeshwar Bhowmick

专题命中 空间理解 :spatial understanding(abstract);分类 cs.RO

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2107.02981 2021-07-08 cs.RO 57%

Real-time Semantic 3D Dense Occupancy Mapping with Efficient Free Space Representations

Yuanxin Zhong, Huei Peng

专题命中 空间理解 :point cloud(abstract);分类 cs.RO

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2012.09165 2021-06-29 cs.CV 57%

Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts

Ji Hou, Benjamin Graham, Matthias Nießner, Saining Xie

专题命中 空间理解 :point cloud(abstract);分类 cs.CV

Comments CVPR 2021

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2103.16397 2021-04-01 cs.CV 57%

3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding

Shengheng Deng, Xun Xu, Chaozheng Wu, Ke Chen, Kui Jia

专题命中 空间理解 :point cloud(abstract);分类 cs.CV

Comments CVPR2021 accepted paper

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2103.14326 2021-03-29 cs.CV 57%

Bidirectional Projection Network for Cross Dimension Scene Understanding

Wenbo Hu, Hengshuang Zhao, Li Jiang, Jiaya Jia, Tien-Tsin Wong

专题命中 空间理解 :point cloud(abstract);分类 cs.CV

Comments CVPR 2021 (Oral)

Journal ref CVPR 2021

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1907.01652 2021-02-09 cs.GR cs.HC 57%

RadVR: A 6DOF Virtual Reality Daylighting Analysis Tool

Mohammad Keshavarzi, Luisa Caldas, Luis Santos

专题命中 空间理解 :spatial understanding(abstract);分类 cs.GR

Comments Accepted to Automation in Construction

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2012.13089 2020-12-25 cs.CV 57%

P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding

Yunze Liu, Li Yi, Shanghang Zhang, Qingnan Fan, Thomas Funkhouser, Hao Dong

专题命中 空间理解 :point cloud(abstract);分类 cs.CV

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2011.14358 2020-12-01 cs.CV 57%

Exploring Deep 3D Spatial Encodings for Large-Scale 3D Scene Understanding

Saqib Ali Khan, Yilei Shi, Muhammad Shahzad, Xiao Xiang Zhu

专题命中 空间理解 :point cloud(abstract);分类 cs.CV

Comments Submitted to IEEE Geoscience and Remote Sensing Letters (GRSL) Journal

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2011.09977 2020-11-20 cs.CV 57%

Learning to Predict the 3D Layout of a Scene

Jihao Andreas Lin, Jakob Brünker, Daniel Fährmann

专题命中 空间理解 :point cloud(abstract);分类 cs.CV

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1711.06821 2020-03-09 cs.AI cs.CL cs.CV stat.ML 57%

Acquiring Common Sense Spatial Knowledge through Implicit Spatial Templates

Guillem Collell, Luc Van Gool, Marie-Francine Moens

专题命中 空间理解 :spatial understanding(abstract);分类 cs.CV

Comments To appear at AAAI 2018 Conference

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2001.03339 2020-01-13 cs.CV 57%

Visual Question Answering on 360° Images

Shih-Han Chou, Wei-Lun Chao, Wei-Sheng Lai, Min Sun, Ming-Hsuan Yang

专题命中 空间理解 :spatial understanding(abstract);分类 cs.CV

Comments Accepted to WACV 2020

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1812.06677 2019-12-04 cs.CV 57%

Floorplan-Jigsaw: Jointly Estimating Scene Layout and Aligning Partial Scans

Cheng Lin, Changjian Li, Wenping Wang

专题命中 空间理解 :3D reconstruction(abstract);分类 cs.CV

Comments Published at ICCV 2019. Previously on arxiv as "Floorplan Priors for Joint Camera Pose and Room Layout Estimation"

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1909.13603 2019-10-01 cs.CV 57%

Multi-view PointNet for 3D Scene Understanding

Maximilian Jaritz, Jiayuan Gu, Hao Su

专题命中 空间理解 :point cloud(abstract);分类 cs.CV

Comments Geometry Meets Deep Learning Workshop, ICCV 2019

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1905.10226 2019-06-18 cs.CV 57%

Deep Reason: A Strong Baseline for Real-World Visual Reasoning

Chenfei Wu, Yanzhao Zhou, Gen Li, Nan Duan, Duyu Tang, Xiaojie Wang

专题命中 空间理解 :spatial understanding(abstract);分类 cs.CV

Comments CVPR 2019 Visual Question Answering and Dialog Workshop

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1903.03757 2019-04-11 cs.CV 57%

Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction

Yifei Shi, Angel Xuan Chang, Zhelun Wu, Manolis Savva, Kai Xu

专题命中 空间理解 :point cloud(abstract);分类 cs.CV

Comments CVPR 2019

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1803.03352 2019-01-11 cs.CV 57%

Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey

Muzammal Naseer, Salman H Khan, Fatih Porikli

专题命中 空间理解 :3D reconstruction(abstract);分类 cs.CV

Comments IEEE Access

Journal ref Year: DECEMBER 2019, Volume: 7, Issue:1, Page(s): 1859-1887,

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1812.03631 2018-12-12 cs.CV 57%

Spatial Knowledge Distillation to aid Visual Reasoning

Somak Aditya, Rudra Saha, Yezhou Yang, Chitta Baral

专题命中 空间理解 :spatial understanding(abstract);分类 cs.CV

Comments Equal contribution by first two authors. Accepted in WACV 2019

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1812.01712 2018-12-06 cs.CV cs.LG stat.ML 57%

Multiview Based 3D Scene Understanding On Partial Point Sets

Ye Zhu, Sven Ewan Shepstone, Pablo Martínez-Nuevo, Miklas Strøm Kristoffersen, Fabien Moutarde, Zhuang Fu

专题命中 空间理解 :point cloud(abstract);分类 cs.CV

Comments This paper has been submitted to IEEE Transactions on Neural Networks and Learning Systems

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2608.06948 2026-08-10 cs.AI 新提交 50%

LMM Modality Transfer: A Pre-requisite for Autonomous GIS Agents

多模态大模型模态迁移:自主地理信息系统智能体的先决条件

Ivan Majic, Zexian Huang, Franziska Hübl, Krzysztof Janowicz, Meilin Shi, Mina Karimi, Zilong Liu, Alexandra Fortacz-Lazan

机构 * Graz University of Technology(格拉茨工业大学) University of Vienna(维也纳大学) University of Liverpool(利物浦大学)

专题命中 空间理解 :spatial understanding(abstract)

AI总结 本文针对自主GIS智能体的先决条件,提出LMM模态迁移任务,发现现有LMM在图像与文本模态间传递空间信息的能力不足,需加强多模态对齐以实现地理空间理解。

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2604.08199 2026-08-07 cs.NI 版本更新 50%

Beyond Static Forecasting: Unleashing the Power of World Models for Mobile Traffic Extrapolation

超越静态预测:利用世界模型进行移动交通外推

Xiaoqian Qi, Haoye Chai, Yue Wang, Yong Li

专题命中 空间理解 :spatial understanding(abstract)

AI总结 本文提出MobiWM世界模型,用于移动网络中的移动交通外推,通过融合多模态环境上下文和编码动作,提升空间理解,实验表明其在所有评估场景中均取得最佳分布保真度。

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2607.28583 2026-07-31 cs.HC 新提交 50%

CrossAtlas: Evaluating Projection Techniques for Spatial Referencing in Cross-Reality Collaboration

CrossAtlas:评估跨现实协作中空间参考的投影技术

Haoyang Yang, Chenyang Zhang, Elliott H. Faa, Weijian Liu, Lily Seika Chisholm, Benjamin Lee, David Saffo, Feiyu Lu, Blair MacIntyre, Yalong Yang

专题命中 空间理解 :spatial understanding(abstract)

AI总结 CrossAtlas是整合多种投影技术的PC-VR协作平台,经24组双人受控研究发现,球形投影变体在空间参考任务中表现优于平面投影,可提升跨现实协作效果。

Comments 11 pages, 8 figures, Accepted to IEEE ISMAR 2026 (TVCG journal track)

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