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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 19082 信号源:cs.CV, cs.GR, cs.RO

1. Gaussian Splatting 3163 篇

2312.00109 2023-12-04 cs.CV 57%

Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering

Tao Lu, Mulin Yu, Linning Xu, Yuanbo Xiangli, Limin Wang, Dahua Lin, Bo Dai

专题命中 Gaussian Splatting :Gaussian Splatting(abstract);分类 cs.CV

Comments Project page: https://city-super.github.io/scaffold-gs/

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2305.20082 2023-12-01 cs.CV 57%

Control4D: Efficient 4D Portrait Editing with Text

Ruizhi Shao, Jingxiang Sun, Cheng Peng, Zerong Zheng, Boyao Zhou, Hongwen Zhang, Yebin Liu

专题命中 Gaussian Splatting :Gaussian Splatting(abstract);分类 cs.CV

Comments The link to our project website is https://control4darxiv.github.io

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2310.16349 2023-10-26 cs.CV 57%

DiffRef3D: A Diffusion-based Proposal Refinement Framework for 3D Object Detection

Se-Ho Kim, Inyong Koo, Inyoung Lee, Byeongjun Park, Changick Kim

专题命中 Gaussian Splatting :point cloud(abstract);分类 cs.CV

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2307.10784 2023-10-06 cs.CV 57%

SMURF: Spatial Multi-Representation Fusion for 3D Object Detection with 4D Imaging Radar

Jianan Liu, Qiuchi Zhao, Weiyi Xiong, Tao Huang, Qing-Long Han, Bing Zhu

专题命中 Gaussian Splatting :point cloud(abstract);分类 cs.CV

Comments Accepted by IEEE Transactions on Intelligent Vehicles

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2206.09215 2023-06-13 cs.RO 57%

Mind the Gap: Norm-Aware Adaptive Robust Loss for Multivariate Least-Squares Problems

Thomas Hitchcox, James Richard Forbes

专题命中 Gaussian Splatting :point cloud(abstract);分类 cs.RO

Comments 8 pages, 4 figures. This paper has been accepted for publication in IEEE Robotics and Automation Letters. V2: Update weighting in (13), (28) and re-run results. Hypothesis, methodology, and general findings remain unchanged. Update Sec. II-A to reference IRLS, and update citation [11] accordingly. Include acknowledgement to Mitchell Cohen. V3: Update Section II-A to least-squares

Journal ref IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 7116-7123, 2022

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2305.04239 2023-05-09 cs.CV cs.IR 57%

Instance-Variant Loss with Gaussian RBF Kernel for 3D Cross-modal Retriveal

Zhitao Liu, Zengyu Liu, Jiwei Wei, Guan Wang, Zhenjiang Du, Ning Xie, Heng Tao Shen

专题命中 Gaussian Splatting :point cloud(abstract);分类 cs.CV

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2305.00435 2023-05-02 cs.CV 57%

Second-order Anisotropic Gaussian Directional Derivative Filters for Blob Detection

Jie Ren, Wenya Yu, Jiapan Guo, Weichuan Zhang, Changming Sun

专题命中 Gaussian Splatting :3D reconstruction(abstract);分类 cs.CV

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2304.11697 2023-04-25 cs.CV eess.IV 57%

Informative Data Selection with Uncertainty for Multi-modal Object Detection

Xinyu Zhang, Zhiwei Li, Zhenhong Zou, Xin Gao, Yijin Xiong, Dafeng Jin, Jun Li, Huaping Liu

专题命中 Gaussian Splatting :point cloud(abstract);分类 cs.CV

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2303.16386 2023-03-30 cs.RO 57%

Quantifying VIO Uncertainty

Stephanie Tsuei, Stefano Soatto

专题命中 Gaussian Splatting :point cloud(abstract);分类 cs.RO

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2302.11446 2023-02-23 math.AT cs.CV cs.LG 57%

Singular value decomposition based matrix surgery

Jehan Ghafuri, Sabah Jassim

专题命中 Gaussian Splatting :point cloud(abstract);分类 cs.CV

Comments 11 pages, 5 figures

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2210.15291 2022-10-28 cs.CV cs.AI cs.CR cs.LG stat.ML 57%

Isometric 3D Adversarial Examples in the Physical World

Yibo Miao, Yinpeng Dong, Jun Zhu, Xiao-Shan Gao

专题命中 Gaussian Splatting :point cloud(abstract);分类 cs.CV

Comments NeurIPS 2022

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2203.04541 2022-09-28 cs.RO 57%

PUTN: A Plane-fitting based Uneven Terrain Navigation Framework

Zhuozhu Jian, Zihong Lu, Xiao Zhou, Bin Lan, Anxing Xiao, Xueqian Wang, Bin Liang

专题命中 Gaussian Splatting :point cloud(abstract);分类 cs.RO

Comments Accepted by IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022

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2203.12193 2022-03-24 cs.CV 57%

Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions

Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan

专题命中 Gaussian Splatting :point cloud(abstract);分类 cs.CV

Comments Published in AAAI Conference on Artificial Intelligence (2022)

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2202.13381 2022-03-01 cs.RO 57%

Obstacle Avoidance of Resilient UAV Swarm Formation with Active Sensing System in the Dense Environment

Peng Peng, Wei Dong, Gang Chen, Xiangyang Zhu

专题命中 Gaussian Splatting :point cloud(abstract);分类 cs.RO

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2111.00184 2021-11-02 cs.CV 57%

Geometry-Aware Hierarchical Bayesian Learning on Manifolds

Yonghui Fan, Yalin Wang

专题命中 Gaussian Splatting :point cloud(abstract);分类 cs.CV

Comments Published in WACV 2022

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2103.14357 2021-03-29 cs.CV 57%

VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation

Jiayi Tian, Jing Zhang, Wen Li, Dong Xu

专题命中 Gaussian Splatting :point cloud(abstract);分类 cs.CV

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2002.03892 2020-09-15 cs.RO 57%

Learning to Grasp 3D Objects using Deep Residual U-Nets

Yikun Li, Lambert Schomaker, S. Hamidreza Kasaei

专题命中 Gaussian Splatting :point cloud(abstract);分类 cs.RO

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1903.05517 2019-03-14 cs.RO cs.AI 57%

Hypothesis-based Belief Planning for Dexterous Grasping

Claudio Zito, Valerio Ortenzi, Maxime Adjigble, Marek Kopicki, Rustam Stolkin, Jeremy L. Wyatt

专题命中 Gaussian Splatting :point cloud(abstract);分类 cs.RO

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1803.07426 2018-08-03 cs.CV 57%

DUGMA: Dynamic Uncertainty-Based Gaussian Mixture Alignment

Can Pu, Nanbo Li, Radim Tylecek, Robert B Fisher

专题命中 Gaussian Splatting :point cloud(abstract);分类 cs.CV

Comments Accepted by 3DV 2018. 9 pages. arXiv admin note: text overlap with arXiv:1707.08626

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1802.04642 2018-02-14 cs.RO 57%

Active Exploration Using Gaussian Random Fields and Gaussian Process Implicit Surfaces

Sergio Caccamo, Yasemin Bekiroglu, Carl Henrik Ek, Danica Kragic

专题命中 Gaussian Splatting :point cloud(abstract);分类 cs.RO

Comments 8 pages, 6 figures, external contents (https://youtu.be/0-UlFRQT0JI)

Journal ref 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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1707.01532 2017-07-07 cs.RO 57%

Gaussian Processes Semantic Map Representation

Maani Ghaffari Jadidi, Lu Gan, Steven A. Parkison, Jie Li, Ryan M. Eustice

专题命中 Gaussian Splatting :point cloud(abstract);分类 cs.RO

Comments Accepted for RSS 2017 Workshop on Spatial-Semantic Representations in Robotics

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1507.05699 2016-05-06 cs.CV 57%

Bottom-Up and Top-Down Reasoning with Hierarchical Rectified Gaussians

Peiyun Hu, Deva Ramanan

专题命中 Gaussian Splatting :spatial understanding(abstract);分类 cs.CV

Comments To appear in CVPR 2016

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2608.09265 2026-08-11 math.OC math.PR stat.ML 新提交 50%

Entropic Partial Optimal Transport and Partial Gromov--Wasserstein Distance between Gaussian Mixtures

高斯混合模型之间的熵正则化部分最优传输与部分格罗莫夫-瓦瑟斯坦距离

Toshiaki Yachimura, Xiaocheng Zou

专题命中 Gaussian Splatting :point cloud(abstract)

AI总结 本文针对高斯混合模型,开发熵正则化部分最优传输并定义部分混合格罗莫夫-瓦瑟斯坦距离,证明其极小值存在唯一性等性质,经数值实验验证该方法对异常值匹配具有鲁棒性。

Comments 7 figures

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2607.01164 2026-07-02 cs.LG 新提交 50%

Efficient Compression of Structured and Unstructured Volumes via Learned 3D Gaussian Representation

基于学习的三维高斯表示对结构化与非结构化体积的高效压缩

Landon Dyken, Sharmistha Chakrabarti, Nathan Debardeleben, Steve Petruzza, Qi Wu, Will Usher, Sidharth Kumar

专题命中 Gaussian Splatting :novel view synthesis(abstract)

AI总结 提出基于三维高斯原语的显式模型压缩体积数据,通过加权聚合重建标量场,无需网格存储,在非结构化体积上全面超越隐式神经表示。

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2603.17499 2026-06-02 eess.SY cs.SY eess.SP 50%

A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness

基于学习的无线电地图构建教程:数据、范式和物理感知

Xiucheng Wang, Yuhao Pan, Nan Cheng, Çağkan Yapar, Ruijin Sun, Zhisheng Yin, Conghao Zhou, Wenchao Xu, Yuxiang Zhang, Jianhua Zhang, Shuguang Cui, Xuemin Shen

专题命中 Gaussian Splatting :Gaussian Splatting(abstract)

AI总结 本文系统综述了基于学习的无线电地图构建方法,从数据、范式和物理感知三个维度展开,并讨论了未来研究方向。

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2605.18866 2026-05-27 cs.LG cs.AI 50%

FLUIDSPLAT: Reconstructing Physical Fields from Sparse Sensors via Gaussian Primitives

FLUIDSPLAT: 通过高斯原语从稀疏传感器重建物理场

Huaxi Huang, Meng Li, Zhengqing Gao, Xi Zhou, Xiaoshui Huang, Xiao Sun

机构 * Shanghai Artificial Intelligence Laboratory(上海人工智能实验室) The Hong Kong University of Science and Technology(香港科学与技术大学) Mohamed bin Zayed University of Artificial Intelligence(莫扎德·本·扎耶德人工智能大学) Shanghai Jiaotong University(上海交通大学)

专题命中 Gaussian Splatting :Gaussian Splatting(abstract)

AI总结 提出FLUIDSPLAT模型,利用高斯原语作为空间显式中间表示,从稀疏传感器数据重建流场,理论分析了表示能力与观测数的关系,并在多个基准上实现误差降低11-28%。

Comments 24 pages, 5 figures,preprint

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2604.19493 2026-04-22 stat.ME stat.CO 50%

A Nonparametric Goodness-of-Fit Test for High-Dimensional Generalized Gaussian Distributions via Nearest-Neighbor Graphs

基于最近邻图的高维广义高斯分布 goodness-of-fit 非参数检验

Mehmet Sıddık Çadırcı, Yener Ünal

专题命中 Gaussian Splatting :point cloud(abstract)

AI总结 本文提出基于最近邻图和适应性零原理的非参数检验方法,用于评估高维广义高斯分布模型的拟合优度,通过稳健标准化和交叉边计数实现,具有高维扩展性和几何解释。

Comments 22 pages, 5 pages

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2509.10415 2026-04-13 math.NA cs.NA 50%

Multiscaling in Wasserstein Spaces

Wael Mattar, Nir Sharon

专题命中 Gaussian Splatting :point cloud(abstract)

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2604.07086 2026-04-09 eess.SP 50%

Radio-Frequency Inverse Rendering for Wireless Environment Modeling

无线环境建模的射频逆渲染

Fuhai Wang, Zihan Jin, Lehang Wang, Xuehui Dong, Tiebin Mi, Robert Caiming Qiu, Zenan ling

专题命中 Gaussian Splatting :Gaussian Splatting(abstract)

AI总结 本文提出一种物理基础的射频逆渲染框架,通过分离射频发射、几何和材料电磁特性,提升无线环境建模的精度与灵活性。

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2603.20656 2026-03-24 stat.ML cs.AI cs.LG math.OC math.ST stat.TH 50%

Sinkhorn Based Associative Memory Retrieval Using Spherical Hellinger Kantorovich Dynamics

基于Sinkhorn的关联记忆检索使用球面Hellinger Kantorovich动力学

Aratrika Mustafi, Soumya Mukherjee

专题命中 Gaussian Splatting :point cloud(abstract)

AI总结 本文提出基于Sinkhorn的关联记忆检索方法,利用球面Hellinger Kantorovich动力学实现抗扰动恢复,通过几何收敛性和盆地不变性提升存储模式的稳定性与恢复能力。

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