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 19032 信号源:cs.CV, cs.GR, cs.RO

1. Gaussian Splatting 3141 篇

2407.09510 2026-06-10 cs.CV 93%

3DGS.zip: A survey on 3D Gaussian Splatting Compression Methods

3DGS.zip:3D高斯散射压缩方法综述

Milena T. Bagdasarian, Paul Knoll, Yi-Hsin Li, Florian Barthel, Anna Hilsmann, Peter Eisert, Wieland Morgenstern

机构 * Fraunhofer HHI(弗劳恩霍夫研究所汉诺威研究所) Humboldt-Universität zu Berlin(柏林洪堡大学) Technische Universität Berlin(柏林技术大学)

专题命中 Gaussian Splatting :3DGS(title,title_cn);Gaussian Splatting(title,abstract);分类 cs.CV

AI总结 本文综述了3DGS压缩方法,探讨了压缩与紧缩技术,旨在提高3DGS的效率和实用性,通过减少文件大小和高斯数量来优化质量和性能。

Comments 3D Gaussian Splatting compression survey; 3DGS compression; updated discussion; new approaches added; new illustrations

Journal ref Computer Graphics Forum, Volume 44, Issue 2 (2025)

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2601.14821 2026-05-25 cs.CV 93%

POTR: Post-Training 3DGS Compression

POTR:训练后3DGS压缩

Bert Ramlot, Martijn Courteaux, Peter Lambert, Glenn Van Wallendael

机构 * IDLab-MEDIA research group(IDLab-MEDIA研究组) Ghent University(根特大学) imec

专题命中 Gaussian Splatting :3DGS(title,title_cn);NeRF(abstract,abstract_cn);Gaussian Splatting(abstract);novel view synthesis(abstract)

AI总结 提出POTR后训练压缩框架,通过改进的3DGS光栅化器高效剪枝和重算光照系数,实现2-4倍剪枝率和1.5-2倍推理加速,在率失真和速度上优于现有方法。

Comments 15 pages, 12 figures. Submitted to IEEE TCSVT, under review

Journal ref IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2026

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2504.01960 2025-04-03 cs.CV cs.LG 93%

Diffusion-Guided Gaussian Splatting for Large-Scale Unconstrained 3D Reconstruction and Novel View Synthesis

Niluthpol Chowdhury Mithun, Tuan Pham, Qiao Wang, Ben Southall, Kshitij Minhas, Bogdan Matei, Stephan Mandt, Supun Samarasekera, Rakesh Kumar

专题命中 Gaussian Splatting :Gaussian Splatting(title,abstract);3D reconstruction(title,abstract);novel view synthesis(title,abstract);NeRF(abstract)

Comments WACV ULTRRA Workshop 2025

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2605.11266 2026-05-13 cs.CV cs.GR cs.LG 93%

PG-3DGS: Optimizing 3D Gaussian Splatting to Satisfy Physics Objectives

PG-3DGS:优化3D高斯点云以满足物理目标

Zachary Lee, Maxwell Jacobson, Yexiang Xue

机构 * Department of Computer Science, Purdue University(普渡大学计算机科学系)

专题命中 Gaussian Splatting :3DGS(title,title_cn);Gaussian Splatting(title,abstract);分类 cs.CV、cs.GR

AI总结 PG-3DGS通过结合可微物理模拟与3D高斯表示,生成符合物理功能的3D结构,实现视觉与物理功能的平衡。

Comments Submitted to Artificial Intelligence. 52 pages

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2605.29583 2026-05-29 cs.CV 92%

BitC-3DGS: High-Capacity 3D Gaussian Splatting Watermarking via Bit Compression

BitC-3DGS: 基于位压缩的高容量3D高斯泼溅水印技术

Yuquan Bi, Baosheng Yu, Yingke Lei, Jianwei Yang, Hongsong Wang, Jie Gui, Yuan Yan Tang, James Tin-Yau Kwok

机构 * School of Cyber Science and Engineering, Southeast University(东南大学计算机科学与工程学院) Lee Kong Chian School of Medicine, Nanyang Technological University(南洋理工大学李科金医学院) College of Electronic Engineer, National University of Defense and Technology(国防科技大学电子工程学院) Institute of AI for Industries, Chinese Academy of Sciences(中国科学院人工智能产业研究所) School of Computer Science and Engineering, Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, Southeast University(东南大学计算机科学与工程学院,教育部新一代人工智能技术及其交叉应用重点实验室) Department of Computer and Information Science, University of Macau(澳门大学计算机与信息科学系) Faculty of Science and Technology, UOW College Hong Kong(UOW学院香港科技学院理学院) Department of Computer Science and Engineering, The Hong Kong University of Science and Technology(香港科学与技术大学计算机科学与工程学院)

专题命中 Gaussian Splatting :3DGS(title,title_cn);Gaussian Splatting(title,abstract);分类 cs.CV

AI总结 提出BitC-3DGS框架,通过位压缩令牌化、双分支架构和硬消息采样策略,突破CLIP文本编码器77位消息限制,实现高容量3DGS水印嵌入与恢复。

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2501.07478 2025-01-14 cs.GR cs.CV 92%

3DGS-to-PC: Convert a 3D Gaussian Splatting Scene into a Dense Point Cloud or Mesh

Lewis A G Stuart, Michael P Pound

专题命中 Gaussian Splatting :Gaussian Splatting(title,abstract);3DGS(title,abstract);point cloud(title,abstract);3D reconstruction(abstract)

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2607.01556 2026-07-03 cs.CV 新提交 92%

Mind the Gap: Standard 3DGS Evaluation Primarily Measures Near-Trajectory Interpolation

注意差距:标准 3DGS 评估主要衡量近轨迹插值

Gaoxiang Jia, Vikram Appia

机构 * Advanced Micro Devices, Inc.(超威半导体公司)

专题命中 Gaussian Splatting :3DGS(title,title_cn);NeRF(abstract,abstract_cn);Gaussian Splatting(abstract);分类 cs.CV

AI总结 标准 3DGS 评估采用隔帧留出法,实际衡量近轨迹插值而非空间泛化。本文提出匹配计数协议,发现插值与外推之间存在 3~12dB 的稳定差距,该差距跨表示族存在,主要由几何代理分量主导,并建议采用空间留出基准。

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2603.08997 2026-07-02 cs.CV 版本更新 92%

SkipGS: Post-Densification Backward Skipping for Efficient 3DGS Training

SkipGS: 用于高效3DGS训练的后致密化反向跳过

Jingxing Li, Yongjae Lee, Deliang Fan

机构 * Arizona State University(亚利桑那州立大学)

专题命中 Gaussian Splatting :3DGS(title,title_cn);NeRF(abstract,abstract_cn);Gaussian Splatting(abstract);分类 cs.CV

AI总结 针对3DGS训练后致密化阶段反向传播冗余问题,提出视图自适应反向门控机制SkipGS,通过跳过损失稳定的视图反向传播,在保持重建质量的同时减少42%后致密化时间,端到端训练加速23.1%。

Comments Code is available at https://github.com/ASU-ESIC-FAN-Lab/SkipGS

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2605.29136 2026-05-29 cs.CV cs.LG 92%

Eulerian Gaussian Splatting using Hashed Probability Pyramids

使用哈希概率金字塔的欧拉高斯溅射

Mia Gaia Polansky, George Kopanas, Stephan Garbin, Todd Zickler, Dor Verbin

机构 * Harvard University(哈佛大学) Google DeepMind(谷歌DeepMind) Google(谷歌)

专题命中 Gaussian Splatting :NeRF(summary_cn,abstract);3DGS(summary_cn,abstract);Gaussian Splatting(title,abstract);分类 cs.CV

AI总结 提出一种基于概率溅射的辐射场框架,用梯度优化的体积概率密度替代启发式操作,通过多尺度哈希网格实现端到端优化,在mip-NeRF 360上达到SOTA重建质量并保持3DGS渲染速度。

Comments CVPR 2026. Project Page: https://euleriansplatting.github.io

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2607.26578 2026-07-30 cs.CV 新提交 92%

3DGBGS: 3D Granular Ball Gaussian Splatting for Compact Novel View Synthesis

3DGBGS:用于紧凑新视图合成的3D颗粒球高斯溅射

Meng Yang, Shuyin Xia, Dawei Dai, YiWang

机构 * Chongqing University of Posts and Telecommunications(重庆邮电大学) Chongqing Ant Consumer Finance Co., Ltd.(重庆蚂蚁消费金融有限公司)

专题命中 Gaussian Splatting :3DGS(summary_cn,abstract);Gaussian Splatting(title,abstract);novel view synthesis(title);point cloud(abstract)

AI总结 本文针对现有锚点3DGS的空间适应性问题,提出3DGBGS框架,通过自适应颗粒球划分优化锚点,在维持渲染质量的同时降低了锚点数量与模型存储。

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2510.10097 2025-10-28 cs.CV 92%

Gesplat: Robust Pose-Free 3D Reconstruction via Geometry-Guided Gaussian Splatting

Jiahui Lu, Haihong Xiao, Xueyan Zhao, Wenxiong Kang

专题命中 Gaussian Splatting :Gaussian Splatting(title,abstract);3D reconstruction(title,abstract);NeRF(abstract);3DGS(abstract)

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2504.10331 2025-04-22 cs.CV 92%

LL-Gaussian: Low-Light Scene Reconstruction and Enhancement via Gaussian Splatting for Novel View Synthesis

Hao Sun, Fenggen Yu, Huiyao Xu, Tao Zhang, Changqing Zou

机构 * Zhejiang Lab(浙江实验室) University of Chinese Academy of Sciences(中国科学院大学) State Key Lab of CAD&CG, Zhejiang University(浙江大学计算机辅助设计与图形学国家重点实验室) Simon Fraser University(Simon Fraser大学) Hangzhou Dianzi University(杭州电子科技大学)

专题命中 Gaussian Splatting :Gaussian Splatting(title,abstract);novel view synthesis(title,abstract);NeRF(abstract);3DGS(abstract)

Comments Project page: https://sunhao242.github.io/LL-Gaussian_web.github.io/

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2605.19304 2026-05-20 cs.CV cs.GR 92%

MMGS: 10$\times$ Compressed 3DGS through Optimal Transport Aggregation based on Multi-view Ranking

MMGS: 通过多视图排序基于最优传输的10倍压缩3DGS

Beizhen Zhao, Sicheng Yu, Ziran Yin, Dongxu Shen, Hao Wang

机构 * The Hong Kong University of Science and Technology (Guangzhou)(香港科学与技术大学(广州))

专题命中 Gaussian Splatting :3DGS(title,title_cn);Gaussian Splatting(abstract);3D reconstruction(abstract);分类 cs.CV、cs.GR

AI总结 本文提出了一种基于最优传输聚合的多视图排序方法,通过全局几何分布匹配问题优化高斯参数,实现3DGS的10倍压缩和10倍加速训练速度,同时保持高质量渲染效果。

Comments 19 pages

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2605.21051 2026-05-21 eess.IV 92%

Transcoding a 3D Gaussian Splatting Model from a Plenoptic Point Cloud or Mesh without the Original Multi-view Images

从视光点云或网格无原始多视角图像转码3D高斯点播模型

Maja Krivokuća, Riad Bendouro, Neus Sabater

专题命中 Gaussian Splatting :3DGS(summary_cn,abstract);Gaussian Splatting(title,abstract);point cloud(title,abstract)

AI总结 本文提出了一种端到端的转码流程,用于从现有的3D视光点云或网格模型生成3D高斯点播(3DGS)模型,当原始多视角图像不可用时。还提出了一种定制的初始化方法,以引导3DGS模型学习,并通过约束确保最终的3DGS模型与输入点云或网格表面紧密对齐。在高质量的标准视光点云数据集上的测试表明,我们的流程生成高质量的3DGS模型,其点数远少于原始密集点云中的点数。此外,我们的定制初始化方法比通常用于3DGS模型学习的基于SfM的默认初始化方法,导致更快的收敛速度和更干净的表面表示。

Comments Submitted to an ICIP 2026 satellite workshop

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2410.16995 2025-04-14 cs.CV cs.RO eess.IV 92%

E-3DGS: Gaussian Splatting with Exposure and Motion Events

Xiaoting Yin, Hao Shi, Yuhan Bao, Zhenshan Bing, Yiyi Liao, Kailun Yang, Kaiwei Wang

专题命中 Gaussian Splatting :3DGS(title,abstract);Gaussian Splatting(title,abstract);NeRF(abstract);3D reconstruction(abstract)

Comments Accepted to Applied Optics (AO). The source code and dataset will be available at https://github.com/MasterHow/E-3DGS

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2608.02099 2026-08-04 cs.AR cs.AI cs.CV 新提交 92%

DeGS: A Scalable 3DGS Architecture via Decoupled Workload Parsing and Reorganization

DeGS:一种通过解耦工作负载解析与重组实现的可扩展3DGS架构

Minnan Pei, Gang Li, Zeyu Zhu, Siting Wang, Junwen Si, Zhuoran Song, Yu Feng, Fangxin Liu, Xiaoyao Liang, Jian Cheng

专题命中 Gaussian Splatting :3DGS(title,title_cn);Gaussian Splatting(abstract);novel view synthesis(abstract);分类 cs.CV

AI总结 DeGS是一种解耦工作负载解析与重组的可扩展3DGS架构,通过优化数据流提升PE利用率,在多场景多分辨率下较现有3DGS加速器实现吞吐量、加速比与能效提升,高PE扩展时仍保持高利用率。

Comments Accepted to the 59th IEEE/ACM International Symposium on Microarchitecture (MICRO 2026)

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2607.00885 2026-07-02 cs.CV cs.AI 新提交 92%

Improving Sparse-View 3DGS Generalization via Flat Minima Optimization

通过平坦极小值优化改进稀疏视角3DGS泛化能力

Kangmin Seo, Sangeek Hyun, MinKyu Lee, Jae-Pil Heo

机构 * Sungkyunkwan University(成均馆大学)

专题命中 Gaussian Splatting :3DGS(title,title_cn);Gaussian Splatting(abstract);novel view synthesis(abstract);分类 cs.CV

AI总结 针对稀疏视角下3DGS过拟合问题,提出基于平坦极小值优化的轻量训练框架,通过各向异性高斯扰动和周期性重初始化提升泛化性能。

Comments Accepted to ECCV 2026. Project Page: https://kangrnin.github.io/FlatMinGS

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2606.03499 2026-06-03 cs.CV 92%

Characterizing Detectability in 3DGS Poisoning: A Stage-wise Benchmark

表征3DGS投毒中的可检测性:分阶段基准测试

Quoc-Anh Bui-Huynh, Thanh Duc Ngo, Xue Geng, Kaixin Xu, Wang Zhe, Xulei Yang, Ngai-Man Cheung

机构 * Temasek Laboratories, Singapore University of Technology and Design(新加坡科技与设计大学Temasek实验室) Vietnam National University, Ho Chi Minh City(越南国家大学胡志明市分校) University of Information Technology, VNU-HCM(越南国家大学胡志明市信息技术大学) Agency for Science, Technology, and Research (A*STAR)(科技研究局(A*STAR))

专题命中 Gaussian Splatting :3DGS(title,title_cn);Gaussian Splatting(abstract);novel view synthesis(abstract);分类 cs.CV

AI总结 针对3DGS易受多种投毒攻击的问题,提出分阶段基准Poison-3DGS,系统研究各阶段可检测性差异,发现不同攻击在不同阶段产生独特取证信号,后期阶段(如训练动态和高斯参数统计)提供早期不可观测的强线索。

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2605.14629 2026-05-15 eess.IV cs.CV 92%

Efficient Dense Matching for Enhanced Gaussian Splatting Using AV1 Motion Vectors

高效密集匹配用于增强的高斯点云拼接使用AV1运动向量

Julien Zouein, Vibhoothi Vibhoothi, François Pitié, Anil Kokaram

机构 * SigMedia

专题命中 Gaussian Splatting :3DGS(summary_cn,abstract);Gaussian Splatting(title,abstract);NeRF(abstract,abstract_cn);point cloud(abstract)

AI总结 本文提出基于AV1的特征检测与匹配流程,减少SfM计算开销,生成更密集的点云,提升3DGS性能,VMAF提升9点,训练时间减少63%。

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2601.16736 2026-05-11 cs.CV 92%

A Step to Decouple Optimization in 3DGS

在3DGS中实现优化解耦的一步

Renjie Ding, Yaonan Wang, Min Liu, Jialin Zhu, Jiazheng Wang, Jiahao Zhao, Wenting Shen, Feixiang He, Xiang Chen

机构 * National Engineering Research Center of Robot Visual Perception and Control Technology, School of Artificial Intelligence and Robitics, Hunan University(机器人视觉感知与控制技术国家工程研究中心,人工智能与机器人学院,湖南大学) Baidu Inc.(百度公司) Central South University(中南大学)

专题命中 Gaussian Splatting :3DGS(title,title_cn);Gaussian Splatting(abstract);novel view synthesis(abstract);分类 cs.CV

AI总结 本文针对3DGS优化中的耦合问题,提出解耦方法,通过稀疏Adam、重状态正则化和解耦属性正则化提升优化效率和表示效果。

Comments Accepted by ICLR 2026 (fixed typo)

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2503.06740 2026-05-04 cs.CV 92%

Diffusion Models are Secretly Zero-Shot 3DGS Harmonizers

扩散模型实际上是秘密的零样本3DGS和谐者

Vsevolod Skorokhodov, Nikita Durasov, Pascal Fua

机构 * Computer Vision Laboratory, EPFL(EPFL 计算机视觉实验室)

专题命中 Gaussian Splatting :3DGS(title,title_cn);Gaussian Splatting(abstract);novel view synthesis(abstract);分类 cs.CV

AI总结 本文提出D3DR方法,通过扩散模型隐含理解场景光照,实现3DGS场景中物体的自然插入与光照修正,提升视图合成质量。

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2508.06169 2025-08-11 cs.CV cs.AI 92%

UW-3DGS: Underwater 3D Reconstruction with Physics-Aware Gaussian Splatting

Wenpeng Xing, Jie Chen, Zaifeng Yang, Changting Lin, Jianfeng Dong, Chaochao Chen, Xun Zhou, Meng Han

专题命中 Gaussian Splatting :Gaussian Splatting(title,abstract);3DGS(title,abstract);3D reconstruction(title);NeRF(abstract)

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2501.08072 2025-01-15 cs.CV eess.IV 92%

Evaluating Human Perception of Novel View Synthesis: Subjective Quality Assessment of Gaussian Splatting and NeRF in Dynamic Scenes

Yuhang Zhang, Joshua Maraval, Zhengyu Zhang, Nicolas Ramin, Shishun Tian, Lu Zhang

专题命中 Gaussian Splatting :NeRF(title,abstract);Gaussian Splatting(title,abstract);novel view synthesis(title,abstract);分类 cs.CV

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2312.04820 2023-12-11 cs.CV cs.AI 92%

Learn to Optimize Denoising Scores for 3D Generation: A Unified and Improved Diffusion Prior on NeRF and 3D Gaussian Splatting

Xiaofeng Yang, Yiwen Chen, Cheng Chen, Chi Zhang, Yi Xu, Xulei Yang, Fayao Liu, Guosheng Lin

专题命中 Gaussian Splatting :NeRF(title,abstract);Gaussian Splatting(title,abstract);3D generation(title,abstract);分类 cs.CV

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2503.20998 2025-03-28 cs.GR cs.CV 91%

CoMapGS: Covisibility Map-based Gaussian Splatting for Sparse Novel View Synthesis

Youngkyoon Jang, Eduardo Pérez-Pellitero

专题命中 Gaussian Splatting :Gaussian Splatting(title,abstract);novel view synthesis(title,abstract);NeRF(abstract);3DGS(abstract)

Comments Accepted to CVPR 2025, Mistakenly submitted as a replacement for arXiv:2402.11057

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2608.01969 2026-08-04 cs.HC 新提交 91%

3D Gaussian Splatting and Mesh-Based Digital Twins: An Exploratory Study for Virtual Reality Tourism

3D Gaussian Splatting 与基于网格的数字孪生:面向虚拟现实旅游的探索性研究

Maximilian Warsinke, Francesco Vona, Abm Tariqul Islam, Tanja Kojić, Jan-Niklas Voigt-Antons, Sebastian Möller

专题命中 Gaussian Splatting :Gaussian Splatting(title,title_cn);3DGS(summary_cn,abstract)

AI总结 本研究对比了 VR 旅游应用中基于网格与 3DGS 的数字孪生的用户体验,发现 3DGS 真实感更强但实用质量不足,网格版 UX 良好,还提出了临场感与晕动症的优化问题。

Comments Accepted to the 1st Workshop on Hyperrealism in XR at ISMAR 2026

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2410.02103 2026-06-29 cs.CV 版本更新 91%

MVGS: Multi-view Regulated Gaussian Splatting for Novel View Synthesis

MVGS:多视图调控的高斯泼溅用于新视角合成

Xiaobiao Du, Yida Wang, Xin Yu

专题命中 Gaussian Splatting :Gaussian Splatting(title,abstract);novel view synthesis(title);NeRF(abstract,abstract_cn);3DGS(abstract,abstract_cn)

AI总结 提出多视图调控的3D高斯泼溅优化方法,通过多视图训练策略、跨内参引导、交叉射线致密化和多视图增强致密化,解决单视图过拟合问题,提升新视角合成质量和3D几何精度。

Comments ECCV2026, Project Page:https://xiaobiaodu.github.io/mvgs-project/

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2604.13589 2026-04-24 cs.CV 91%

Dehaze-then-Splat: Generative Dehazing with Physics-Informed 3D Gaussian Splatting for Smoke-Free Novel View Synthesis

先去雾后散射:基于物理的3D高斯散射生成去雾与无烟新视角合成

Boss Chen, Hanqing Wang

机构 * The Hong Kong University of Science and Technology (Guangzhou)(香港科技大学(广州))

专题命中 Gaussian Splatting :Gaussian Splatting(title,abstract);novel view synthesis(title,abstract);3DGS(abstract,abstract_cn);3D reconstruction(abstract)

AI总结 本文提出一种两阶段管道,通过生成去雾和新视角合成,解决多视角烟雾去除问题,利用物理引导的3D高斯散射补偿视角不一致。

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2603.14684 2026-03-17 cs.CV 91%

E2EGS: Event-to-Edge Gaussian Splatting for Pose-Free 3D Reconstruction

E2EGS:基于事件的边缘高斯点云化用于无姿态3D重建

Yunsoo Kim, Changki Sung, Dasol Hong, Hyun Myung

专题命中 Gaussian Splatting :Gaussian Splatting(title,abstract);3D reconstruction(title,abstract);NeRF(abstract);3DGS(abstract)

AI总结 E2EGS通过利用事件流中的边缘信息,提出无姿态3D重建框架,提升动态场景下的重建质量和轨迹精度。

Comments 10 pages, 6 figures, accepted to CVPR 2026

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2404.12547 2024-05-27 cs.CV 91%

Evaluating Alternatives to SFM Point Cloud Initialization for Gaussian Splatting

Yalda Foroutan, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi

专题命中 Gaussian Splatting :Gaussian Splatting(title,abstract);point cloud(title,abstract);NeRF(abstract);3DGS(abstract)

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