3D 视觉

Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splatting

Zheng Zhang, Wenbo Hu, Yixing Lao, Tong He, Hengshuang Zhao

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

A Comparative Evaluation of Geometric Accuracy in NeRF and Gaussian Splatting

神经渲染中NeRF与高斯散射几何精度的比较评估

Mikolaj Zielinski, Eryk Vykysaly, Bartlomiej Biesiada, Jan Baturo, Mateusz Capala, Dominik Belter

机构 * Institute of Robotics and Machine Intelligence, Poznan University of Technology（机器人与机器智能研究所，波兹南技术大学） 纠错

专题命中 Gaussian Splatting ：NeRF(title,title_cn)；Gaussian Splatting(title)；分类 cs.CV、cs.RO

AI总结 本文提出评估神经渲染方法几何精度的流程，包含19个多样场景，系统评估重建方法的表面和形状保真度，补充传统视觉指标。

Rig-Aware 3D Reconstruction of Vehicle Undercarriages using Gaussian Splatting

基于相机 rig 的车辆底盘 3D 重建使用高斯溅射

Nitin Kulkarni, Akhil Devarashetti, Charlie Cluss, Livio Forte, Dan Buckmaster, Philip Schneider, Chunming Qiao, Alina Vereshchaka

机构 * University at Buffalo（布法罗大学） 纠错

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

AI总结 提出一种基于相机 rig 的 3D 重建方法，利用高斯溅射生成逼真的车辆底盘模型，提升检查效率和买家信任度。

Comments 8 pages, 9 figures, Conference: IEEE International Conference on Machine Learning and Applications 2025 (ICMLA 2025): https://www.icmla-conference.org/icmla25/

Enhancing annotations for 5D apple pose estimation through 3D Gaussian Splatting (3DGS)

通过3D高斯点绘（3DGS）增强5D苹果姿态估计的标注

Robert van de Ven, Trim Bresilla, Bram Nelissen, Ard Nieuwenhuizen, Eldert J. van Henten, Gert Kootstra

机构 * organization= Agricultural Biosystems Engineering, Wageningen University \& Research , addressline= Droevendaalsesteeg 1 , city= Wageningen , postcode= 6708 PB , country= the Netherlands ； organization= Agrosystems Research, Wageningen University \& Research , addressline= Droevendaalsesteeg 1 , city= Wageningen , postcode= 6708 PB , country= the Netherlands 纠错

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

AI总结 通过3D高斯点绘技术，简化苹果姿态估计的标注流程，提升训练数据效率与模型性能。

Comments 33 pages, excluding appendices. 17 figures

MrGS: Multi-modal Radiance Fields with 3D Gaussian Splatting for RGB-Thermal Novel View Synthesis

MrGS: 多模态辐射场与3D高斯点云融合用于RGB-热成像新视角合成

Minseong Kweon, Janghyun Kim, Ukcheol Shin, Jinsun Park

机构 * Minnesota Robotics Institute (MnRI), University of Minnesota, Twin Cities（明尼苏达大学罗学院（MnRI）、明尼苏达大学双城分校） ； Department of Information Convergence Engineering (Artificial Intelligence Major), Pusan National University（信息融合工程系（人工智能专业），釜山国立大学） ； Department of Energy Engineering, Korea Institute of Energy Technology (KENTECH)（能源工程系，韩国能源技术研究所（KENTECH）） ； School of Computer Science and Engineering, Pusan National University（计算机科学与工程学院，釜山国立大学） 纠错

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

AI总结 MrGS通过多模态辐射场与3D高斯点云融合，实现RGB和热成像新视角合成，利用物理原理建模热传导和辐射现象，提升重建精度与效率。

Comments Accepted at Thermal Infrared in Robotics (TIRO) Workshop, ICRA 2025 (Best Poster Award)

3DGS_LSR:Large_Scale Relocation for Autonomous Driving Based on 3D Gaussian Splatting

Haitao Lu, Haijier Chen, Haoze Liu, Shoujian Zhang, Bo Xu, Ziao Liu

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

Comments 13 pages,7 figures,4 tables

VoD-3DGS: View-opacity-Dependent 3D Gaussian Splatting

Mateusz Nowak, Wojciech Jarosz, Peter Chin

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

3DGS-CD: 3D Gaussian Splatting-based Change Detection for Physical Object Rearrangement

Ziqi Lu, Jianbo Ye, John Leonard

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

Predictive Photometric Uncertainty in Gaussian Splatting for Novel View Synthesis

预测性光度不确定性在新型视角合成中的高斯点散射应用

Chamuditha Jayanga Galappaththige, Thomas Gottwald, Peter Stehr, Edgar Heinert, Niko Suenderhauf, Dimity Miller, Matthias Rottmann

机构 * QUT Centre for Robotics, Australia（昆士兰大学机器人中心，澳大利亚） ； ARIAM Hub, Australia（ARIAM中心，澳大利亚） ； University of Wuppertal, Germany（乌尔姆大学，德国） ； University of Osnabrück, Germany（奥斯纳布吕克大学，德国） 纠错

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

AI总结 本文提出轻量级框架，通过贝叶斯正则化线性最小二乘优化重建残差，实现像素级视图依赖性预测不确定性，提升3D高斯点散射在自主代理和安全关键应用中的可靠性。

Comments Accepted at ECCV26. Project Page: https://chumsy0725.github.io/3DGS-Uncertainty/

EF-3DGS: Event-Aided Free-Trajectory 3D Gaussian Splatting

Bohao Liao, Wei Zhai, Zengyu Wan, Zhixin Cheng, Wenfei Yang, Tianzhu Zhang, Yang Cao, Zheng-Jun Zha

机构 * University of Science and Technology of China（中国科学技术大学） 纠错

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

Comments Accepted to NeurIPS 2025,Project Page: https://lbh666.github.io/ef-3dgs/

3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting

Zhiyin Qian, Shaofei Wang, Marko Mihajlovic, Andreas Geiger, Siyu Tang

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

Comments Project page: https://neuralbodies.github.io/3DGS-Avatar

GeoFovea-GS: Geometry-Aware Cross-Layer Gaussian Splatting for Wireless Aerial VR

GeoFovea-GS：用于无线空中VR的几何感知跨层高斯点渲染

Zeyi Ren, Wencheng Yan, Jiawen Zhang, Jintao Yan, Sheng Zhou, Zhisheng Niu

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

AI总结 针对无线空中VR中高分辨率视图生成和传输受限，3DGS有几何误差问题，本文提出GeoFovea-GS框架，开发失真度量，将渲染与传输联合选择设为跨层优化问题并设计调度器，实验证明其能降成本提渲染质量。

Comments 7 pages, 5 figures

XFreq-GS: Cross-Frequency Wireless Radiation Field Reconstruction with 3D Gaussian Splatting

XFreq-GS: 基于3D高斯点云的跨频无线辐射场重建

Sheng Wang, Hengtao He, Chaozheng Wen, Jingwen Tong, Xinyu Li, Xiao Li, Jun Zhang, Shi Jin

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

AI总结 本文提出XFreq-GS框架，通过共享几何和频适应射频属性的3D高斯点云实现跨频无线辐射场重建，并合成功率角谱图，优于现有3DGS方法。

GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis

GrainGS：用于高效动态新视图合成的梯度解耦高斯点云渲染

Jiahao He, Yihua Shao, Zhengkai Zhao, Pan Gao, Fei Ma, Jingcai Guo, Hao Tang, Nicu Sebe, Qi Tian

机构 * College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics（南京航空航天大学人工智能学院） ； Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所） ； Department of Computing, Hong Kong Polytechnic University（香港理工大学计算学系） ； School of Computer Science, Peking University（北京大学计算机科学学院） ； Guangdong Laboratory of Artificial Intelligence and Digital Economy（广东省人工智能与数字经济实验室） ； Huawei Consumer Business Group, Huawei（华为消费者业务集团） ； Department of Information Engineering and Computer Science, University of Trento（特伦托大学信息工程与计算机科学系） 纠错

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

AI总结 针对动态场景重建问题，GrainGS结合分层锚点框架与高斯变形，通过静态预热、停止梯度操作等实现各高斯独立预测时间偏移及规范-残差外观分解，在合成和真实多视图基准测试中展现出高重建质量、实时渲染及紧凑存储等优势。

InstantHDR: Single-forward Gaussian Splatting for High Dynamic Range 3D Reconstruction

InstantHDR：单次前向高斯散射用于高动态范围3D重建

Dingqiang Ye, Jiacong Xu, Jianglu Ping, Yuxiang Guo, Chao Fan, Vishal M. Patel

机构 * Johns Hopkins University（约翰霍普金斯大学） ； Shenzhen University（深圳大学） 纠错

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

AI总结 本文提出InstantHDR，通过单次前向传递从未校准的多曝光LDR图像集重建HDR场景，采用几何引导的外观建模和元网络实现通用的场景特定色调映射，提升重建速度。

SR3R: Rethinking Super-Resolution 3D Reconstruction With Feed-Forward Gaussian Splatting

SR3R: 重新思考超分辨率3D重建与前馈高斯点散射

Xiang Feng, Xiangbo Wang, Tieshi Zhong, Chengkai Wang, Yiting Zhao, Tianxiang Xu, Zhenzhong Kuang, Feiwei Qin, Xuefei Yin, Yanming Zhu

机构 * Hangzhou Dianzi University（杭州电子科技大学） ； ShanghaiTech University（上海科技大学） ； Griffith University（格里菲斯大学） ； Peking University（北京大学） 纠错

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

AI总结 SR3R通过前馈高斯点散射框架，直接从稀疏低分辨率视角生成高分辨率3D重建，提升跨场景泛化能力和实时性能。

Comments CVPR 2026

3DGS$^2$-TR: Scalable Second-Order Trust-Region Method for 3D Gaussian Splatting

3DGS$^2$-TR：一种用于3D高斯点云的可扩展的二次信任区域方法

Roger Hsiao, Yuchen Fang, Xiangru Huang, Ruilong Li, Hesam Rabeti, Zan Gojcic, Javad Lavaei, James Demmel, Sophia Shao

机构 * University of California, Berkeley（加州大学伯克利分校） ； NVIDIA（英伟达） 纠错

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

AI总结 3DGS$^2$-TR提出了一种基于信任区域的二次优化方法，通过高效计算和低内存开销实现3D高斯点云场景训练的加速与扩展。

Bridging Geometry-Coherent Text-to-3D Generation with Multi-View Diffusion Priors and Gaussian Splatting

弥合几何一致性文本到3D生成与多视图扩散先验和高斯点云

Feng Yang, Wenliang Qian, Wangmeng Zuo, Hui Li

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

AI总结 本文提出耦合分数蒸馏框架，通过多视图联合分布先验和高斯点云优化，实现几何一致的文本到3D生成。

Comments Accepted by Neural Networks. The final published version is available at https://doi.org/10.1016/j.neunet.2025.108511

GaussianPlant: Structure-aligned Gaussian Splatting for 3D Reconstruction of Plants

GaussianPlant: 基于结构对齐的高斯点云用于植物3D重建

Yang Yang, Risa Shinoda, Hiroaki Santo, Fumio Okura

机构 * The University of Osaka（大阪大学） 纠错

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

AI总结 GaussianPlant通过结构对齐的高斯点云方法，实现植物高精度外观与结构的3D重建，适用于植物表型分析。

Comments Submitted to IEEE TPAMI, under review

DGNS: Deformable Gaussian Splatting and Dynamic Neural Surface for Monocular Dynamic 3D Reconstruction

Xuesong Li, Jinguang Tong, Jie Hong, Vivien Rolland, Lars Petersson

机构 * Industrial Research Organisation, Canberra, ACT Australia ； College of Engineering Computing \& Cybernetics, The Australian National University, Canberra, ACT Australia ； Faculty of Engineering, The University of Hong Kong, Hong Kong SAR China ； Industrial Research Organisation ； College of Engineering Computing \& Cybernetics, The Australian National University ； Faculty of Engineering, The University of Hong Kong 纠错

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

Novel View Synthesis with Gaussian Splatting: Impact on Photogrammetry Model Accuracy and Resolution

Pranav Chougule

机构 * MS in Robotics \& Autonomous Systems School for Engineering of Matter, Transport \& Energy Arizona State University Tempe, USA 纠错

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

PointGauss: Point Cloud-Guided Multi-Object Segmentation for Gaussian Splatting

Wentao Sun, Hanqing Xu, Quanyun Wu, Dedong Zhang, Yiping Chen, Lingfei Ma, John S. Zelek, Jonathan Li

机构 * University of Waterloo（滑铁卢大学） ； East China Normal University（东华大学） ； Sun Yat-Sen University（中山大学） 纠错

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

Comments 22 pages, 9 figures

RegGS: Unposed Sparse Views Gaussian Splatting with 3DGS Registration

Chong Cheng, Yu Hu, Sicheng Yu, Beizhen Zhao, Zijian Wang, Hao Wang

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

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

Comments Accepted to ICCV 2025

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes

Pou-Chun Kung, Skanda Harisha, Ram Vasudevan, Aline Eid, Katherine A. Skinner

机构 * University of Michigan（密歇根大学） 纠错

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

You Need a Transition Plane: Bridging Continuous Panoramic 3D Reconstruction with Perspective Gaussian Splatting

Zhijie Shen, Chunyu Lin, Shujuan Huang, Lang Nie, Kang Liao, Yao Zhao

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

DirectTriGS: Triplane-based Gaussian Splatting Field Representation for 3D Generation

Xiaoliang Ju, Hongsheng Li

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

Comments Accepted by CVPR 2025

Micro-macro Wavelet-based Gaussian Splatting for 3D Reconstruction from Unconstrained Images

Yihui Li, Chengxin Lv, Hongyu Yang, Di Huang

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

Comments 11 pages, 6 figures,accepted by AAAI 2025

Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis

Zhiyuan Min, Yawei Luo, Jianwen Sun, Yi Yang

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

Comments NeurIPS 2024

3DGS-Enhancer: Enhancing Unbounded 3D Gaussian Splatting with View-consistent 2D Diffusion Priors

Xi Liu, Chaoyi Zhou, Siyu Huang

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

Comments Accepted by NeurIPS 2024 Spotlight

Robust 3D Gaussian Splatting for Novel View Synthesis in Presence of Distractors

Paul Ungermann, Armin Ettenhofer, Matthias Nießner, Barbara Roessle

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

Comments GCPR 2024, Project Page: https://paulungermann.github.io/Robust3DGaussians , Video: https://www.youtube.com/watch?v=P9unyR7yK3E