3D 视觉

On the Error Analysis of 3D Gaussian Splatting and an Optimal Projection Strategy

Letian Huang, Jiayang Bai, Jie Guo, Yuanqi Li, Yanwen Guo

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

Comments Accepted by ECCV2024; Project Page: https://letianhuang.github.io/op43dgs/

BiGS: Bidirectional Gaussian Primitives for Relightable 3D Gaussian Splatting

Zhenyuan Liu, Yu Guo, Xinyuan Li, Bernd Bickel, Ran Zhang

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

Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting

Yunzhi Yan, Haotong Lin, Chenxu Zhou, Weijie Wang, Haiyang Sun, Kun Zhan, Xianpeng Lang, Xiaowei Zhou, Sida Peng

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

Comments Project page: https://zju3dv.github.io/street_gaussians/

Touch-GS: Visual-Tactile Supervised 3D Gaussian Splatting

Aiden Swann, Matthew Strong, Won Kyung Do, Gadiel Sznaier Camps, Mac Schwager, Monroe Kennedy

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

Comments 8 pages, 7 figures

SpectralGaussians: Semantic, spectral 3D Gaussian splatting for multi-spectral scene representation, visualization and analysis

Saptarshi Neil Sinha, Holger Graf, Michael Weinmann

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

Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracing

Jian Gao, Chun Gu, Youtian Lin, Zhihao Li, Hao Zhu, Xun Cao, Li Zhang, Yao Yao

专题命中 Gaussian Splatting ：point cloud(title)；Gaussian Splatting(abstract)；novel view synthesis(abstract)；分类 cs.CV、cs.GR

EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting

Lingting Zhu, Zhao Wang, Jiahao Cui, Zhenchao Jin, Guying Lin, Lequan Yu

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

Comments Accepted by Embodied AI and Robotics for HealTHcare of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI EARTH 2024). 11 pages, 4 figures

Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion

Ziyuan Qu, Omkar Vengurlekar, Mohamad Qadri, Kevin Zhang, Michael Kaess, Christopher Metzler, Suren Jayasuriya, Adithya Pediredla

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

RaDe-GS: Rasterizing Depth in Gaussian Splatting

Baowen Zhang, Chuan Fang, Rakesh Shrestha, Yixun Liang, Xiaoxiao Long, Ping Tan

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

Taming 3DGS: High-Quality Radiance Fields with Limited Resources

Saswat Subhajyoti Mallick, Rahul Goel, Bernhard Kerbl, Francisco Vicente Carrasco, Markus Steinberger, Fernando De La Torre

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

Trim 3D Gaussian Splatting for Accurate Geometry Representation

Lue Fan, Yuxue Yang, Minxing Li, Hongsheng Li, Zhaoxiang Zhang

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

Comments Project page: https://trimgs.github.io/

RefGaussian: Disentangling Reflections from 3D Gaussian Splatting for Realistic Rendering

Rui Zhang, Tianyue Luo, Weidong Yang, Ben Fei, Jingyi Xu, Qingyuan Zhou, Keyi Liu, Ying He

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

3D Gaussian Splatting with Deferred Reflection

Keyang Ye, Qiming Hou, Kun Zhou

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

GSEdit: Efficient Text-Guided Editing of 3D Objects via Gaussian Splatting

Francesco Palandra, Andrea Sanchietti, Daniele Baieri, Emanuele Rodolà

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

Comments 8 pages, 8 figures

Interactive3D: Create What You Want by Interactive 3D Generation

Shaocong Dong, Lihe Ding, Zhanpeng Huang, Zibin Wang, Tianfan Xue, Dan Xu

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

Comments project page: https://interactive-3d.github.io/

EGGS: Edge Guided Gaussian Splatting for Radiance Fields

Yuanhao Gong

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

SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes

Yi-Hua Huang, Yang-Tian Sun, Ziyi Yang, Xiaoyang Lyu, Yan-Pei Cao, Xiaojuan Qi

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

Comments Code link: https://github.com/yihua7/SC-GS

Snap-it, Tap-it, Splat-it: Tactile-Informed 3D Gaussian Splatting for Reconstructing Challenging Surfaces

Mauro Comi, Alessio Tonioni, Max Yang, Jonathan Tremblay, Valts Blukis, Yijiong Lin, Nathan F. Lepora, Laurence Aitchison

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

Comments 17 pages

Modeling uncertainty for Gaussian Splatting

Luca Savant, Diego Valsesia, Enrico Magli

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

GaussianGrasper: 3D Language Gaussian Splatting for Open-vocabulary Robotic Grasping

Yuhang Zheng, Xiangyu Chen, Yupeng Zheng, Songen Gu, Runyi Yang, Bu Jin, Pengfei Li, Chengliang Zhong, Zengmao Wang, Lina Liu, Chao Yang, Dawei Wang, Zhen Chen, Xiaoxiao Long, Meiqing Wang

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

360-GS: Layout-guided Panoramic Gaussian Splatting For Indoor Roaming

Jiayang Bai, Letian Huang, Jie Guo, Wen Gong, Yuanqi Li, Yanwen Guo

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

Comments 11 pages, 10 figures

Depth-Regularized Optimization for 3D Gaussian Splatting in Few-Shot Images

Jaeyoung Chung, Jeongtaek Oh, Kyoung Mu Lee

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

Comments 10 pages, 5 figures; Project page: robot0321.github.io/DepthRegGS

CORF-GS: Real-Time Wireless Radiance Field Reconstruction via Coupled Optical-RF Gaussian Splatting

CORF-GS：通过耦合光学-射频高斯格点法进行实时无线辐射场重建

Jinya Zhang, Jiajia Guo, Chao-Kai Wen, Shi Jin

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

AI总结 提出CORF-GS实时无线辐射场重建框架，通过处理光学和射频关键帧，构建统一高斯表示，利用光学引导采样和耦合优化，实现了高射频频谱合成质量并大幅减少重建时间。

Comments A collection of paper on 3DGS for Wireless Communications can be found at https://github.com/AI4Wireless/3DGS4Wireless

SRGS: Super-Resolution 3D Gaussian Splatting

SRGS：超分辨率3D高斯溅射

Xiang Feng, Yongbo He, Linxi Chen, Yan Yang, Chengkai Wang, Yifei Chen, Yixuan Zhong, Zhenzhong Kuang, Jiajun ding, Xufei Yin, Yanming Zhu

机构 * Hangzhou Dianzi University（杭州电子科技大学） ； ShanghaiTech University（上海科技大学） ； Zhejiang University（浙江大学） ； Tsinghua University（清华大学） ； Xiangtan University（湘潭大学） ； Griffith University（格里菲斯大学） 纠错

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

AI总结 本文提出统一的模块化框架，将3DGS超分辨率分解为先验注入和跨视图正则化，分析了多种方法的改进来源，并通过实验验证了方法的鲁棒性。

Comments The first to focus on the HRNVS of 3DGS

ImprovedGS+: A High-Performance C++/CUDA Re-Implementation Strategy for 3D Gaussian Splatting

改进的GS+：一种用于3D高斯点绘制的高性能C++/CUDA重实现策略

Jordi Muñoz Vicente

机构 * Universidad de Murcia（穆尔西亚大学） 纠错

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

AI总结 改进的GS+通过C++/CUDA实现，提升了3D高斯点绘制的效率与质量，实现更快的训练速度和更优的视觉效果。

Comments 6 pages, 1 figure. Technical Report. This work introduces ImprovedGS+, a library-free C++/CUDA implementation for 3D Gaussian Splatting within the LichtFeld-Studio framework. Source code available at https://github.com/jordizv/ImprovedGS-Plus

Intellectual Property Protection for 3D Gaussian Splatting Assets: A Survey

3D高斯散射资产的知识产权保护：一篇综述

Longjie Zhao, Ziming Hong, Jiaxin Huang, Runnan Chen, Mingming Gong, Tongliang Liu

机构 * Sydney AI Centre, The University of Sydney（悉尼人工智能中心，悉尼大学） ； The University of Melbourne（墨尔本大学） ； Mohamed bin Zayed University of Artificial Intelligence（莫莫迪·本·扎耶德人工智能大学） 纠错

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

AI总结 本文综述了3D高斯散射资产的知识产权保护，分析了其底层机制、保护范式及鲁棒性挑战，并提出了六个研究方向以推动可靠保护技术的发展。

Comments A collection of relevant papers is summarized and will be continuously updated at \url{https://github.com/tmllab/Awesome-3DGS-IP-Protection}

Frequency-Aware Gaussian Splatting Decomposition

频感知高斯散射分解

Yishai Lavi, Leo Segre, Shai Avidan

机构 * Tel Aviv University（特拉维夫大学） 纠错

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

AI总结 本文提出一种频感知高斯散射分解方法，通过分组和正则化提升3D重建质量与渲染效率，支持动态细节级别渲染等新功能。

Comments Accepted to the International Conference on 3D Vision (3DV) 2026

3DGS-LM: Faster Gaussian-Splatting Optimization with Levenberg-Marquardt

Lukas Höllein, Aljaž Božič, Michael Zollhöfer, Matthias Nießner

机构 * Technical University of Munich（慕尼黑技术大学） ； Meta 纠错

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

Comments Accepted to ICCV 2025. Project page: https://lukashoel.github.io/3DGS-LM, Video: https://www.youtube.com/watch?v=tDiGuGMssg8, Code: https://github.com/lukasHoel/3DGS-LM

FLoD: Integrating Flexible Level of Detail into 3D Gaussian Splatting for Customizable Rendering

Yunji Seo, Young Sun Choi, Hyun Seung Son, Youngjung Uh

机构 * Yonsei University（延世大学） 纠错

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

Comments Project page: https://3dgs-flod.github.io/flod/

Identifying Unnecessary 3D Gaussians using Clustering for Fast Rendering of 3D Gaussian Splatting

Joongho Jo, Hyeongwon Kim, Jongsun Park

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

Comments Our claim that Step 1 of 3D Gaussian splatting accounts for ~50% of rendering (Fig. 2) was incorrect. Rerunning simulations showed it's only ~20%. Consequently, our method's performance decreased by ~40% from initial reports. We're exploring new directions but have no concrete plans yet. To avoid reader confusion, we're withdrawing the paper and will resubmit once revised