3D 视觉

Splat-MOVER: Multi-Stage, Open-Vocabulary Robotic Manipulation via Editable Gaussian Splatting

Ola Shorinwa, Johnathan Tucker, Aliyah Smith, Aiden Swann, Timothy Chen, Roya Firoozi, Monroe Kennedy, Mac Schwager

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

Comments https://splatmover.github.io

FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally

Qiuhong Shen, Xingyi Yang, Xinchao Wang

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

Comments ECCV'2024

TOGS: Gaussian Splatting with Temporal Opacity Offset for Real-Time 4D DSA Rendering

Shuai Zhang, Huangxuan Zhao, Zhenghong Zhou, Guanjun Wu, Chuansheng Zheng, Xinggang Wang, Wenyu Liu

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

NEDS-SLAM: A Neural Explicit Dense Semantic SLAM Framework using 3D Gaussian Splatting

Yiming Ji, Yang Liu, Guanghu Xie, Boyu Ma, Zongwu Xie

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

Comments accepted by RA-L, IEEE Robotics and Automation Letters

ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation

Guanxing Lu, Shiyi Zhang, Ziwei Wang, Changliu Liu, Jiwen Lu, Yansong Tang

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

Comments https://guanxinglu.github.io/ManiGaussian/

4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

Guanjun Wu, Taoran Yi, Jiemin Fang, Lingxi Xie, Xiaopeng Zhang, Wei Wei, Wenyu Liu, Qi Tian, Xinggang Wang

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

Comments CVPR 2024. Project page: https://guanjunwu.github.io/4dgs/

DreamGaussian4D: Generative 4D Gaussian Splatting

Jiawei Ren, Liang Pan, Jiaxiang Tang, Chi Zhang, Ang Cao, Gang Zeng, Ziwei Liu

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

Comments Technical report. Project page is at https://jiawei-ren.github.io/projects/dreamgaussian4d Code is at https://github.com/jiawei-ren/dreamgaussian4d

GDGS: Gradient Domain Gaussian Splatting for Sparse Representation of Radiance Fields

Yuanhao Gong

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

Comments arXiv admin note: text overlap with arXiv:2404.09105

CompGS: Efficient 3D Scene Representation via Compressed Gaussian Splatting

Xiangrui Liu, Xinju Wu, Pingping Zhang, Shiqi Wang, Zhu Li, Sam Kwong

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

Comments Submitted to a conference

MM3DGS SLAM: Multi-modal 3D Gaussian Splatting for SLAM Using Vision, Depth, and Inertial Measurements

Lisong C. Sun, Neel P. Bhatt, Jonathan C. Liu, Zhiwen Fan, Zhangyang Wang, Todd E. Humphreys, Ufuk Topcu

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

Comments Project Webpage: https://vita-group.github.io/MM3DGS-SLAM

Human Gaussian Splatting: Real-time Rendering of Animatable Avatars

Arthur Moreau, Jifei Song, Helisa Dhamo, Richard Shaw, Yiren Zhou, Eduardo Pérez-Pellitero

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

Comments Accepted to CVPR 2024

SplattingAvatar: Realistic Real-Time Human Avatars with Mesh-Embedded Gaussian Splatting

Zhijing Shao, Zhaolong Wang, Zhuang Li, Duotun Wang, Xiangru Lin, Yu Zhang, Mingming Fan, Zeyu Wang

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

Comments [CVPR 2024] Code and data are available at https://github.com/initialneil/SplattingAvatar

Mesh-based Gaussian Splatting for Real-time Large-scale Deformation

Lin Gao, Jie Yang, Bo-Tao Zhang, Jia-Mu Sun, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai

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

Comments 11 pages, 7 figures

SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering

Antoine Guédon, Vincent Lepetit

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

Comments We identified a minor typographical error in Equation 6; We updated the paper accordingly. Project Webpage: https://anttwo.github.io/sugar/

SplatArmor: Articulated Gaussian splatting for animatable humans from monocular RGB videos

Rohit Jena, Ganesh Subramanian Iyer, Siddharth Choudhary, Brandon Smith, Pratik Chaudhari, James Gee

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

Probabilistic Point Cloud Modeling via Self-Organizing Gaussian Mixture Models

Kshitij Goel, Nathan Michael, Wennie Tabib

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

Comments 8 pages, 6 figures, to appear in IEEE Robotics and Automation Letters

Single-Event Upsets in 3D Gaussian Splatting Rendering: Bit-Level Criticality, Spatial Extent, and a Parallel Support Guard

3D高斯泼溅渲染中的单粒子翻转：比特级关键性、空间范围及并行支持防护

Faruk Alpay, Baris Basaran

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

AI总结 本文通过GPU并行故障注入引擎，系统评估了3D高斯泼溅模型中单比特翻转的影响，发现高阶比特翻转可导致单个图元覆盖高达75.7%的帧，并提出一种基于训练坐标框的逐图元参数钳位防护机制，将最坏情况下的损坏面积限制在11.68%以内。

Comments 21 pages, 7 figures, 4 tables; ancillary files provided; artifacts: https://huggingface.co/datasets/Lightcap/seu-3dgs

Learning Hierarchical Sparse Transform Coding for 3DGS Compression

学习分层稀疏变换编码用于3DGS压缩

Hao Xu, Xiaolin Wu, Xi Zhang

机构 * McMaster University, Canada（麦斯威尔大学） ； Nanyang Technological University, Singapore（南洋理工大学） ； Southwest Jiaotong University, China（西南交通大学） 纠错

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

AI总结 本文提出了一种学习分层稀疏变换编码方法，通过引入分析-合成变换和联合优化3DGS表示与熵模型，提升3DGS压缩的R-D性能和解码效率。

Comments Our code will be released at \href{https://github.com/hxu160/SHTC_for_3DGS_compression}{here}

Fast Converging 3D Gaussian Splatting for 1-Minute Reconstruction

快速收敛的3D高斯点撒法用于1分钟重建

Ziyu Zhang, Tianle Liu, Diantao Tu, Shuhan Shen

机构 * University of Chinese Academy of Sciences（中国科学院大学） ； Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所） ； Wuhan University（武汉大学） 纠错

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

AI总结 本文提出了一种快速收敛的3D高斯点撒方法，通过两阶段方案在1分钟内实现高保真重建，取得PSNR 28.43的优异成绩。

Comments First Rank of SIGGRAPH Asia 2025 3DGS Challenge. Code available at https://github.com/will-zzy/siggraph_asia

XYZCylinder: Towards Compatible Feed-Forward 3D Gaussian Splatting for Driving Scenes via Unified Cylinder Lifting Method

XYZCylinder: 通过统一圆柱提升方法实现兼容的前馈3D高斯点云生成用于驾驶场景

Haochen Yu, Qiankun Liu, Hongyuan Liu, Jianfei Jiang, Juntao Lyu, Jiansheng Chen, Huimin Ma

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

AI总结 XYZCylinder通过统一圆柱提升方法实现兼容的前馈3D高斯点云生成，提升驾驶场景重建的兼容性和精度

Comments Feed-Forward, 3D Gaussian Splatting, Project page: https://yuyuyu223.github.io/XYZCYlinder-projectpage/

HairGS: Hair Strand Reconstruction based on 3D Gaussian Splatting

Yimin Pan, Matthias Nießner, Tobias Kirschstein

机构 * The Visual Computing & Artificial Intelligence Group（视觉计算与人工智能小组） 纠错

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

Comments This is the arXiv preprint of the paper "Hair Strand Reconstruction based on 3D Gaussian Splatting" published at BMVC 2025. Project website: https://yimin-pan.github.io/hair-gs/

Spherical-GOF: Geometry-Aware Panoramic Gaussian Opacity Fields for 3D Scene Reconstruction

球面-GOF：面向3D场景重建的几何感知全景高斯不透明场

Zhe Yang, Guoqiang Zhao, Sheng Wu, Kai Luo, Kailun Yang

机构 * School of Artificial Intelligence and Robotics, Hunan University（人工智能与机器人学院，湖南大学） ； National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University（机器人视觉感知与控制技术国家工程研究中心，湖南大学） 纠错

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

AI总结 Spherical-GOF通过球面高斯不透明场实现全景图像的高效渲染，提升3D场景重建的几何一致性和光度质量。

Comments Accepted to IEEE/RSJ IROS 2026. The source code and dataset will be released at https://github.com/1170632760/Spherical-GOF

Structure from Collision

Takuhiro Kaneko

机构 * NTT Corporation（日本通信用电讯公司） 纠错

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

Comments Accepted to CVPR 2025 (Highlight). Project page: https://www.kecl.ntt.co.jp/people/kaneko.takuhiro/projects/sfc/

PAGS: Autofocusing Photoacoustic Tomography via Speed-of-Sound-Adaptive Gaussian Splatting

PAGS：基于声速自适应高斯溅射的光声断层扫描自动聚焦

Jiarui Ge, Jintao Ma, Bangxu Fan, Jinyan Zhang, Xiaokang Yang, Shuai Na, Xiaoyun Yuan

机构 * Shanghai Jiao Tong University（上海交通大学） ； Peking University（北京大学） ； National Biomedical Imaging Center（国家生物医学成像中心） ； Academy for Advanced Interdisciplinary Studies, Peking University（北京大学前沿交叉学科研究院） ； PKU–Nanjing Institute of Translational Medicine（北京大学南京转化医学研究院） 纠错

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

AI总结 PAGS是基于声速自适应高斯溅射的可微分框架，无需声速先验，通过联合优化高斯光声源与声速场，提升了异质介质下光声断层扫描的重建清晰度与稀疏视图鲁棒性，且计算效率更高。

Comments 13 pages, 6 figures

Rendering Novel Views of MRI Using 3D Gaussian Splatting

使用3D高斯泼溅渲染MRI的新视图

Robin Y. Park, Mark C. Eid, Rhydian Windsor, Amir Jamaludin, Ana I. L. Namburete, João F. Henriques, Andrew Zisserman

机构 * Visual Geometry Group, University of Oxford（视觉几何组，牛津大学） ； Oxford Machine Learning in NeuroImaging Lab, University of Oxford（牛津大学神经影像学机器学习实验室） 纠错

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

AI总结 通过3D高斯泼溅从稀疏各向异性MRI重建体积并采样与目标解剖对齐的平面，生成更优的放射学分级视图，相比原始扫描和体素插值方法提高了椎管狭窄分级准确性。

Comments Spotlight at AI4M3D workshop at ECCV 2026

FaCT-GS: Fast and Scalable CT Reconstruction with Gaussian Splatting

FaCT-GS：基于高斯点撒的快速可扩展CT重建

Pawel Tomasz Pieta, Rasmus Juul Pedersen, Sina Borgi, Jakob Sauer Jørgensen, Jens Wenzel Andreasen, Vedrana Andersen Dahl

机构 * Technical University of Denmark（丹麦技术大学） 纠错

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

AI总结 本文提出FaCT-GS框架，通过优化体素化和光栅化流程，实现快速且可扩展的CT重建，比现有方法快4-13倍，适用于不同投影尺寸。

Comments Accepted at the European Conference on Computer Vision (ECCV) 2026

CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting

Kornel Howil, Joanna Waczyńska, Piotr Borycki, Tadeusz Dziarmaga, Marcin Mazur, Przemysław Spurek

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

Comments Accepted to NeurIPS 2025

WildFireGS: Physics-Based Wildfire Simulation in Large-Scale Semantics-Enriched Gaussian Splatting Forest Scenes

WildFireGS：基于物理的大规模语义增强高斯溅射森林场景野火模拟

Nienke Driessen, Joris Rijsdijk, Sören Pirk, Wojtek Palubicki, Dominik L. Michels, Michael Weinmann

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

AI总结 WildFireGS是直接在大规模语义增强3D高斯溅射森林重建结果上运行的基于物理的野火模拟框架，可实现真实环境下的野火模拟，经实验验证其行为物理一致。

Targetless LiDAR-Camera Calibration with Neural Gaussian Splatting

无目标激光雷达-摄像头校准与神经高斯点分布

Haebeom Jung, Namtae Kim, Jungwoo Kim, Jaesik Park

机构 * Department of Interdisciplinary Program in Artificial Intelligence, Seoul National University（人工智能交叉学科项目系，首尔国立大学） ； Department of Artificial Intelligence, Yonsei University（人工智能系，延世大学） 纠错

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

AI总结 本文提出无目标激光雷达-摄像头校准方法，通过神经高斯点分布优化传感器姿态，实现鲁棒且可推广的校准，优于现有方法并在多数据集上表现优异。

Comments IEEE RA-L 2026. Project page: https://zang09.github.io/tlc-calib-site

Journal ref 2026 IEEE Robotics and Automation Letters

Versatile Video Representation via Feed-Forward 2D Gaussian Splatting Tokenization

基于前馈二维高斯溅射标记化的通用视频表示

Zhenghao Chen, Zicong Chen, Lei Liu, Yiming Wu, Dong Xu

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

AI总结 本研究提出基于前馈2DGS标记化的GVT框架，通过STGE与GSP策略实现通用视频表示，在四项视频任务的多数据集评估中，其重建、压缩性能达先进水平，动作识别提升，生成性能可与MAGVIT-v2媲美。

Comments Accepted by ACM MM 2026, Rio de Janeiro, Brazil