Gaussian splatting has recently gained traction as a compelling map representation for SLAM systems, enabling dense and photo-realistic scene modeling. However, its application to monocular SLAM remains challenging due to the lack of reliable geometric cues from monocular input. Without geometric supervision, mapping or tracking could fall in local-minima, resulting in structural degeneracies and inaccuracies. To address this challenge, we propose GaussianFlow SLAM, a monocular 3DGS-SLAM that leverages optical flow as a geometry-aware cue to guide the optimization of both the scene structure and camera poses. By encouraging the projected motion of Gaussians, termed GaussianFlow, to align with the optical flow, our method introduces consistent structural cues to regularize both map reconstruction and pose estimation. Furthermore, we introduce normalized error-based densification and pruning modules to refine inactive and unstable Gaussians, thereby contributing to improved map quality and pose accuracy. Experiments conducted on public datasets demonstrate that our method achieves superior rendering quality and tracking accuracy compared with state-of-the-art algorithms. The source code is available at: https://github.com/url-kaist/gaussianflow-slam.
GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation
University of Southern California（南加州大学）；Google（谷歌）；Pennsylvania State University（宾夕法尼亚州立大学）；Max Planck Institute for Intelligent Systems（马克斯·普朗克智能系统研究所）
MCGS-SLAM: A Multi-Camera SLAM Framework Using Gaussian Splatting for High-Fidelity Mapping
Department of Mathematics, ETH Zurich（苏黎世联邦理工学院数学系）；Department of Mechanical and Process Engineering, ETH Zurich（苏黎世联邦理工学院机械与工艺工程系）；Department of Informatics, University of Zurich（苏黎世大学信息系）；Institute for Photogrammetry, University of Stuttgart（斯图加特大学摄影测量研究所）；Computer Vision and Geometry Group, ETH Zurich（苏黎世联邦理工学院计算机视觉与几何组）；Microsoft Spatial AI Lab（微软空间AI实验室）；Computer Vision Research Group, University of Amsterdam（阿姆斯特丹大学计算机视觉研究组）
GARAD-SLAM: 3D GAussian splatting for Real-time Anti Dynamic SLAM
School of Information and Communication Engineering, Dalian University of Technology（大连理工大学信息与通信工程学院）；School of Aeronautics and Astronautics, Sun Yat-sen University（中山大学航空航天学院）；Faculty of Science and Technology, University of Macau（澳门大学科技学院）
AgriGS-SLAM: Orchard Mapping Across Seasons via Multi-View Gaussian Splatting SLAM
Dipartimento di Bioingegneria, Elettronica e Informazione, Politecnico di Milano（生物工程、电子与信息系，米兰理工大学）；Agricultural Biosystems Engineering, Wageningen University & Research（农业生物系统工程，瓦赫宁根大学与研究）
MBA-SLAM: Motion Blur Aware Gaussian Splatting SLAM
College of Computer Science and Technology at Zhejiang University（浙江大学计算机科学与技术学院）；School of Engineering at Westlake University（西湖大学工程学院）；School of Engineering, Westlake University（西湖大学工程学院）
MG-SLAM: Structure Gaussian Splatting SLAM with Manhattan World Hypothesis
Department of Information Science and Technology and Department of Complexity Science and Engineering, The University of Tokyo（信息科学与技术系和复杂科学与工程系，东京大学）；Institute of Medical Robotics and Department of Automation, Shanghai Jiao Tong University（医疗机器人研究所和自动化系，上海交通大学）；Department of Mechanical Engineering, Columbia University（机械工程系，哥伦比亚大学）；School of Electrical and Electronic Engineering, Nanyang Technological University（电子与电气工程学院，南洋理工大学）；Department of Computer Science, Dalian University of Technology（计算机科学系，大连理工大学）
SemGauss-SLAM: Dense Semantic Gaussian Splatting SLAM
School of Automation and Intelligent Sensing, Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai Jiao Tong University, Shanghai（自动化与智能感知学院、系统控制与信息处理重点实验室、中华人民共和国教育部、上海交通大学、上海）；University of Cambridge, United Kingdom（剑桥大学、英国）
Meituan UAV（美团无人机）；School of Computer Science and Technology, University of Science and Technology of China（中国科学技术大学计算机科学与技术学院）；Dept. of Mechanical Engineering, Computer and Information Sciences, University of Delaware（德雷塞尔大学机械工程、计算机与信息科学系）
EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting
School of Advanced Technology, Xi'an Jiaotong Liverpool University（西安交通大学利物浦大学先进技术学院）；School of AI and Advanced Computing, Xi'an Jiaotong Liverpool University（西安交通大学利物浦大学人工智能与高级计算学院）；School of Physical Sciences, University of Liverpool（利物浦大学物理科学学院）；The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））
Compact 3D Gaussian Splatting For Dense Visual SLAM
Shanghai Jiao Tong University（上海交通大学）；Nanyang Technological University（南洋理工大学）；The University of Tokyo（东京大学）；Harvard University（哈佛大学）；University of Cambridge（剑桥大学）
NRGS-SLAM: Monocular Non-Rigid SLAM for Endoscopy via Deformation-Aware 3D Gaussian Splatting
Department of Mechanical and Automation Engineering and T Stone Robotics Institute, The Chinese University of Hong Kong（机械与自动化工程系和T Stone机器人研究所，香港中文大学）；School of Automation and Intelligent Sensing, the State Key Laboratory of Avionics Integration and Aviation System of-Systems Synthesis, and Shanghai Key Laboratory of Navigation and Location Based Services, Shanghai Jiao Tong University（自动化与智能感知学院、航空系统集成与航空系统综合国家重点实验室、上海导航与定位服务重点实验室，上海交通大学）
RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting
Institute of Robotics and Automatic Information System, Nankai University（南开大学机器人与自动信息系统研究所）；Tianjin Key Laboratory of Intelligent Robotics（天津市智能机器人重点实验室）；TBI center, Nankai University（南开大学TBI中心）
MGSO: Monocular Real-time Photometric SLAM with Efficient 3D Gaussian Splatting
Vision and Image Processing Lab at the Faculty of System Design Engineering, at the University of Waterloo（视觉与图像处理实验室，系统设计工程学院，滑铁卢大学）；Vision and Robotics Lab, Maroun Semaan Faculty of Engineering and Architecture, American University of Beirut（视觉与机器人实验室，马鲁恩·塞马安工程与建筑学院，贝鲁特美国大学）
FGS-SLAM: Fourier-based Gaussian Splatting for Real-time SLAM with Sparse and Dense Map Fusion
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences（中国科学院沈阳自动化研究所机器人重点实验室）；University of Chinese Academy of Sciences（中国科学院大学）；Department of Mechanical and Energy Engineering, Southern University of Science and Technology（南方科技大学机械与能源工程系）
EGS-SLAM: RGB-D Gaussian Splatting SLAM with Events
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore（南洋理工大学电子与电气工程学院）；School of Instrumentation and Optoelectronics Engineering, Beihang University, Beijing, China（北京航空航天大学仪器与光电工程学院）
本文提出 EGS-SLAM 框架，通过融合事件数据与 RGB-D 输入并建模相机连续曝光轨迹，有效解决运动模糊问题，实现了高精度的稳健跟踪与高保真 3D 高斯泼溅重建。
Rad-GS: Radar-Vision Integration for 3D Gaussian Splatting SLAM in Outdoor Environments
Department of Automation, School of Mechanical Engineering and Automation, Harbin Institute of Technology（自动化系、机械工程与自动化学院、哈尔滨工业大学）；School of Computer Science and Technology, Harbin Institute of Technology（计算机科学与技术学院、哈尔滨工业大学）
