Existing offline feed-forward methods for joint scene understanding and reconstruction on long image streams often repeatedly perform global computation over an ever-growing set of past observations, causing runtime and GPU memory to increase rapidly with sequence length and limiting scalability. We propose Streaming Semantic Gaussian Splatting (S2GS), a strictly causal, incremental 3D Gaussian semantic field framework: it does not leverage future frames and continuously updates scene geometry, appearance, and instance-level semantics without reprocessing historical frames, enabling scalable online joint reconstruction and understanding. S2GS adopts a geometry-semantic decoupled dual-backbone design: the geometry branch performs causal modeling to drive incremental Gaussian updates, while the semantic branch leverages a 2D foundation vision model and a query-driven decoder to predict segmentation masks and identity embeddings, further stabilized by query-level contrastive alignment and lightweight online association with an instance memory. Experiments show that S2GS matches or outperforms strong offline baselines on joint reconstruction-and-understanding benchmarks, while significantly improving long-horizon scalability: it processes 1,000+ frames with much slower growth in runtime and GPU memory, whereas offline global-processing baselines typically run out of memory at around 80 frames under the same setting.
MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, University of Science and Technology of China（脑启发式智能感知与认知联合实验室，中国科学技术大学）；University of Missouri, Kansas City（密苏里大学，堪萨斯城）
AquaFlow: A Monocular Gaussian Splatting SLAM for Underwater Streaming Reconstruction
Zhejiang University（浙江大学）；Shanghai AI Laboratory（上海人工智能实验室）；Shanghai Jiao Tong University（上海交通大学）；Tsinghua University（清华大学）；The University of Hong Kong（香港大学）；The Chinese University of Hong Kong（香港中文大学）
Scale-GS: Efficient Scalable Gaussian Splatting via Redundancy-filtering Training on Streaming Content
School of Computer Science and Technology, Dalian University of Technology（大连理工大学计算机科学与技术学院）；Key Laboratory of Social Computing and Cognitive Intelligence (Dalian University of Technology), Ministry of Education（社会科学与认知智能重点实验室（大连理工大学））；Department of Automation, Tsinghua University（清华大学自动化系）
GSStream: 3D Gaussian Splatting based Volumetric Scene Streaming System
College of Computer Science and Software Engineering, Shenzhen University（深圳大学计算机科学与软件工程学院）；Department of Computer Science, City University of Hong Kong（香港城市大学计算机科学系）；School of Electronic Information and Communications, Huazhong University of Science and Technology（华中科技大学电子信息与通信学院）
CSS: Overcoming Pose and Scene Challenges in Crowd-Sourced 3D Gaussian Splatting
Beijing University of Posts and Telecommunications（北京邮电大学）；Institute of Computing Technology, Chinese Academy of Sciences（中国科学院计算技术研究所）；China Unicom Smart City Research Institute（中国联通智慧城市研究院）
3DitScene: Editing Any Scene via Language-guided Disentangled Gaussian Splatting
The Chinese University of Hong Kong（香港中文大学）；Stanford University（斯坦福大学）；Snap Inc.（Snap公司）；University of California Los Angeles（加利福尼亚大学洛杉矶分校）；ByteDance（字节跳动）
SurgicalGS: Dynamic 3D Gaussian Splatting for Accurate Robotic-Assisted Surgical Scene Reconstruction
The Hamlyn Centre for Robotic Surgery, Imperial College London（伦敦帝国理工学院哈姆林 robotic外科中心）；Hawkes Institute, University College London（伦敦大学学院霍克斯研究所）；University of Liverpool（利物浦大学）
Holistic Large-Scale Scene Reconstruction via Mixed Gaussian Splatting
School of Computer Science, Wuhan University（武汉大学计算机学院）；School of Artificial Intelligence, Wuhan University（武汉大学人工智能学院）；School of Electronic Information, Wuhan University（武汉大学电子信息学院）；State Key Lab. of LIESMARS, Wuhan University（武汉大学LIESMARS国家重点实验室）；Institute for Math & AI, Wuhan University（武汉大学数学与人工智能研究院）
SceneSplat++: A Large Dataset and Comprehensive Benchmark for Language Gaussian Splatting
Nanjing University of Aeronautics and Astronautics（南京航空航天大学）；ETH Zürich（苏黎世联邦理工学院）；University of Amsterdam（阿姆斯特丹大学）；Johns Hopkins University（约翰·霍普金斯大学）；University of Pisa（比萨大学）；University of Trento（特伦托大学）
Horizon-GS: Unified 3D Gaussian Splatting for Large-Scale Aerial-to-Ground Scenes
University of Science and Technology of China（中国科学技术大学）；Shanghai Artificial Intelligence Laboratory（上海人工智能实验室）；Shanghai Jiao Tong University（上海交通大学）；The Chinese University of Hong Kong（香港中文大学）；Brown University（布朗大学）；The University of Hong Kong（香港大学）
DreamScape: 3D Scene Creation via Gaussian Splatting joint Correlation Modeling
School of Computer Science and Engineering, Beihang University（北京航空航天大学计算机科学与工程学院）；School of Artificial Intelligence, Beihang University（北京航空航天大学人工智能学院）；Shanghai Artificial Intelligence Laboratory（上海人工智能实验室）
LoD-Structured 3D Gaussian Splatting for Streaming Video Reconstruction
School of Computing and Data Science, The University of Hong Kong（计算与数据科学学院，香港大学）；Futurewei Technologies Inc（未来科技公司）；School of Computer and Information Sciences, The University of Newcastle（计算机与信息科学学院，新castle大学）
Seeing Through Reflections: Advancing 3D Scene Reconstruction in Mirror-Containing Environments with Gaussian Splatting
School of Automation and Intelligent Sening, Shanghai Jiao Tong University（自动化与智能传感学院，上海交通大学）；Ningbo Artificial Intelligence Institute, Shanghai Jiao Tong University（宁波人工智能研究所，上海交通大学）
