We introduce GSVisLoc, a visual localization method designed for 3D Gaussian Splatting (3DGS) scene representations. Given a 3DGS model of a scene and a query image, our goal is to estimate the camera's position and orientation. We accomplish this by robustly matching scene features to image features. Scene features are produced by downsampling and encoding the 3D Gaussians while image features are obtained by encoding image patches. Our algorithm proceeds in three steps, starting with coarse matching, then fine matching, and finally by applying pose refinement for an accurate final estimate. Importantly, our method leverages the explicit 3DGS scene representation for visual localization without requiring modifications, retraining, or additional reference images. We evaluate GSVisLoc on both indoor and outdoor scenes, demonstrating competitive localization performance on standard benchmarks while outperforming existing 3DGS-based baselines. Moreover, our approach generalizes effectively to novel scenes without additional training.
Instant GaussianImage: A Generalizable and Self-Adaptive Image Representation via 2D Gaussian Splatting
School of Computer Science & Technology, Huazhong University of Science and Technology（华中科技大学计算机科学与技术学院）；NERCGIS, China University of Geoscience (Wuhan)（中国地质大学（武汉）NERCGIS）；Department of Mathematics, University of South Carolina（南卡罗来纳大学数学系）
REArtGS++: Generalizable Articulation Reconstruction with Temporal Geometry Constraint via Planar Gaussian Splatting
Hefei Institutes of Physical Science, Chinese Academy of Sciences（合肥物理科学研究院，中国科学院）；University of Science and Technology of China（中国科学技术大学）；Hefei University of Technology（合肥工业大学）；RoboticsX, Tencent（腾讯机器人院）；Shanghai Jiao Tong University（上海交通大学）
Stereo-GS: Multi-View Stereo Vision Model for Generalizable 3D Gaussian Splatting Reconstruction
Department of Computer Science, Hong Kong Baptist University（香港 Baptist 大学计算机科学系）；NVIDIA AI Technology Center, NVIDIA（NVIDIA 人工智能技术中心）；School of Control Science and Engineering, Shandong University（控制科学与工程学院，山东大学）
MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo
Great Bay University（湾谷大学）；Huazhong University of Science and Technology（华中科技大学）；Nanyang Technological University（南洋理工大学）；Shanghai AI Laboratory（上海人工智能实验室）
SkySplat: Generalizable 3D Gaussian Splatting from Multi-Temporal Sparse Satellite Images
School of Remote Sensing and Information Engineering, Wuhan University（武汉大学遥感与信息工程学院）；Technology Innovation Center for Collaborative Applications of Natural Resources Data in GBA, Ministry of Natural Resources（粤港澳大湾区自然资源数据协同应用技术创新中心，自然资源部）；Department of Geography and Resource Management, The Chinese University of Hong Kong（香港中文大学地理与资源管理系）；China Railway Siyuan Survey and Design Group Co., LTD（中国铁路syuan调查设计集团有限公司）
LongSplat: Online Generalizable 3D Gaussian Splatting from Long Sequence Images
Beijing Institute of Technology（北京理工大学）；Shenzhen MSU-BIT University（深圳MSU-BIT大学）；Transcengram；The Hong Kong University of Science and Technology（香港科学与技术大学）；The University of Hong Kong（香港大学）
${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting
Institute of Visual Computing, Graz University of Technology（视觉计算研究所，格拉茨技术大学）；School of Electronic and Computer Engineering, Peking University（电子与计算机工程学院，北京大学）
TextSplat: Text-Guided Semantic Fusion for Generalizable Gaussian Splatting
Institute of Artificial Intelligence, Xiamen University（厦门大学人工智能研究所）；Guangdong Laboratory of Artificial Intelligence（广东省人工智能与数字经济实验室）；Peking University（北京大学）；School of Future Technology, South China University of Technology（华南理工大学未来技术学院）；Hangzhou Dianzi University（杭州电子科技大学）；Central Laboratory of Lishui Hospital of Wenzhou Medical University, The First Affiliated Hospital of Lishui University, Lishui People's Hospital（丽水市人民医院中央实验室、丽水大学第一附属医院、丽水人民医院）
Reinforcement Learning with Generalizable Gaussian Splatting
The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））；Zhejiang University（浙江大学）；Beijing Innovation Center of Humanoid Robotics Co., Ltd.（北京人形机器人创新中心有限公司）
RoGSplat: Learning Robust Generalizable Human Gaussian Splatting from Sparse Multi-View Images
School of Computer Science and Engineering, Sun Yat-sen University（中山大学计算机科学与工程学院）；South China University of Technology（华南理工大学）；Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））
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）
EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian Splatting
Function Hub, Hong Kong University of Science and Technology（香港科技大学（广州）功能中心）；Faculty of Robot Science and Engineering, Northeastern University（东北大学机器人科学与工程学院）
UnitedVLN: Generalizable Gaussian Splatting for Continuous Vision-Language Navigation
Nanjing University of Science and Technology（南京理工大学）；Northwest Polytechnical University（西北工业大学）；The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳））；Tsinghua University（清华大学）
Splats in Splats++: Robust and Generalizable 3D Gaussian Splatting Steganography
State Key Laboratory of Multimedia Information Processing and National Engineering Research Center of Visual Technology, School of Computer Science, Peking University（多媒体信息处理国家重点实验室和视觉技术国家工程研究中心、计算机科学学院，北京大学）；Shanghai Key Laboratory of Integrated Administration Technologies for Information Security, School of Computer Science, Shanghai Jiao Tong University（信息安全集成管理技术上海市重点实验室、计算机科学学院，上海交通大学）；National Biomedical Imaging Center, College of Future Technology, Peking University（生物医学成像国家中心、未来技术学院，北京大学）；School of Software, Nanchang University（软件学院，南昌大学）；Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University（生物制药与健康工程研究院，清华大学深圳国际研究生院）
X-SG$^2$S: Safe and Generalizable Gaussian Splatting with X-dimensional Watermarks
South China University of Technology（南方科技大学）；Shenzhen MSU-BIT University（深圳MSU-BIT大学）；Peking University（北京大学）；Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ)（广东省人工智能与数字经济实验室）；Harbin Institute of Technology（哈尔滨工业大学）
