This paper addresses the problem of dynamic scene surface reconstruction using Gaussian Splatting (GS), aiming to recover temporally consistent geometry. While existing GS-based dynamic surface reconstruction methods can yield superior reconstruction, they are typically limited to either a single object or objects with only small deformations, struggling to maintain temporally consistent surface reconstruction of large deformations over time. We propose ``\textit{4DSurf}'', a novel and unified framework for generic dynamic surface reconstruction that does not require specifying the number or types of objects in the scene, can handle large surface deformations and temporal inconsistency in reconstruction. The key innovation of our framework is the introduction of Gaussian deformations induced Signed Distance Function Flow Regularization that constrains the motion of Gaussians to align with the evolving surface. To handle large deformations, we introduce an Overlapping Segment Partitioning strategy that divides the sequence into overlapping segments with small deformations and incrementally passes geometric information across segments through the shared overlapping timestep. Experiments on two challenging dynamic scene datasets, Hi4D and CMU Panoptic, demonstrate that our method outperforms state-of-the-art surface reconstruction methods by 49\% and 19\% in Chamfer distance, respectively, and achieves superior temporal consistency under sparse-view settings.
3D Gaussian Splatting against Moving Objects for High-Fidelity Street Scene Reconstruction
Ontario Knowledge Intelligence Centre, Canada（加拿大安大略知识智能中心）；Canadian Institute of Interscience, Canada（加拿大跨学科科学研究所）；DeepCox Intelligence, Canada（加拿大DeepCox智能科技公司）
MetroGS: Efficient and Stable Reconstruction of Geometrically Accurate High-Fidelity Large-Scale Scenes
Institute of Computing Technology, Chinese Academy of Sciences（中国科学院计算技术研究所）；University of Chinese Academy of Sciences（中国科学院大学）；Beihang University（北京航空航天大学）
ARTDECO: Towards Efficient and High-Fidelity On-the-Fly 3D Reconstruction with Structured Scene Representation
Shanghai Artificial Intelligence Laboratory（上海人工智能实验室）；Fudan University（复旦大学）；Shanghai Innovation Institute（上海创新研究院）；Shanghai Jiao Tong University（上海交通大学）；The Chinese University of Hong Kong（香港中文大学）；Carnegie Mellon University（卡内基梅隆大学）；Zhejiang University（浙江大学）；The University of Hong Kong（香港大学）
SurgicalGaussian: Deformable 3D Gaussians for High-Fidelity Surgical Scene Reconstruction
Center for Digital Media Computing（数字媒体计算中心）；School of Film（电影学院）；School of Informatics（信息学院）；National Institute for Data Science in Health and Medicine（健康与医学数据科学国家研究院）；Xiamen University（厦门大学）；Key Laboratory of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan, Ministry of Culture and Tourism（文化和旅游部闽台非物质文化遗产数字化保护与智能处理重点实验室）；Guangdong Provincial Key Laboratory IRADS（广东省IRADS重点实验室）；BNU-HKBU United International College（北京师范大学-香港浸会大学联合国际学院）；The University of Texas at Dallas（德克萨斯大学达拉斯分校）
ContrastMotion: Self-supervised Scene Motion Learning for Large-Scale LiDAR Point Clouds
Nanjing University of Aeronautics and Astronautics（南京航空航天大学）；Rhino（犀牛（公司））；The Chinese University of Hong Kong（香港中文大学）；OPPO Research Institute（OPPO研究院）；Zhejiang Lab（之江实验室）；ShanghaiTech University（上海科技大学）
HaloGS: Loose Coupling of Compact Geometry and Gaussian Splats for 3D Scenes
Zhejiang University（浙江大学）；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）；Inria（法国国家信息与自动化技术研究院）；The University of Hong Kong（香港大学）
Effective Gaussian Management for High-fidelity Scene Reconstruction
School of Automation, Nanjing University of Posts and Telecommunications（南京邮电大学自动化学院）；school of Communications and Information Engineering, Nanjing University of Posts and Telecommunications（南京邮电大学通信与信息工程学院）；School of Software, Dalian University of Technology（大连理工大学软件学院）；Department of Computer and Information Science, University of Macau（澳门大学计算机与信息科学系）；School of Software and BNRist, Tsinghua University（清华大学软件学院和BNRist）
GARO: Geometry-Aware Redundancy Optimization for Real-Time and High-Fidelity Dynamic Gaussian Splatting
Northwestern Polytechnical University（西北工业大学）；Université Sorbonne Paris Nord（巴黎第十三大学）；EmboMind Research（EmboMind研究院）；Suzhou University of Science and Technology（苏州科技大学）
Incremental Joint Learning of Depth, Pose and Implicit Scene Representation on Monocular Camera in Large-scale Scenes
Institute of Medical Robotics and Department of Automation, Shanghai Jiao Tong University（上海交通大学医学机器人研究所和自动化系）；Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai（系统控制与信息处理重点实验室，教育部，上海）；School of Electrical and Electronic Engineering, Nanyang Technological University（南洋理工大学电子与电气工程学院）
SparseStreet: Sparse Gaussian Splatting for Real-Time Street Scene Simulation
Peking University（北京大学）；Chinese Academy of Sciences（中国科学院）；University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校）；Autonomous Driving Development, NIO（蔚来自动驾驶开发）
High-fidelity 3D Gaussian Inpainting: preserving multi-view consistency and photorealistic details
School of Information Science and Technology, Dalian Maritime University（信息科学与技术学院，大连海洋大学）；School of Science, Zhejiang Sci-Tech University（科学学院，浙江科技大学）
本文提出一种 3D Gaussian 修复框架，通过自动掩码精修和不确定性引导的区域级优化，利用稀疏修复视角重建完整 3D 场景，并在视觉质量与多视角一致性上超过现有方法。
Jagiellonian University, Faculty of Mathematics and Computer Science（杰洛尼摩大学数学与计算机科学学院）；Poznań University of Technology, Institute of Robotics and Machine Intelligence（波兹南技术大学机器人与人工智能研究所）；IDEAS Research Institute（IDEAS研究所）
NuiWorld: Exploring a Scalable Framework for End-to-End Controllable World Generation
Simon Fraser University（西蒙弗雷泽大学）；National Yang Ming Chiao Tung University（国家阳明交通大学）；Simon Fraser University, CIFAR AI Chair, Amii（西蒙弗雷泽大学、CIFAR人工智能主席、Amii）
ActiveSplat: High-Fidelity Scene Reconstruction through Active Gaussian Splatting
School of Optics and Photonics, Beijing Institute of Technology（光学与光子学学院，北京理工大学）；Institute for AI Industry Research (AIR), Tsinghua University（人工智能产业研究院（AIR），清华大学）；School of Vehicle and Mobility, Tsinghua University（车辆与移动学院，清华大学）
ExScene: Free-View 3D Scene Reconstruction with Gaussian Splatting from a Single Image
Shenzhen Future Network of Intelligence Institute（深圳未来智能网络研究院）；School of Science and Engineering, The Chinese University of Hongkong, Shenzhen（香港中文大学（深圳）理工学院）
Robust and High-Fidelity 3D Gaussian Splatting: Fusing Pose Priors and Geometry Constraints for Texture-Deficient Outdoor Scenes
School of Mechatronical Engineering, Beijing Institute of Technology（机械电子工程学院，北京理工大学）；Beiing National Research Center for Information Science and Technology（北京国家信息科学与技术研究中心）；Qiyuan Lab（启元实验室）；Peking University（北京大学）
