Recent advances in neural rendering, particularly 3D Gaussian Splatting (3DGS), have enabled real-time rendering of complex scenes. However, standard 3DGS relies on spherical harmonics, which often struggle to accurately capture high-frequency view-dependent effects such as sharp reflections and transparency. While hybrid approaches like Viewing Direction Gaussian Splatting (VDGS) mitigate this limitation using classical Multi-Layer Perceptrons (MLPs), they remain limited by the expressivity of classical networks in low-parameter regimes. In this paper, we introduce QuantumGS, a novel hybrid framework that integrates Variational Quantum Circuits (VQC) into the Gaussian Splatting pipeline. We propose a unique encoding strategy that maps the viewing direction directly onto the Bloch sphere, leveraging the natural geometry of qubits to represent 3D directional data. By replacing classical color-modulating networks with quantum circuits generated via a hypernetwork or conditioning mechanism, we achieve higher expressivity and better generalization. Source code is available in the supplementary material. Code is available at https://github.com/gwilczynski95/QuantumGS
GrapeSplat: Geometry-Grounded Reconstruction via Amalgamated Pose-Free Encoding for Feed-Forward 3D Gaussian Splatting
National Taiwan University（国立台湾大学）；National Taiwan University of Science and Technology（国立台湾科技大学）；NTU AI Center of Research Excellence (NTU AI-CoRE)（台湾大学人工智能卓越研究中心）；VinUniversity（Vin大学）
GS4City: Hierarchical Semantic Gaussian Splatting via City-Model Priors
Technical University of Munich (TUM)（慕尼黑工业大学）；Munich Center for Machine Learning (MCML)（慕尼黑机器学习中心）；Karlsruhe Institute of Technology (KIT)（卡尔斯鲁厄理工学院）；CV4DT, University of Cambridge（剑桥大学CV4DT）
GS^2: Graph-based Spatial Distribution Optimization for Compact 3D Gaussian Splatting
Key Laboratory of Big Data and Artificial Intelligence in Transportation, Ministry of Education（交通大数据与人工智能教育部重点实验室；北京交通大学计算机与信息技术学院）；School of Computer and Information Technology, Beijing Jiaotong University（西湖大学人工智能系）；Department of Artificial Intelligence, Westlake University
GS-Octree: Octree-based 3D Gaussian Splatting for Robust Object-level 3D Reconstruction Under Strong Lighting
College of Computing and Data Science（计算与数据科学学院）；Nanyang Technological University（南洋理工大学）；International School of Information Science & Engineering（信息科学与工程国际学院）；Dalian University of Technology（大连理工大学）；Institute of Software（软件研究所）；Chinese Academy of Sciences（中国科学院）；InnoPeak Technology, Inc.（InnoPeak科技公司）
School of Computer Science and Technology, Huazhong University of Science and Technology（华中科技大学计算机科学与技术学院）；School of Software Technology, Zhejiang University（浙江大学软件学院）
NG-GS: NeRF-Guided 3D Gaussian Splatting Segmentation
Key Laboratory of Big Data and Artificial Intelligence in Transportation, Ministry of Education（交通大数据与人工智能联合实验室，教育部）；School of Computer and Information Technology, Beijing Jiaotong University（北京交通大学计算机与信息学院）；Department of Artificial Intelligence, Westlake University（西湖大学人工智能学院）
GaussVid: Sparse-View Gaussian Splatting with 3D-Aware Video Diffusion Priors
The University of Hong Kong（香港大学）；School of Computing and Data Science, The University of Hong Kong（香港大学计算与数据科学学院）；Futurewei Technologies Inc（华为主流技术公司）
${C}^{3}$-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）
ObjectGS: Object-aware Scene Reconstruction and Scene Understanding via Gaussian Splatting
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）；The Chinese University of Hong Kong（香港中文大学）；The University of Hong Kong（香港大学）
GaussianEmoTalker: Real-Time Emotional Talking Head Synthesis with Audio-Driven and Blendshape-Based 3D Gaussian Splatting
PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology（南京理工大学计算机科学与工程学院，教育部高维信息智能感知与系统重点实验室，PCA实验室）；Tsientang Institute for Advanced Study（浙江大学前沿交叉研究院）；School of Intelligence Science and Technology, Nanjing University（南京大学智能科学与技术学院）
GaussianPile: A Unified Sparse Gaussian Splatting Framework for Slice-based Volumetric Reconstruction
Tsinghua University（清华大学）；Zhongguancun Academy（中关村学院）；Beijing Normal University（北京师范大学）；Nankai University（南开大学）；Beijing Institute of Technology（北京理工大学）；Beihang University（北航）
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）
4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
School of CS, Huazhong University of Science and Technology（华中科技大学计算机学院）；School of EIC, Huazhong University of Science and Technology（华中科技大学电子信息与通信学院）；Huawei Inc.（华为公司）
Appearance Decomposition Gaussian Splatting for Multi-Traversal Reconstruction
Department of Automation, Key Laboratory of System Control and Information Processing of Ministry of Education, State Key Laboratory of Avionics Integration and Aviation System-of-Systems Synthesis, Shanghai Jiao Tong University（上海交通大学自动化系，系统控制与信息处理教育部重点实验室，航空电子集成与航空系统综合国家重点实验室）
AnySplat: Feed-forward 3D Gaussian Splatting from Unconstrained Views
University of Science and Technology of China（科学技术大学）；Shanghai Artificial Intelligence Laboratory（上海人工智能实验室）；The Chinese University of Hong Kong（香港中文大学）；Brown University（布朗大学）；Shanghai Jiao Tong University（交通大学）；The University of Hong Kong（香港大学）
