3D Gaussian Splatting

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Mind the Gap: Mixtures of Gaussians in Approximate Differential Privacy
May 27, 2026Huikang Liu, Aras Selvi, Wolfram WiesemannDifferential Privacy Gaussian Mixture Models
Proper Agnostic Learning of Functions of Halfspaces under Gaussian Marginals
May 26, 2026Sergei Tikhonov, Arsen VasilyanOptimal Sample Complexity Binary Classification
On the Subgaussianity of Quantized Linear Maps: An AI-Assisted Note
May 26, 2026Guangyi Zou, Roman VershyninConcentration Inequalities 3D Gaussian Splatting
Risk Averse Alert Prioritization for IDS Using Subnormal Gaussian Fuzzy Models
May 26, 2026Murat MoranIntrusion Detection Early Warning
Gaussian Process-based learning with new MCMC-based implementation of Wishart prior on correlation matrix
May 26, 2026Kane Warrior, Dalia ChakrabartyGaussian Process Covariance Estimation
DelowlightSplat: Feed-Forward Gaussian Splatting for Lowlight 3D Scene Reconstruction
May 26, 2026Fuzhen Jiang, Zengtian Xie, Zhuoran LiNovel View Synthesis Feed-Forward 3D Gaussian Reconstruction
Gaussian-Voxel Duet: A Dual-Scaffolding Hybrid Representation for Fast and Accurate Monocular Surface Reconstruction
May 26, 2026Zhenhua Du, Zhen Tan, Haoyu Zhang +3Voxel 3D Gaussian Splatting
TrackRef3D: Multi-View Consistent Track-then-Label for Open-World Referring Segmentation in 3D Gaussian Splatting
May 26, 2026Yuyang Tan, Renhe Zhang, Hang Zhang +23D Semantic Segmentation 3D Gaussian Splats
3D Gaussian Map with Open-Set Semantic Grouping for Vision-Language Navigation
May 26, 2026Jianzhe Gao, Rui Liu, Wenguan WangVision-Language Navigation 3D Scene Understanding
Underwater360: Reconstructing Underwater Scenes from Panoramic Images with Omnidirectional Gaussian Splatting
May 26, 2026Jiangbei Hu, Weichao Song, Shibo Yu +8Underwater Imagery Underwater Image Enhancement
Classification and detection of multiple UAVs using rational Gaussian wavelet neural networks
May 25, 2026Ungvári Gergő, Ferenc Braun, Attila Ámon +4Unmanned Aerial Vehicle Detection Uncrewed Aerial Vehicles
Collaborative Navigation and Exploration with $β$ -Sparse Gaussian Processes
May 25, 2026Evangelos Psomiadis, Dipankar Maity, Panagiotis TsiotrasSocial Robot Navigation Simultaneous Localization And Mapping
F-RNG: Feed-Forward Relightable Neural Gaussians
May 25, 2026Guangming Fu, Jiahui Fan, Jian Yang +2Image Relighting Neural Rendering
Accelerated Spatio-Temporal Gaussian Rendering via Kinematic and Semantic Priors
May 25, 2026Denis Gridusov, Maxim Popov, Sergey Kolyubin3D Gaussian 3D Gaussian Splatting
Capability and Robustness Cannot Both Be Free: An Information-Theoretic Bound for Vision-Language-Action Models
May 25, 2026Jianwei TaiCross-Architecture Generalization Information-Theoretic Limits
SplitAvatar: One-shot Head Avatar with Autoregressive Gaussian Splitting
May 25, 2026Hongzhe Liao, Chuhua Xian, Hongmin Cai +2Animatable 3D Human Avatars Avatars
CodecSplat: Ultra-Compact Latent Coding for Feed-Forward 3D Gaussian Splatting
May 25, 2026Pengpeng Yu, Runqing Jiang, Qi Zhang +3Feed-Forward 3D Gaussian Splatting Feed-Forward 3D Gaussian
Learning View-Dependent Splatting Kernels
May 25, 2026Huakeng Ding, Zhanpeng Liu, Fan Pei +2Novel View Synthesis Gaussian Splatting
Physics-Aware 3D Gaussian Editing for Driving Scene Generation
May 25, 2026Feng Zhou, Jian Zhang, Yuhang Sun +5Driving Scene Feed-Forward 3D Gaussian Reconstruction
Multi-view Consistent 3D Gaussian Head Avatars 'without' Multi-view Generation
May 24, 2026Aviral Chharia, Fernando De la TorreAnimatable 3D Human Avatars Feed-Forward 3D Gaussian Reconstruction
Adversarial Water-Filling: Theory, Algorithms, and a Domain-Specific Wireless Foundation Model
May 24, 2026Xindi Tong, Chee Wei Tan, H. Vincent PoorWireless Resource Allocation Spectrum
A Geometric Gaussian Mixture Representation of Plane Curves
May 24, 2026Ali Darijani, Benedikt Stratmann, Jürgen BeyererCurves Polygons
ParkingWorld: End-to-End Autonomous Parking Reinforcement Learning from Corrective Experience in 3DGS Simulation
May 24, 2026Zhengcheng Yu, Changze Li, Haoran Liu +1Autonomous Driving Advanced Jet Trainer
ConFi-GS Confidence-Guided High-Frequency Injection for 3D Gaussian Splatting Super-Resolution
May 24, 2026Jiaxiang Li, Zongtan Zhou, Zhen Tan +23D Gaussian Super-Resolution Framework
Private Adaptive Covariance Estimation via Gaussian Graphical Models
May 22, 2026Cecilia Ferrando, Miguel Fuentes, Brett Mullins +2Covariance Estimation 3D Gaussian Splatting
COSY: Compositional 3DGS Synthesis for Disentangled Human Head Editing
May 22, 2026Florian Barthel, Shalini De Mello, Koki Nagano +33D Editing Animatable 3D Human Avatars
Learning a Particle Dynamics Model with Real-world Videos
May 22, 2026Chanho Kim, Suhas V. Sumukh, Li FuxinPhysical Dynamics Physics Simulation
RiGS: Rigid-aware 4D Gaussian Splatting from a Single Monocular Video
May 22, 2026Chenyu Wu, Wanhua Li, Zhu-Tian Chen +1Dynamic Scene Reconstruction Monocular Videos
GlowGS: Generative Semantic Feature Learning for 3D Gaussian Splatting in Nighttime Glow Scenes
May 22, 2026Beibei Lin, Xiao Cao, Jingyuan Guo +13D Gaussian Splats Novel View Synthesis
LangFlash: Feed-forward 3D Language Gaussian Splatting from Sparse Unposed Images
May 22, 2026Yilong Liu, Wanhua Li, Chen Zhu-Tian +13D Scene Understanding 3D Reconstruction
UfM*: Uncertainty from Motion* for DNN Depth Estimation Using Gaussians
May 21, 2026Soumya Sudhakar, Sertac Karaman, Vivienne SzeMonocular Depth Estimation Depth Estimation
Hidden-State Privacy Has an Empty Middle
May 21, 2026Alexander Okezue BellEfficient Privacy Loss Hidden States
4D-GSW: Kinematic-Aware Spatio-Temporal Consistent Watermarking for 4D Gaussian Splatting
May 21, 2026Sifan Zhou, Hang Zhang, Yuhang Wang +14D Reconstruction Watermarks
No Pose, No Problem in 4D: Feed-Forward Dynamic Gaussians from Unposed Multi-View Videos
May 21, 2026Matteo Balice, Yanik Kunzi, Chenyangguang Zhang +34D Reconstruction Feed-Forward 3D Gaussian
Flow-based Gaussian Splatting for Continuous-Scale Remote Sensing Image Super-Resolution
May 21, 2026Jiangwei Mo, Xi Lu, Hanlin WuGenerative Super-Resolution Large-Scale Image Generation
TWINGS: Thin Plate Splines Warp-aligned Initialization for Sparse-View Gaussian Splatting
May 21, 2026Hyeseong Kim, Geonhui Son, Deukhee Lee +1Gaussian Splatting B-Spline
ForeSplat: Optimization-Aware Foresight for Feed-Forward 3D Gaussian Splatting
May 21, 2026Yuke Li, Weihang Liu, Cheng Zhang +8Feed-Forward 3D Gaussian Splatting 3D Object Understanding
Learning to Evolve: Multi-modal Interactive Fields for Robust Humanoid Navigation in Dynamic Environments
May 21, 2026Peifeng Jiang, Hong Liu, Jin Jin +2Humanoid Locomotion Stability
Gaussian Sheaf Neural Networks
May 20, 2026André Ribeiro, Ana Luiza Tenório, Tiago da Silva +1Graph Neural Networks Graph Representation Learning
Polynomial-Time Robust Multiclass Linear Classification under Gaussian Marginals
May 20, 2026Ilias Diakonikolas, Giannis Iakovidis, Mingchen MaMulticlass Classification 3D Gaussian Splatting
RCGDet3D: Rethinking 4D Radar-Camera Fusion-based 3D Object Detection with Enhanced Radar Feature Encoding
May 20, 2026Weiyi Xiong, Bing ZhuVision-Radar Fusion Sparse4D-Radar
Conditioning Gaussian Processes on Almost Anything
May 20, 2026Henry Moss, Lachlan Astfalck, Thomas Cowperthwaite +5Gaussian Process 3D Gaussian Splatting
DAMA: Disentangled Body-Anchored Gaussians for Controllable Multi-Layered Avatars
May 20, 2026Daniel Eskandar, Berna Kabadayi, Garvita Tiwari +1Avatar Reconstruction Animatable 3D Human Avatars
CAdam: Context-Adaptive Moment Estimation for 3D Gaussian Densification in Generative Distillation
May 20, 2026SeungJeh Chung, Geonho Park, Misong Kim +13D Gaussian 3D Latent Diffusion Model
AIR: Amortized Image Reconstruction Framework for Self-Supervised Feed-Forward 2D Gaussian Splatting
May 20, 2026Zhaojie Zeng, Yuesong Wang, Yawei Luo +1Feed-Forward 3D Gaussian Splatting Gaussian Splatting
GaussianDream: A Feed-Forward 3D Gaussian World Model for Robotic Manipulation
May 20, 2026Zijian Zhang, Yuqing Jiang, Qian Cheng +6Feed-Forward 3D Gaussian Reconstruction Imitation Learning
Corrected Integrated Laplace Approximation for Bayesian Inference in Latent Gaussian Models
May 19, 2026Jinlin Lai, Charles C. Margossian, Daniel R. SheldonPosterior Sampling Bayesian
PiG-Avatar: Hierarchical Neural-Field-Guided Gaussian Avatars
May 19, 2026Julian Kaltheuner, Jan Spindler, Sina Kitz +2Animatable 3D Human Avatars Full Deformable Mesh State
TideGS: Scalable Training of Over One Billion 3D Gaussian Splatting Primitives via Out-of-Core Optimization
May 19, 2026Chonghao Zhong, Linfeng Shi, Hua Chen +43D Gaussian Splats Real3D-Ad Datasets
Beyond Isotropy in JEPAs: Hamiltonian Geometry and Symplectic Prediction
May 19, 2026Robert Jenkinson AlvarezSphere-Jepa Joint-Embedding Predictive Architectures
OP2GS: Object-Aware 3D Gaussian Splatting with Dual-Opacity Primitives
May 19, 2026Guiyu Liu, Niklas Vaara, Janne Mustaniemi +23D Gaussian 3D Object Understanding
Feed-Forward Gaussian Splatting from Sparse Aerial Views
May 19, 2026Dongli Wu, Zhuoxiao Li, Tongyan Hua +4Novel View Synthesis Feed-Forward 3D Gaussian
GLUT: 3D Gaussian Lookup Table for Continuous Color Transformation
May 19, 2026Danna Xue, David Serrano-Lozano, Shaolin Su +13D Gaussian Neural Rendering
Cross-View Splatter: Feed-Forward View Synthesis with Georeferenced Images
May 19, 2026Matias Turkulainen, Akshay Krishnan, Filippo Aleotti +6Novel View Synthesis Satellite Imagery
Closed-form predictive coding via hierarchical Gaussian filters
May 19, 2026Aleksandrs Baskakovs, Sylvain Estebe, Kenneth Enevoldsen +3Predictive Coding Variational Inference
Gaussian Approximation and Multiplier Bootstrap for Federated Linear Stochastic Approximation
May 19, 2026Ilya Levin, Maksim Shuklin, Eric Moulines +2Stochastic Approximation Multiplier Bootstrap
MMGS: 10 $\times$ Compressed 3DGS through Optimal Transport Aggregation based on Multi-view Ranking
May 19, 2026Beizhen Zhao, Sicheng Yu, Ziran Yin +23D Gaussian Multi-View
From Simple to Complex: Curriculum-Guided Physics-Informed Neural Networks via Gaussian Mixture Models
May 19, 2026Jianan Yang, Yiran Wang, Shuai Li +3Conventional Physics-Informed Neural Networks Partial Differential Equation Benchmarks
Markov Chain Decoders Overcome the Heavy-Tail Limitations of Lipschitz Generative Models
May 18, 2026Abdelhakim Ziani, Andras Horvath, Paolo BallariniLong-Tailed Distribution Generative Models
3D Skew Gaussian Splatting with Any Camera Trajectory Visualization Engine
May 18, 2026Beizhen Zhao, Yifan Zhou, Gaochao Song +23D Gaussian Rasterization

May 27, 2026 · cs.CRJ/K move · Enter open · S save

Mind the Gap: Mixtures of Gaussians in Approximate Differential Privacy

Huikang Liu, Aras Selvi, Wolfram Wiesemann

1Shanghai Jiao Tong University · 2UCL School of Management · 3Imperial Business School

We design a class of additive noise mechanisms that satisfy

(\varepsilon, δ)

-differential privacy (DP) for scalar, real-valued query functions with known sensitivities, with a particular focus on moderate and low-privacy regimes. These mechanisms, which we call \textit{mixture mechanisms}, are constructed by mixing multiple Gaussian distributions that share the same variance but differ in their means and mixture weights. The resulting distributions can be interpreted as convex combinations of a zero-mean Gaussian (as used in the analytic Gaussian mechanism) and additional Gaussians whose means depend on the sensitivity of the query function. We derive tight conditions on the variances required for

(\varepsilon, δ)

-DP and provide efficient algorithms to compute them. Compared to the analytic Gaussian mechanism, our mechanisms yield substantially lower expected noise amplitudes (

l_1

-loss) and variances (

l_2

-loss for zero-mean distributions). In the low-privacy regime that motivates our design, our mechanisms approach optimality, mitigating nearly all of the optimality gap of the analytic Gaussian mechanism.

Differential Privacy Gaussian Mixture Models Gaussian Noise 3D Gaussian Splatting Mixtures

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