3D Gaussian Splatting

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Period ending 2026-09-21

13 new papers

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Period ending 2026-09-14

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382 papers

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Private Adaptive Covariance Estimation via Gaussian Graphical Models
May 22, 2026Cecilia Ferrando, Miguel Fuentes, Brett Mullins +2Covariance Estimation 3D Gaussian Splatting
Learning a Particle Dynamics Model with Real-world Videos
May 22, 2026Chanho Kim, Suhas V. Sumukh, Li FuxinPhysical Dynamics Physics Simulation
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
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
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
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
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
Beyond Isotropy in JEPAs: Hamiltonian Geometry and Symplectic Prediction
May 19, 2026Robert Jenkinson AlvarezSphere-Jepa Joint-Embedding Predictive Architectures
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
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
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
RT-Splatting: Joint Reflection-Transmission Modeling with Gaussian Splatting
May 18, 2026Ji Shi, Xianghua Ying, Bowei Xing +2Gaussian Splatting 3D Gaussian Splatting
GEM: Gaussian Evolution Model for Occupancy Forecasting and Motion Planning
May 17, 2026Cheng Chen, Hao Huang, Saurabh Bagchi3D Semantic Occupancy Prediction Occupancy
On Gaussian approximation for entropy-regularized Q-learning with function approximation
May 17, 2026Artemy Rubtsov, Rahul Singh, Eric Moulines +2Q-Learning Central Limit Theorem
Topo-GS: Continuous Volumetric Embedding of High-Dimensional Data via Topological Gaussian Splatting
May 16, 2026João Paulo Gois, Luis Gustavo NonatoVolume Topological Data Analysis
Prediction Is Not Physics: Learning and Evaluating Conserved Quantities in Neural Simulators
May 16, 2026Andrew Bukowski, Aditya Kothari, Simba Shi +1Neural Ordinary Differential Equations Neural Control
Complexity of Non-Log-Concave Sampling in Fisher Information
May 15, 2026Sinho Chewi, Andre WibisonoNon-Log-Concave Optimal Sample Complexity
Learning Context-conditioned Gaussian Overbounds for Convolution-Based Uncertainty Propagation
May 15, 2026Ruirui Liu, Xuejie Hou, Yiping Jiang +1Reliable Uncertainty Quantification Conditional-Value-At-Risk
FLUIDSPLAT: Reconstructing Physical Fields from Sparse Sensors via Gaussian Primitives
May 15, 2026Huaxi Huang, Meng Li, Zhengqing Gao +3Optimal Sensor Placement 3D Gaussian Splatting
REC-RL: Referring expression counting via Gaussian and range-based reward optimization
May 15, 2026Hui Liu, Yunlai Teng, Kunlong Bai +4Visual Reasoning Counting
3D Skew-Normal Splatting
May 14, 2026Xiangru Wu, Ke Fan, Yanwei FuNovel View Synthesis 3D Priors
Denoising-GS: Gaussian Splatting with Spatial-aware Denoising
May 14, 2026Qingyuan Zhou, Xinyi Liu, Weidong Yang +5Novel View Synthesis 3D Gaussian Splatting
FedStain: Modeling Higher-Order Stain Statistics for Federated Domain Generalization in Computational Pathology
May 14, 2026Fengyi Zhang, Junya Zhang, Wenzhuo SunFederated Learning Computational Pathology
BlitzGS: City-Scale Gaussian Splatting at Lightning Speed
May 13, 2026Zhongtao Wang, Huishan Au, Yilong Li +63D Gaussian Splatting Workload
Sparse Code Uplifting for Efficient 3D Language Gaussian Splatting
May 13, 2026Lovre Antonio Budimir, Yushi Guan, Steve Ryhner +23D Gaussian Splats 3D Gaussian
Real2Sim: A Physics-driven and Editable Gaussian Splatting Framework for Autonomous Driving Scenes
May 13, 2026Kaicong Huang, Talha Azfar, Weisong Shi +1Autonomous Driving Simulation Driving Scene
Z-Order Transformer for Feed-Forward Gaussian Splatting
May 13, 2026Can Wang, Lei Liu, Wei Jiang +1Feed-Forward 3D Gaussian Splatting Feed-Forward 3D Gaussian
GuardMarkGS: Unified Ownership Tracing and Edit Deterrence for 3D Gaussian Splatting
May 13, 2026Utae Jeong, Jaewan Choi, Junseok Lee +43D Gaussian Splats 3D Editing
A proximal gradient algorithm for composite log-concave sampling
May 12, 2026Linghai Liu, Sinho ChewiNon-Log-Concave Proximal Gradient Descent
UAV-Assisted Scan-to-Simulation for Landslides Using Physics-Informed Gaussian Splatting
May 11, 2026Zhenyu Liang, Jack C. P. ChengLandslides 3D Gaussian Splats
Active Learning for Gaussian Process Regression Under Self-Induced Boltzmann Weights
May 11, 2026Jixiang Qing, Henry Moss, Matthias SachsGaussian Process Active Learning
CausalGS: Learning Physical Causality of 3D Dynamic Scenes with Gaussian Representations
May 11, 2026Nengbo Lu, Minghua PanFuture Video Prediction 3D Motion
VeloGauss: Learning Physically Consistent Gaussian Velocity Fields from Videos
May 11, 2026Nengbo Lu, Bin ZhaoVelocity Field 3D Gaussian Splatting
Learning Point Cloud Geometry as a Statistical Manifold: Theory and Practice
May 11, 2026Jinwoo Lee, Jiwoo Kim, Woojae Shin +2Certified Point-Cloud Feed-Forward Visual Geometry Estimation
DySurface: Consistent 4D Surface Reconstruction via Bridging Explicit Gaussians and Implicit Functions
May 11, 2026Minje Kim, Younghyun Noh, Jaesoon Kim +1High-Fidelity Surface Reconstruction Neural Radiance Fields
Characterizing the Generalization Error of Random Feature Regression with Arbitrary Data-Augmentation
May 11, 2026Lucas Morisset, Alain Durmus, Adrien HardySynthetic Data Augmentation Regularization Techniques
SDTalk: Structured Facial Priors and Dual-Branch Motion Fields for Generalizable Gaussian Talking Head Synthesis
May 11, 2026Peng Jia, Zhen Xiao, Jia Li +3Facial Animation Talk
BEA-GS: BEyond RAdiance Supervision in 3DGS for Precise Object Extraction
May 10, 2026Alessio Mazzucchelli, Maria Naranjo-Almeida, Jorge Bustos-Sanchez +43D Gaussian Splats 3D Semantic Segmentation
GSMap: 2D Gaussians for Online HD Mapping
May 10, 2026Zhenxuan Zeng, Lingxuan Wang, Sheng Yang +4Lane-Level Map Generation Map
LagrangianSplats: Divergence-Free Transport of Gaussian Primitives for Fluid Reconstruction
May 10, 2026Ningxiao Tao, Baoquan Chen, Mengyu ChuVelocity Field Lagrangian Methods
Smoothing Out the Edges: Continuous-Time Estimation with Gaussian Process Motion Priors on Factor Graphs
May 9, 2026Connor Holmes, Sven Lilge, Zi Cong Guo +2Factor Graphs State Estimation
Relightable Gaussian Splatting for Virtual Production Using Image-Based Illumination
May 9, 2026Adrian Azzarelli, Nantheera Anantrasirichai, James Pollock +1Inverse Rendering Illumination
A Note on Non-Negative $L_1$ -Approximating Polynomials
May 8, 2026Jane H. Lee, Anay Mehrotra, Manolis ZampetakisPolynomials Lipschitz Constant
Generative 3D Gaussians with Learned Density Control
May 8, 2026Runjie Yan, Yan-Pei Cao, Peng Wang +23D Gaussian Generative Models
Don't Get Your Kroneckers in a Twist: Gaussian Processes on High-Dimensional Incomplete Grids
May 8, 2026Mads Greisen Højlund, August Smart Lykke-Møller, Henry Moss +1Gaussian Process Computational Chemistry
Differentiable Ray Tracing with Gaussians for Unified Radio Propagation Simulation and View Synthesis
May 8, 2026Niklas Vaara, Lam Huynh, Pekka Sangi +2Geometry-Aware Ray Casting Radio Frequency
Tessellations of Semi-Discrete Flow Matching
May 8, 2026Emile Pierret, Johannes Hertrich, Samuel Hurault +1Conditional Flow Matching Optimal Transport
Disambiguating 2D-3D Correspondences in Gaussian Splatting-based Feature Fields for Visual Localization
May 8, 2026Miso Lee, Sangeek Hyun, Yerim Jeon +1Sequential Visual Localization 3D Gaussian Splatting
SplatWeaver: Learning to Allocate Gaussian Primitives for Generalizable Novel View Synthesis
May 8, 2026Yecong Wan, Fan Li, Mingwen Shao +1Novel View Synthesis 3D Gaussian Splatting
SatSurfGS: Generalizable 2D Gaussian Splatting for Sparse-View Satellite Surface Reconstruction
May 8, 2026Min Chen, Wei Guo, Bin Wang +9High-Fidelity Surface Reconstruction Gaussian Splatting
Uncertainty-Guided Edge Learning for Deep Image Regression in Remote Sensing
May 7, 2026Anh Vu Nguyen, Dino Sejdinovic, Tat-Jun ChinRemote Sensing Pixel-Level Prediction
Grokability in five inequalities
May 6, 2026Paata Ivanisvili, Xinyuan XieInequalities Convex Sets

May 22, 2026 · cs.LGJ/K move · Enter open · S save

Private Adaptive Covariance Estimation via Gaussian Graphical Models

Cecilia Ferrando, Miguel Fuentes, Brett Mullins, Cameron Musco+1

Manning College of Information and Computer Sciences University of Massachusetts Amherst

We propose PACE-GGM, a data-adaptive differentially private method for covariance estimation that concentrates its privacy budget on the most informative entries of the empirical covariance matrix, rather than perturbing all entries. This applies in the natural setting where the modeler supplies separate bounds for each variable, so that individual entries can be measured with less noise than the full matrix. In each round, our method selects a poorly approximated entry, measures it using the Gaussian mechanism, and then reconstructs a full covariance matrix using a maximum-entropy reconstruction objective, leading to a Gaussian graphical model structure. Experiments on diverse real-world datasets demonstrate consistent improvements in estimation error with respect to the Gaussian mechanism and other baselines, particularly in high-dimensional and low-to-moderate privacy regimes.

Covariance Estimation 3D Gaussian Splatting

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