3D Gaussian Splatting

Also known as 3DGS

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130 papers in the last four weeks, up 40% on the four weeks before. 0.9% of all new papers.

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Sparse-to-Complete: From Sparse Image Captures to Complete 3D Scenes
May 7, 2026Yiyang Shen, Yin Yang, Kun Zhou +13D Gaussian Splatting Diffusion Models for Image Restoration
State Key Lab of CAD&CG, Zhejiang University, China · University of Utah, USA · State Key Lab of CAD&CG, Zhejiang University, China and Hangzhou Research Institute of Holographic and AI Technology, China +1
Aes3D: Aesthetic Assessment in 3D Gaussian Splatting
May 6, 2026Chuanzhi Xu, Boyu Wei, Haoxian Zhou +53D Gaussian Splatting
The University of Sydney · The University of Hong Kong
QuadBox: Accelerating 3D Gaussian Splatting with Geometry-Aware Boxes
May 6, 2026Xinze Li, Bohan Yang, Pengxu Chen +43D Gaussian Splatting 3DGS Acceleration
Beijing Normal-Hong Kong Baptist University · Jilin University · Hong Kong Baptist University +2
ULF-Loc: Unbiased Landmark Feature for Robust Visual Localization with 3D Gaussian Splatting
May 6, 2026Yingdong Gu, Shaocheng Yan, Zhenjun Zhao +43D Gaussian Splatting Visual Place Recognition
Wuhan University · University of Zaragoza · The First Surveying and Mapping Institute of Hunan Province +1
Ilov3Splat: Instance-Level Open-Vocabulary 3D Scene Understanding in Gaussian Splatting
May 6, 2026Binh Long Nguyen, Kien Nguyen, Sridha Sridharan +23D Gaussian Splatting Language-Embedded 3DGS
School of Electrical Engineering and Robotics, Queensland University of Technology (QUT), Brisbane, QLD 4000, Australia · CSIRO Robotics, CSIRO, Brisbane, QLD 4069, Australia
Large-Scale High-Quality 3D Gaussian Head Reconstruction from Multi-View Captures
May 5, 2026Evangelos Ntavelis, Sean Wu, Mohamad Shahbazi +213D Gaussian Splatting Multi-View 3D Reconstruction
Apple
FreeTimeGS++: Secrets of Dynamic Gaussian Splatting and Their Principles
May 5, 2026Lucas Yunkyu Lee, Soonho Kim, Youngwook Kim +23D Gaussian Splatting 4D Reconstruction
Seoul National University · POSTECH
GETA-3DGS: Automatic Joint Structured Pruning and Quantization for 3D Gaussian Splatting
May 3, 2026Baobing Zhang, Wanxin Sui3DGS Compression Mixed-Precision Quantization
Robotics Research Group, School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield, AL10 9AB, United Kingdom · Department of Electronic and Electrical Engineering, Brunel University London, Kingston Lane, Uxbridge, Middlesex, UB8 3PH, United Kingdom
From Concept to Capability: Evaluating 3D Gaussian Splatting for Synthetic Scene Editing in Autonomous Driving
May 3, 2026Ali Nouri, Yifei Zhang, Yifan Zhang +53D Gaussian Splatting 3D Scene Editing
Volvo Cars, Gothenburg, Sweden · Zenseact AB, Gothenburg, Sweden · Lund University, Lund, Sweden +1
High-Fidelity Mobile Avatars with Pruned Local Blendshapes
May 3, 2026Youyi Zhan, He Wang, Tianjia Shao +1Model Compression 3D Gaussian Splatting
State Key Lab of CAD&CG, Zhejiang University · University College London
2D-SuGaR: Surface-Aware Gaussian Splatting for Geometrically Accurate Mesh Reconstruction
May 1, 2026Prajwal Gupta C. R., Divyam Sheth, Jinjoo Ha +23D Gaussian Splatting 3D Reconstruction
TU Darmstadt · ELIZA · Max Planck Institute for Intelligent Systems
GOR-IS: 3D Gaussian Object Removal in the Intrinsic Space
May 1, 2026Yonghao Zhao, Yupeng Gao, Jian Yang +23D Gaussian Splatting Intrinsic Image Decomposition
VCIP, College of Computer Science, Nankai University · School of Intelligence Science and Technology, Nanjing University
Beyond Heuristics: Learnable Density Control for 3D Gaussian Splatting
May 1, 2026Zhenhua Ning, Xin Li, Jun Yu +33D Gaussian Splatting 3D Reconstruction
Pengcheng Laboratory, Shenzhen · Harbin Institute of Technology, Shenzhen
VkSplat: High-Performance 3DGS Training in Vulkan Compute
Apr 30, 2026Jingxiang Chen, Mohamed Ibrahim, Yang Liu3D Gaussian Splatting 3DGS Acceleration
Huawei Canada
FieryGS: In-the-Wild Fire Synthesis with Physics-Integrated Gaussian Splatting
Apr 30, 2026Qianfan Shen, Ningxiao Tao, Qiyu Dai +63D Gaussian Splatting Physics-Based Simulation
School of EECS, Peking University · School of Intelligence Science and Technology, Peking University · 3Yuanpei College, Peking University +3
Generalizable Sparse-View 3D Reconstruction from Unconstrained Images
Apr 30, 2026Vinayak Gupta, Chih-Hao Lin, Shenlong Wang +23D Gaussian Splatting 3D Reconstruction
University of Maryland, College Park · University of Illinois Urbana-Champaign · Johns Hopkins University
Stop Holding Your Breath: CT-Informed Gaussian Splatting for Dynamic Bronchoscopy
Apr 30, 2026Andrea Dunn Beltran, Daniel Rho, Aarav Mehta +53D Gaussian Splatting Endoscopy
University of North Carolina at Chapel Hill · 2Harvard Medical School · University of California, San Diego
Faster 3D Gaussian Splatting Convergence via Structure-Aware Densification
Apr 30, 2026Linjie Lyu, Ayush Tewari, Jianchun Chen +23D Gaussian Splatting 3DGS Acceleration
Max-Planck-Institut für Informatik, Germany · Cambridge University, United Kingdom · Saarbrücken Research Center for Visual Computing, Interaction, and Artificial Intelligence (VIA), Germany
Fake3DGS: A Benchmark for 3D Manipulation Detection in Neural Rendering
Apr 30, 2026Davide Di Nucci, Riccardo Catalini, Guido Borghi +13D Gaussian Splatting Neural Rendering
University of Modena and Reggio Emilia, Via Pietro Vivarelli, 41121 Modena, Italy
Residual Gaussian Splatting for Ultra Sparse-View CBCT Reconstruction
Apr 30, 2026Jian Lin, Jiancheng Fang, Shaoyu Wang +43D Gaussian Splatting Cone-Beam CT
School of Information Engineering, Nanchang University, Nanchang 330031, China · Laboratory of Image Science and Technology, the School of Computer Science and Engineering, and the Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, Southeast University, Nanjing 210096, China
Softmax-GS: Generalized Gaussians Learning When to Blend or Bound
Apr 30, 2026Chen Ziwen, Peng Wang, Hao Tan +2Multi-View Consistency 3D Gaussian Splatting
Adobe Research · Tripo AI · Hillbot +1
Difix3D-W: Distractor-Free Few-Shot 3D Gaussian Splatting in the Wild
Apr 30, 2026Wongi Park, Jordan A. James, Myeongseok Nam +43D Gaussian Splatting Diffusion Model Guidance
1Ajou Univerity · University of Texas at Arlington · 3GenGenAI +2
Two-View Accumulation as the Primary Training Lever for Hybrid-Capture Gaussian Splatting: A Variance-Decomposition View of When Gradient Surgery Helps
Apr 29, 2026Sungjun Cho3D Gaussian Splatting Multi-View Learning
The Hong Kong University of Science and Technology
MesonGS++: Post-training Compression of 3D Gaussian Splatting with Hyperparameter Searching
Apr 29, 2026Shuzhao Xie, Junchen Ge, Weixiang Zhang +103DGS Compression 3D Gaussian Splatting
Shenzhen International Graduate School, Tsinghua University, Shenzhen, China · The Hong Kong University of Science and Technology, Hong Kong SAR, China · Harbin Institute of Technology, Shenzhen, China +6
EnerGS: Energy-Based Gaussian Splatting with Partial Geometric Priors
Apr 29, 2026Rui Song, Tianhui Cai, Markus Gross +53D Gaussian Splatting 3D Reconstruction
University of California, Los Angeles, California, USA · University of Cambridge, Cambridge, UK · Technical University of Munich, Munich, Germany
Generalizable Human Gaussian Splatting via Multi-view Semantic Consistency
Apr 28, 2026Jingi Kim, Wonjun KimMulti-View Consistency 3D Gaussian Splatting
Konkuk University
Light 'em Up: Enabling Few-Shot Low-Light 3D Gaussian Splatting with Multi-Scale Explicit Retinex Illumination Decoupling
Apr 27, 2026YuHao Yin, Zongji Wang, Yuanben Zhang +3Multi-View Consistency 3D Gaussian Splatting
Aerospace Information Research Institute, Chinese Academy of Sciences · Key Laboratory of Target Cognition and Application Technology (TCAT) · University of Chinese Academy of Sciences +2
Bringing a Personal Point of View: Evaluating Dynamic 3D Gaussian Splatting for Egocentric Scene Reconstruction
Apr 26, 2026Jan Warchocki, Xi Wang, Jonas Kulhanek +13D Gaussian Splatting Monocular 3D Reconstruction
Delft University of Technology · ETH Zurich · TUM/MCML +1
Spatiotemporal Degradation-Aware 3D Gaussian Splatting for Realistic Underwater Scene Reconstruction
Apr 26, 2026Shaohua Liu, Ning Gao, Zuoya Gu +33D Gaussian Splatting Underwater Imaging
School of Astronautics Beihang University Beijing, China · Shen Yuan Honors College, Beihang University · School of Artificial Intelligence Beihang University Beijing, China +3
NRGS: Neural Regularization for Robust 3D Semantic Gaussian Splatting
Apr 24, 2026Zaiyan Yang, Xinpeng Liu, Heng Guo +33D Gaussian Splatting 3D Semantic Segmentation
Beijing University of Posts and Telecommunications, China · The University of Osaka, Japan · Beijing Key Laboratory of Multimodal Data Intelligent Perception and Governance, China +1

May 7, 2026, cs.CVJ/K move · Enter open · S save

Sparse-to-Complete: From Sparse Image Captures to Complete 3D Scenes

Yiyang Shen, Yin Yang, Kun Zhou, Tianjia Shao

State Key Lab of CAD&CG, Zhejiang University, China · University of Utah, USA · State Key Lab of CAD&CG, Zhejiang University, China and Hangzhou Research Institute of Holographic and AI Technology, China+1

3D Gaussian Splatting Diffusion Models for Image Restoration Sparse-View 3D Reconstruction

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We introduce S2C-3D, a novel sparse-view 3D reconstruction framework for high-fidelity and complete scene reconstruction from as few as six to eight images. Our framework features three components: a specialized diffusion model for scene-specific image restoration, a training-free view-consistency conditioned sampling process in the diffusion model for refined Gaussian optimization, and a camera trajectory planning scheme to ensure comprehensive scene coverage. The specialized diffusion model is developed by finetuning a pretrained architecture on the input views and their corresponding degraded counterparts. The adaptation to the scene distribution allows the model to repair Gaussian renderings while effectively eliminating domain gaps. Meanwhile, the trajectory planning scheme optimizes scene coverage by connecting each newly sampled camera to its two nearest neighbors. By iteratively constructing paths and retaining only those that significantly enhance visibility, the scheme establishes a trajectory that covers the entire scene. To address multi-view conflicts, the view-consistency conditioned sampling process quantifies the consistency between neighboring repaired images. This information is injected as a condition into the sampling process of the frozen diffusion model, facilitating the generation of view-consistent images without additional training. Consequently, our approach produces high-fidelity 3D Gaussians that are robust to artifacts. Experimental results demonstrate that S2C-3D outperforms state-of-the-art methods, constructing high-quality scenes that are free from missing regions, blurring, or other artifacts with very sparse inputs. The source code and data are available at https://gapszju.github.io/S2C-3D.