3 |
4 | # Awesome 3D Scene Representation for Robotics [](https://github.com/sindresorhus/awesome)
5 |
6 |
7 |
8 |
9 | This repo contains a curative list of **3D Scene Representation papers relating to the Robotics domain**.
10 |
11 | #### Please feel free to send me [pull requests](https://github.com/dtc111111/awesome-representation-for-robotics) or [email](mailto:dengtianchen@sjtu.edu.cn) to add papers!
12 |
13 | If you find this repository useful, please consider [citing](#citation) and STARing this list. Feel free to share this list with others!
14 |
15 |
16 | ---
17 |
18 | ## Overview
19 | - [Survey](#3dgs-survey)
20 |
21 | - [General Model](#3dgs-general-model)
22 | - [Photorealistic](#photorealistic)
23 | - [Sparse View](#sparse-view)
24 | - [Accelerate & Compression](#accelerate--compression)
25 | - [Geometry & Physics](#Geometry--Physics)
26 |
27 | - [1.Perception](#perception)
28 | - [1.1 Point Cloud](#1.1-Point-Cloud)
29 | - [1.2 Voxel Grid](#1.2-Voxel-Grid)
30 | - [1.3 Signed Distance Field(SDF)](#1.3-Signed-Distance-Field(SDF))
31 | - [1.4 Mesh](#1.4-Mesh)
32 | - [1.5 Scene Graph](#1.5-Scene-Graph)
33 | - [1.6 Neural Radiance Fields(NeRF)](#1.6-Neural-Radiance-Fields(NeRF))
34 | - [1.7 3D Gaussian Splatting(3DGS)](#1.7-3D-Gaussian-Splatting(3DGS))
35 | - [1.8 Foundation Model](#1.8-Foundation-Model)
36 |
37 | - [2.Mapping](#mapping)
38 | - [2.1 Point Cloud](#2.1-Point-Cloud)
39 | - [2.2 Voxel Grid](#2.2-Voxel-Grid)
40 | - [2.3 Signed Distance Field(SDF)](#2.3-Signed-Distance-Field(SDF))
41 | - [2.4 Mesh](#2.4-Mesh)
42 | - [2.5 Scene Graph](#2.5-Scene-Graph)
43 | - [2.6 Neural Radiance Fields(NeRF)](#2.6-Neural-Radiance-Fields(NeRF))
44 | - [2.7 3D Gaussian Splatting(3DGS)](#2.7-3D-Gaussian-Splatting(3DGS))
45 | - [2.8 Foundation Model](#2.8-Foundation-Model)
46 |
47 | - [3.Localization](#localization)
48 | - [3.1 Point Cloud](#3.1-Point-Cloud)
49 | - [3.2 Voxel Grid](#3.2-Voxel-Grid)
50 | - [3.3 Signed Distance Field(SDF)](#3.3-Signed-Distance-Field(SDF))
51 | - [3.4 Mesh](#3.4-Mesh)
52 | - [3.5 Scene Graph](#3.5-Scene-Graph)
53 | - [3.6 Neural Radiance Fields(NeRF)](#3.6-Neural-Radiance-Fields(NeRF))
54 | - [3.7 3D Gaussian Splatting(3DGS)](#3.7-3D-Gaussian-Splatting(3DGS))
55 | - [3.8 Foundation Model](#3.8-Foundation-Model)
56 |
57 | - [4.Navigation](#navigation)
58 | - [4.1 Point Cloud](#4.1-Point-Cloud)
59 | - [4.2 Voxel Grid](#4.2-Voxel-Grid)
60 | - [4.3 Signed Distance Field(SDF)](#4.3-Signed-Distance-Field(SDF))
61 | - [4.4 Mesh](#4.4-Mesh)
62 | - [4.5 Scene Graph](#4.5-Scene-Graph)
63 | - [4.6 Neural Radiance Fields(NeRF)](#4.6-Neural-Radiance-Fields(NeRF))
64 | - [4.7 3D Gaussian Splatting(3DGS)](#4.7-3D-Gaussian-Splatting(3DGS))
65 | - [4.8 Foundation Model](#4.8-Foundation-Model)
66 |
67 | - [5.Manipulation](#manipulation)
68 | - [5.1 Point Cloud](#5.1-Point-Cloud)
69 | - [5.2 Voxel Grid](#5.2-Voxel-Grid)
70 | - [5.3 Signed Distance Field(SDF)](#5.3-Signed-Distance-Field(SDF))
71 | - [5.4 Mesh](#5.4-Mesh)
72 | - [5.5 Scene Graph](#5.5-Scene-Graph)
73 | - [5.6 Neural Radiance Fields(NeRF)](#5.6-Neural-Radiance-Fields(NeRF))
74 | - [5.7 3D Gaussian Splatting(3DGS)](#5.7-3D-Gaussian-Splatting(3DGS))
75 | - [5.8 Foundation Model](#5.8-Foundation-Model)
76 |
77 | - [6.Simulation](#simulation)
78 | - [6.1 Point Cloud](#6.1-Point-Cloud)
79 | - [6.2 Voxel Grid](#6.2-Voxel-Grid)
80 | - [6.3 Signed Distance Field(SDF)](#6.3-Signed-Distance-Field(SDF))
81 | - [6.4 Mesh](#6.4-Mesh)
82 | - [6.5 Scene Graph](#6.5-Scene-Graph)
83 | - [6.6 Neural Radiance Fields(NeRF)](#6.6-Neural-Radiance-Fields(NeRF))
84 | - [6.7 3D Gaussian Splatting(3DGS)](#6.7-3D-Gaussian-Splatting(3DGS))
85 | - [6.8 Foundation Model](#6.8-Foundation-Model)
86 |
87 | - [Citation](#citation)
88 |
89 | ---
90 | ## Survey
91 | #### [S1] A Survey on 3D Gaussian Splatting
92 | - **🧑🔬 Author**:Guikun Chen, Wenguan Wang
93 | - **🏫 Institute**:Zhejiang University
94 | - **🔗 Link**:[[arXiv:2401.03890](https://arxiv.org/abs/2401.03890)]
95 |
96 |
97 | #### [S2] 3D Gaussian as a New Vision Era: A Survey
98 | - **🧑🔬 Author**:Ben Fei, Jingyi Xu, Rui Zhang, Qingyuan Zhou, Weidong Yang, Ying He
99 | - **🏫 Institute**:Fudan University ⟐ Nanyang Technological University
100 | - **🔗 Link**:[[IEEE Transactions on Visualization and Computer Graphics 2024](https://arxiv.org/abs/2402.07181)]
101 |
102 |
103 | #### [S3] Recent Advances in 3D Gaussian Splatting
104 | - **🧑🔬 Author**:Tong Wu, Yu-Jie Yuan, Ling-Xiao Zhang, Jie Yang, Yan-Pei Cao, Ling-Qi Yan, Lin Gao
105 | - **🏫 Institute**:Chinese Academy of Sciences ⟐ VAST ⟐ University of California
106 | - **🔗 Link**:[[arXiv:2403.11134](https://arxiv.org/abs/2403.11134)]
107 |
108 |
109 | #### [S4] Gaussian Splatting: 3D Reconstruction and Novel View Synthesis, a Review
110 | - **🧑🔬 Author**:Anurag Dalal, Daniel Hagen, Kjell G. Robbersmyr, Kristian Muri Knausgård
111 | - **🏫 Institute**:University of Agder
112 | - **🔗 Link**:[[IEEE Access](https://arxiv.org/abs/2405.03417)]
113 |
114 |
115 | #### [S5] Survey on Fundamental Deep Learning 3D Reconstruction Techniques
116 | - **🧑🔬 Author**:Yonge Bai, LikHang Wong, TszYin Twan
117 | - **🏫 Institute**:McMaster University ⟐ City University of Hong Kong
118 | - **🔗 Link**:[[arXiv:2405.03417](https://arxiv.org/abs/2407.08137)]
119 |
120 |
121 | #### [S6] 3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities
122 | - **🧑🔬 Author**:Yanqi Bao, Tianyu Ding, Jing Huo, Yaoli Liu, Yuxin Li, Wenbin Li, Yang Gao, Jiebo Luo
123 | - **🏫 Institute**:Nanjing University ⟐ University of Rochester ⟐ Microsoft
124 | - **🔗 Link**:[[arXiv:2405.03417](https://arxiv.org/abs/2407.17418)]
125 |
126 |
127 |
128 |
129 | ## General Model
130 | ---
131 | * 3D Gaussian Splatting for Real-Time Radiance Field Rendering, **SIGGRAPH, 2023**. [[Paper](https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/3d_gaussian_splatting_low.pdf)] [[Website](https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/)]
132 | ### Photorealistic
133 | * Mip-splatting Alias-free 3d gaussian splatting, **CVPR, 2024**. [[Paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Yu_Mip-Splatting_Alias-free_3D_Gaussian_Splatting_CVPR_2024_paper.pdf)] [[Website](https://niujinshuchong.github.io/mip-splatting/)] [[Code](https://github.com/autonomousvision/mip-splatting)]
134 | * FreGS: 3D Gaussian Splatting with Progressive Frequency Regularization, **CVPR 2024**. [[Paper](https://arxiv.org/pdf/2403.06908.pdf)]
135 | * Gaussianshader: 3d gaussian splatting with shading functions for reflective surfaces, **CVPR 2024**. [[Paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Jiang_GaussianShader_3D_Gaussian_Splatting_with_Shading_Functions_for_Reflective_Surfaces_CVPR_2024_paper.pdf)]
136 | * End-to-End Rate-Distortion Optimized 3D Gaussian Representation, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2406.01597.pdf)] [[Website](https://arxiv.org/abs/2406.01597)] [[Code](https://github.com/USTC-IMCL/RDO-Gaussian)]
137 | * Analytic-Splatting: Anti-Aliased 3D Gaussian Splatting via Analytic Integration, **ECCV 2024**. [[Paper](https://arxiv.org/pdf/2403.11056.pdf)]
138 | * Deblurring 3D Gaussian Splatting, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2401.00834)] [[Code](https://github.com/benhenryL/Deblurring-3D-Gaussian-Splatting)]
139 | * BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2403.11831)] [[Code](https://github.com/WU-CVGL/BAD-Gaussians)]
140 | * MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition, **ECCV, 2024**. [[Paper](https://arxiv.org/abs/2407.07284)]
141 | * Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2311.17089.pdf)]
142 | * Implicit Gaussian Splatting with Efficient Multi-Level Tri-Plane Representation, *arXiv*. [[Paper](https://arxiv.org/pdf/2408.10041)]
143 | * GaussianPro: 3D Gaussian Splatting with Progressive Propagation, **ICML 2024**. [[Paper](https://arxiv.org/pdf/2402.14650.pdf)] [[Website](https://kcheng1021.github.io/gaussianpro.github.io/)] [[Code](https://github.com/kcheng1021/GaussianPro)]
144 | * Spectral-GS: Taming 3D Gaussian Splatting with Spectral Entropy, *arXiv*. [[Paper](https://arxiv.org/abs/2409.12771)]
145 | * RayGauss: Volumetric Gaussian-Based Ray Casting for Photorealistic Novel View Synthesis, *arXiv*. [[Paper](https://arxiv.org/abs/2408.03356)]
146 | * Spec-Gaussian: Anisotropic View-Dependent Appearance for 3D Gaussian Splatting, **NeurIPS 2024**. [[Paper](https://arxiv.org/pdf/2402.15870.pdf)]
147 | * Gaussian Splatting with Localized Points Management, *arXiv*. [[Paper](https://arxiv.org/abs/2406.04251)]
148 | * GStex: Per-Primitive Texturing of 2D Gaussian Splatting for Decoupled Appearance and Geometry Modeling, *arXiv*. [[Paper](https://arxiv.org/abs/2409.12954)]
149 | * 3iGS: Factorised Tensorial Illumination for 3D Gaussian Splatting, **ECCV, 2024**. [[Paper](https://arxiv.org/abs/2408.03753)]
150 | * SA-GS: Scale-Adaptive Gaussian Splatting for Training-Free Anti-Aliasing, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.19615)] [[Website](https://kevinsong729.github.io/project-pages/SA-GS/)] [[Code](https://github.com/zsy1987/SA-GS/)]
151 | * FreeGaussian: Guidance-free Controllable 3D Gaussian Splats with Flow Derivatives, *arXiv*. [[Paper](https://arxiv.org/abs/2410.22070)]
152 | * GS-Blur: A 3D Scene-Based Dataset for Realistic Image Deblurring, *arXiv*. [[Paper](https://arxiv.org/abs/2410.23658)]
153 | * GausSurf: Geometry-Guided 3D Gaussian Splatting for Surface Reconstruction, *arXiv*. [[Paper](https://arxiv.org/abs/2411.19454)]
154 | * SfM-Free 3D Gaussian Splatting via Hierarchical Training, *arXiv*. [[Paper](https://arxiv.org/abs/2412.01553)]
155 | * Reflective Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2412.19282)]
156 |
157 |
158 | ---
159 |
160 | ### Sparse View
161 | * Fast Dynamic 3D Object Generation from a Single-view Video, *arXiv*. [[Paper](https://arxiv.org/pdf/2401.08742.pdf)] [[Website](https://fudan-zvg.github.io/Efficient4D/)] [[Code](https://github.com/fudan-zvg/Efficient4D)]
162 | * GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting, **ACM Transactions on Graphics**. [[Paper](https://arxiv.org/pdf/2402.10259.pdf)] [[Website](https://gaussianobject.github.io/)] [[Code](https://github.com/GaussianObject/GaussianObject)]
163 | * LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation, **ECCV 2024**. [[Paper](https://arxiv.org/pdf/2402.05054.pdf)] [[Website](https://me.kiui.moe/lgm/)] [[Code](https://github.com/3DTopia/LGM)]
164 | * IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation, *arXiv*. [[Paper](https://arxiv.org/pdf/2402.08682.pdf)] [[Website](https://arxiv.org/abs/2402.08682)]
165 | * FDGaussian: Fast Gaussian Splatting from Single Image via Geometric-aware Diffusion Model, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.10242.pdf)] [[Website](https://qjfeng.net/FDGaussian)]
166 | * Depth-Regularized Optimization for 3D Gaussian Splatting in Few-Shot Images, **CVPRW, 2024**. [[Paper](https://arxiv.org/pdf/2311.13398.pdf)] [[Website](https://robot0321.github.io/DepthRegGS/index.html)] [[Code](https://github.com/robot0321/DepthRegularizedGS)]
167 | * DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2403.06912.pdf)] [[Website](https://fictionarry.github.io/DNGaussian/)] [[Code](https://github.com/Fictionarry/DNGaussian)]
168 | * MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2403.14627)] [[Website](https://donydchen.github.io/mvsplat/)] [[Code](https://github.com/donydchen/mvsplat)]
169 | * latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction, **ECCV 2024**. [[Paper](https://arxiv.org/pdf/2403.16292.pdf)] [[Website](https://geometric-rl.mpi-inf.mpg.de/latentsplat/)] [[Code](https://github.com/Chrixtar/latentsplat)]
170 | * GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.14621.pdf)] [[Website](https://justimyhxu.github.io/projects/grm/)] [[Code](https://github.com/justimyhxu/grm)]
171 | * Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.18795)]
172 | * CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2403.19495)] [[Website](https://people.engr.tamu.edu/nimak/Papers/CoherentGS/index.html)]
173 | * InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.20309.pdf)] [[Website](https://instantsplat.github.io/)]
174 | * Sp
2360: Sparse-view 360 Scene Reconstruction using Cascaded 2D Diffusion Priors, *arXiv*. [[Paper](https://arxiv.org/pdf/2405.16517)]
175 | * SparseGS: Real-Time 360° Sparse View Synthesis using Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2312.00206.pdf)] [[Website](https://formycat.github.io/SparseGS-Real-Time-360-Sparse-View-Synthesis-using-Gaussian-Splatting/)]
176 | * FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2312.00451.pdf)] [[Website](https://zehaozhu.github.io/FSGS/)] [[Code](https://github.com/VITA-Group/FSGS)]
177 | * pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2312.12337.pdf)] [[Website](https://davidcharatan.com/pixelsplat/)] [[Code](https://github.com/dcharatan/pixelsplat)]
178 | * Splatter Image: Ultra-Fast Single-View 3D Reconstruction, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2312.13150.pdf)] [[Website](https://szymanowiczs.github.io/splatter-image.html)] [[Code](https://github.com/szymanowiczs/splatter-image)]
179 | * EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting, **MICCAI, 2024**. [[Paper](https://arxiv.org/abs/2407.01029)] [[Code](https://github.com/CUHK-AIM-Group/EndoSparse)]
180 | * Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction, **MICCAI, 2024**. [[Paper](https://arxiv.org/abs/2407.01090)] [[Code](https://github.com/xmed-lab/DIF-Gaussian)]
181 | * CoR-GS: Sparse-View 3D Gaussian Splatting via Co-Regularization, **ECCV, 2024**. [[Paper](https://arxiv.org/abs/2405.12110)]
182 | * LoopSparseGS: Loop Based Sparse-View Friendly Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2408.00254)]
183 | * Self-augmented Gaussian Splatting with Structure-aware Masks for Sparse-view 3D Reconstruction, *arXiv*. [[Paper](https://arxiv.org/pdf/2408.04831)]
184 | * ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model, *arXiv*. [[Paper](https://arxiv.org/pdf/2408.16767)]
185 | * LM-Gaussian: Boost Sparse-view 3D Gaussian Splatting with Large Model Priors, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.03456)]
186 | * Optimizing 3D Gaussian Splatting for Sparse Viewpoint Scene Reconstruction, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.03213)]
187 | * Object Gaussian for Monocular 6D Pose Estimation from Sparse Views, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.02581)]
188 | * Single-View 3D Reconstruction via SO(2)-Equivariant Gaussian Sculpting Networks, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.07245)]
189 | * Vista3D: Unravel the 3D Darkside of a Single Image, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.12193)]
190 | * MVPGS: Excavating Multi-view Priors for Gaussian Splatting from Sparse Input Views, **ECCV 2024**. [[Paper](https://arxiv.org/pdf/2409.14316)]
191 | * Learn to Optimize Denoising Scores for 3D Generation: A Unified and Improved Diffusion Prior on NeRF and 3D Gaussian Splatting, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2312.04820)] [[Code](https://github.com/yangxiaofeng/LODS)]
192 | * Self-Evolving Depth-Supervised 3D Gaussian Splatting from Rendered Stereo Pairs, **BMVC 2024**. [[Paper](https://arxiv.org/abs/2409.07456)]
193 | * Frequency-based View Selection in Gaussian Splatting Reconstruction, *arXiv*. [[Paper](https://arxiv.org/abs/2409.16470)]
194 | * GSD: View-Guided Gaussian Splatting Diffusion for 3D Reconstruction, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2407.04237)]
195 | * 3DGS-Enhancer: Enhancing Unbounded 3D Gaussian Splatting with View-consistent 2D Diffusion Priors, **NeurIPS 2024**. [[Paper](https://arxiv.org/abs/2410.16266)]
196 | * Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis, **NeurIPS 2024**. [[Paper](https://arxiv.org/abs/2410.18822)]
197 | * No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images, *arXiv*. [[Paper](https://arxiv.org/abs/2410.24207)]
198 | * Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis, *arXiv*. [[Paper](https://arxiv.org/abs/2410.22817)]
199 | * MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views, *arXiv*. [[Paper](https://arxiv.org/pdf/2411.04924)]
200 | * Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis, *arXiv*. [[Paper](https://arxiv.org/abs/2411.03637)]
201 | * FewViewGS: Gaussian Splatting with Few View Matching and Multi-stage Training, *arXiv*. [[Paper](https://arxiv.org/abs/2411.02229)]
202 | * GPS-Gaussian+: Generalizable Pixel-wise 3D Gaussian Splatting for Real-Time Human-Scene Rendering from Sparse Views, *arXiv*. [[Paper](https://arxiv.org/abs/2411.11363)]
203 | * SmileSplat: Generalizable Gaussian Splats for Unconstrained Sparse Images, *arXiv*. [[Paper](https://arxiv.org/abs/2411.18072)]
204 | * NovelGS: Consistent Novel-view Denoising via Large Gaussian Reconstruction Model, *arXiv*. [[Paper](https://arxiv.org/abs/2411.16779)]
205 | * SelfSplat: Pose-Free and 3D Prior-Free Generalizable 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2411.17190)]
206 | * PreF3R: Pose-Free Feed-Forward 3D Gaussian Splatting from Variable-length Image SequencePreF3R: Pose-Free Feed-Forward 3D Gaussian Splatting from Variable-length Image Sequence, *arXiv*. [[Paper](https://arxiv.org/abs/2411.16877)]
207 | * ZeroGS: Training 3D Gaussian Splatting from Unposed Images, *arXiv*. [[Paper](https://arxiv.org/abs/2411.15779)]
208 | * Speedy-Splat: Fast 3D Gaussian Splatting with Sparse Pixels and Sparse Primitives, *arXiv*. [[Paper](https://arxiv.org/abs/2412.00578)]
209 | * Sparse Voxels Rasterization: Real-time High-fidelity Radiance Field Rendering, *arXiv*. [[Paper](https://arxiv.org/abs/2412.04459)]
210 | * Volumetrically Consistent 3D Gaussian Rasterization, *arXiv*. [[Paper](https://arxiv.org/abs/2412.03378)]
211 | * PanSplat: 4K Panorama Synthesis with Feed-Forward Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2412.12096)]
212 | * FreeSplatter: Pose-free Gaussian Splatting for Sparse-view 3D Reconstruction, *arXiv*. [[Paper](https://arxiv.org/abs/2412.09573)]
213 | * GBR: Generative Bundle Refinement for High-fidelity Gaussian Splatting and Meshing, *arXiv*. [[Paper](https://arxiv.org/abs/2412.05908)]
214 | * TSGaussian: Semantic and Depth-Guided Target-Specific Gaussian Splatting from Sparse Views, *arXiv*. [[Paper](https://arxiv.org/abs/2412.10051)]
215 | * Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images, *arXiv*. [[Paper](https://arxiv.org/abs/2412.19518)]
216 | * Gaussian Masked Autoencoders, *arXiv*. [[Paper](https://arxiv.org/abs/2501.03229)]
217 | * FatesGS: Fast and Accurate Sparse-View Surface Reconstruction using Gaussian Splatting with Depth-Feature Consistency, *arXiv*. [[Paper](https://arxiv.org/abs/2501.04628)]
218 | * FeatureGS: Eigenvalue-Feature Optimization in 3D Gaussian Splatting for Geometrically Accurate and Artifact-Reduced Reconstruction, *arXiv*. [[Paper](https://arxiv.org/abs/2501.17655)]
219 | * See In Detail: Enhancing Sparse - view 3D Gaussian Splatting with Local Depth and Semantic Regularization, *arXiv*. [[Paper](https://arxiv.org/abs/2501.11508)]
220 | * RDG - GS: Relative Depth Guidance with Gaussian Splatting for Real - time Sparse - View 3D Rendering, *arXiv*. [[Paper](https://arxiv.org/abs/2501.11102)]
221 | * PoI: Pixel of Interest for Novel View Synthesis Assisted Scene Coordinate Regression, *arXiv*. [[Paper](https://arxiv.org/abs/2502.04843)]
222 | * Splatter-360: Generalizable 360∘ Gaussian Splatting for Wide-baseline Panoramic Images, *arXiv*. [[Paper](https://arxiv.org/abs/2412.06250)]
223 |
224 |
225 |
226 |
227 | ### Accelerate & Compression
228 | * Hash3D: Training-free Acceleration for 3D Generation, *arXiv*. [[Paper](https://arxiv.org/pdf/2404.06091)] [[Website](https://adamdad.github.io/hash3D/)] [[Code](https://github.com/Adamdad/hash3D)]
229 | * Characterizing Satellite Geometry via Accelerated 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2401.02588.pdf)]
230 | * TRIPS: Trilinear Point Splatting for Real-Time Radiance Field Rendering, *arXiv*. [[Paper](https://arxiv.org/pdf/2401.06003.pdf)] [[Website](https://lfranke.github.io/trips/)] [[Code](https://github.com/lfranke/trips)]
231 | * GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.08551)]
232 | * TOGS: Gaussian Splatting with Temporal Opacity Offset for Real-Time 4D DSA Rendering, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.19586)]
233 | * Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering, *arXiv*. [[Paper](https://arxiv.org/pdf/2311.18561.pdf)] [[Website](https://fudan-zvg.github.io/PVG/)] [[Code](https://github.com/fudan-zvg/PVG)]
234 | * Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers, **CVPR 2024**. [[Paper](https://arxiv.org/pdf/2312.09147.pdf)] [[Website](https://zouzx.github.io/TriplaneGaussian/)] [[Code](https://github.com/VAST-AI-Research/TriplaneGaussian)]
235 | * DISTWAR: Fast Differentiable Rendering on Raster-based Rendering Pipelines, *arXiv*. [[Paper](https://arxiv.org/pdf/2401.05345.pdf)]
236 | * EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS, **ECCV 2024**. [[Paper](https://arxiv.org/pdf/2312.04564.pdf)] [[Website](https://efficientgaussian.github.io/)] [[Code](https://github.com/Sharath-girish/efficientgaussian)]
237 | * Optimal Projection for 3D Gaussian Splatting, *arXiv*. [[Paper](https://browse.arxiv.org/pdf/2402.00752.pdf)]
238 | * StopThePop: Sorted Gaussian Splatting for View-Consistent Real-time Rendering, *arXiv*. [[Paper](https://arxiv.org/pdf/2402.00525.pdf)] [[Website](https://r4dl.github.io/StopThePop/)] [[Code](https://github.com/r4dl/StopThePop)]
239 | * GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering, *CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2402.10128.pdf)] [[Website](https://abdullahamdi.com/ges/)] [[Code](https://github.com/ajhamdi/ges-splatting)]
240 | * Identifying Unnecessary 3D Gaussians using Clustering for Fast Rendering of 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2402.13827.pdf)]
241 | * RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real-Time Rendering with 900+ FPS, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.13806.pdf)] [[Website](https://m-niemeyer.github.io/radsplat/)]
242 | * Mini-Splatting: Representing Scenes with a Constrained Number of Gaussians, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.14166.pdf)]
243 | * Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.15530.pdf)]
244 | * Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.17898)] [[Website](https://city-super.github.io/octree-gs/)] [[Code](https://github.com/city-super/Octree-GS)]
245 | * OmniGS: Omnidirectional Gaussian Splatting for Fast Radiance Field Reconstruction using Omnidirectional Images, **WACV 2025**. [[Paper](https://arxiv.org/pdf/2404.03202)]
246 | * GSCore: Efficient Radiance Field Rendering via Architectural Support for 3D Gaussian Splatting, **ASPLOS 2024**. [[Paper](https://jaewoong.org/pubs/asplos24-gscore.pdf)]
247 | * Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2312.00109.pdf)] [[Website](https://city-super.github.io/scaffold-gs/)] [[Code](https://github.com/city-super/Scaffold-GS)]
248 | * Superpoint Gaussian Splatting for Real-Time High-Fidelity Dynamic Scene Reconstruction, **ICML, 2024**. [[Paper](https://arxiv.org/pdf/2406.03697)]
249 | * FastScene: Text-Driven Fast 3D Indoor Scene Generation via Panoramic Gaussian Splatting, **IJCAI, 2024**. [[Paper](https://arxiv.org/abs/2405.05768)]
250 | * Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis, **CVPR, 2024**. [[Paper](https://arxiv.org/abs/2401.02436)] [[Code](https://github.com/KeKsBoTer/c3dgs)]
251 | * Compact3D: Smaller and Faster Gaussian Splatting with Vector Quantization, **ECCV, 2024**. [[Paper](https://arxiv.org/abs/2311.18159)] [[Code](https://github.com/UCDvision/compact3d)]
252 | * HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression, **ECCV, 2024**. [[Paper](https://arxiv.org/abs/2403.14530)] [[Code](https://github.com/YihangChen-ee/HAC)]
253 | * Compact 3D Gaussian Representation for Radiance Field, **CVPR, 2024**. [[Paper](https://arxiv.org/abs/2311.13681)] [[Code](https://github.com/maincold2/Compact-3DGS)]
254 | * Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo, **ECCV, 2024**. [[Paper](https://arxiv.org/abs/2405.12218)] [[Code](https://github.com/TQTQliu/MVSGaussian)]
255 | * MVG-Splatting: Multi-View Guided Gaussian Splatting with Adaptive Quantile-Based Geometric Consistency Densification, *arXiv*. [[Paper](https://browse.arxiv.org/pdf/2407.11840.pdf)]
256 | * Splatfacto-W: A Nerfstudio Implementation of Gaussian Splatting for Unconstrained Photo Collections, *arXiv*. [[Paper](https://browse.arxiv.org/pdf/2407.12306.pdf)]
257 | * Compact 3D Gaussian Splatting for Static and Dynamic Radiance Fields, *arXiv*. [[Paper](https://arxiv.org/abs/2408.03822)]
258 | * FLoD: Integrating Flexible Level of Detail into 3D Gaussian Splatting for Customizable Rendering, *arXiv*. [[Paper](https://arxiv.org/abs/2408.12894)]
259 | * Robust 3D Gaussian Splatting for Novel View Synthesis in Presence of Distractors, *arXiv*. [[Paper](https://arxiv.org/abs/2408.11697)]
260 | * PRoGS: Progressive Rendering of Gaussian Splats, *arXiv*. [[Paper](https://arxiv.org/abs/2409.01761)]
261 | * Weight Conditioning for Smooth Optimization of Neural Networks, *arXiv*. [[Paper](https://arxiv.org/abs/2409.03424)]
262 | * 3DGS-LM: Faster Gaussian-Splatting Optimization with Levenberg-Marquardt, *arXiv*. [[Paper](https://arxiv.org/abs/2409.12892)]
263 | * MesonGS: Post-training Compression of 3D Gaussians via Efficient Attribute Transformation, **ECCV 2024**. [[Paper](https://arxiv.org/abs/2409.09756)]
264 | * VR-Splatting: Foveated Radiance Field Rendering via 3D Gaussian Splatting and Neural Points, *arXiv*. [[Paper](https://arxiv.org/abs/2410.17932)]
265 | * Sort-free Gaussian Splatting via Weighted Sum Rendering, *arXiv*. [[Paper](https://arxiv.org/abs/2410.18931)]
266 | * LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS, **NeurIPS 2024**. [[Paper](https://arxiv.org/abs/2311.17245)] [[Code](https://lightgaussian.github.io/)]
267 | * ELMGS: Enhancing memory and computation scaLability through coMpression for 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2410.23213)]
268 | * A Hierarchical Compression Technique for 3D Gaussian Splatting Compression, *arXiv*. [[Paper](https://arxiv.org/abs/2411.06976)]
269 | * DyGASR: Dynamic Generalized Exponential Splatting with Surface Alignment for Accelerated 3D Mesh Reconstruction, *arXiv*. [[Paper](https://arxiv.org/abs/2411.09156)]
270 | * Projecting Gaussian Ellipsoids While Avoiding Affine Projection Approximation, *arXiv*. [[Paper](https://arxiv.org/abs/2411.07579)]
271 | * Mini-Splatting2: Building 360 Scenes within Minutes via Aggressive Gaussian Densification, *arXiv*. [[Paper](https://arxiv.org/abs/2411.12788)]
272 | * SCIGS: 3D Gaussians Splatting from a Snapshot Compressive Image, *arXiv*. [[Paper](https://arxiv.org/abs/2411.12471)]
273 | * Beyond Gaussians: Fast and High-Fidelity 3D Splatting with Linear Kernels, *arXiv*. [[Paper](https://arxiv.org/abs/2411.12440)]
274 | * 3D Convex Splatting: Radiance Field Rendering with 3D Smooth Convexes3D Convex Splatting: Radiance Field Rendering with 3D Smooth Convexes, *arXiv*. [[Paper](https://arxiv.org/abs/2411.14974)]
275 | * Textured Gaussians for Enhanced 3D Scene Appearance Modeling, *arXiv*. [[Paper](https://arxiv.org/abs/2411.18625)]
276 | * HEMGS: A Hybrid Entropy Model for 3D Gaussian Splatting Data Compression, *arXiv*. [[Paper](https://arxiv.org/abs/2411.18473)]
277 | * Pushing Rendering Boundaries: Hard Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2412.04826)]
278 | * Faster and Better 3D Splatting via Group Training, *arXiv*. [[Paper](https://arxiv.org/abs/2412.07608)]
279 | * Temporally Compressed 3D Gaussian Splatting for Dynamic Scenes, *arXiv*. [[Paper](https://arxiv.org/abs/2412.05700)]
280 | * QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos, *arXiv*. [[Paper](https://arxiv.org/abs/2412.04469)]
281 | * SG-Splatting: Accelerating 3D Gaussian Splatting with Spherical Gaussians, *arXiv*. [[Paper](https://arxiv.org/abs/2501.00342)]
282 | * Locality-aware Gaussian Compression for Fast and High-quality Rendering, *arXiv*. [[Paper](https://arxiv.org/abs/2501.05757)]
283 | * Trick-GS: A Balanced Bag of Tricks for Efficient Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2501.14534)]
284 | * HAC++: Towards 100X Compression of 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2501.12255)]
285 | * GoDe: Gaussians on Demand for Progressive Level of Detail and Scalable Compressiong, *arXiv*. [[Paper](https://arxiv.org/abs/2501.13558)]
286 | * Exploring the Versal AI Engine for 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2502.11782)]
287 |
288 |
289 |
290 | ### Geometry & Physics
291 | * 2D Gaussian Splatting for Geometrically Accurate Radiance Fields, **SIGGRAPH, 2024**. [[Paper](https://arxiv.org/pdf/2403.17888)] [[Website](https://surfsplatting.github.io/)] [[Code](https://github.com/hbb1/2d-gaussian-splatting)]
292 | * Gaussian Splashing: Dynamic Fluid Synthesis with Gaussian Splatting, *arXiv*. [[Paper](https://browse.arxiv.org/pdf/2401.15318.pdf)] [[Website](https://amysteriouscat.github.io/GaussianSplashing/)]
293 | * GaMeS: Mesh-Based Adapting and Modification of Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2402.01459.pdf)] [[Code](https://github.com/waczjoan/gaussian-mesh-splatting)]
294 | * Mesh-based Gaussian Splatting for Real-time Large-scale Deformation, *arXiv*. [[Paper](https://arxiv.org/pdf/2402.04796.pdf)]
295 | * Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.09434)] [[Website](https://zlicheng.com/spring_gaus/)] [[Code](https://github.com/Colmar-zlicheng/Spring-Gaus)]
296 | * Texture-GS: Disentangling the Geometry and Texture for 3D Gaussian Splatting Editing, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.10050)] [[Website](https://slothfulxtx.github.io/TexGS/)] [[Code](https://github.com/slothfulxtx/Texture-GS)]
297 | * DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.17822)] [[Website](https://maturk.github.io/dn-splatter/)] [[Code](https://github.com/maturk/dn-splatter)]
298 | * Feature Splatting: Language-Driven Physics-Based Scene Synthesis and Editing, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2404.01223)] [[Website](https://feature-splatting.github.io/)] [[Code](https://github.com/vuer-ai/feature_splatting)]
299 | * Surface Reconstruction from Gaussian Splatting via Novel Stereo Views, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2404.01810)] [[Website](https://gs2mesh.github.io/)]
300 | * RaDe-GS: Rasterizing Depth in Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2406.01467)] [[Website](https://baowenz.github.io/radegs/)]
301 | * Trim 3D Gaussian Splatting for Accurate Geometry Representation, *arXiv*. [[Paper](https://arxiv.org/abs/2406.07499)] [[Website](https://trimgs.github.io/)] [[Code](https://github.com/YuxueYang1204/TrimGS)]
302 | * Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2406.11672)] [[Website](https://junhahyung.github.io/erankgs.github.io/)]
303 | * PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2311.12198.pdf)] [[Website](https://xpandora.github.io/PhysGaussian/)] [[Code](https://github.com/XPandora/PhysGaussian)]
304 | * SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2311.12775.pdf)] [[Website](https://imagine.enpc.fr/~guedona/sugar/)] [[Code](https://github.com/Anttwo/SuGaR)]
305 | * NeuSG: Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidance, *arXiv*. [[Paper](https://arxiv.org/pdf/2312.00846.pdf)]
306 | * Projecting Radiance Fields to Mesh Surfaces, **SIGGRAPH, 2024**. [[Paper](https://arxiv.org/abs/2406.11570)]
307 | * GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes, **NeurIPS 2024**. [[Paper](https://arxiv.org/abs/2411.01853)]
308 | * GeoGaussian: Geometry-aware Gaussian Splatting for Scene Rendering, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.11324.pdf)]
309 | * Enhancement of 3D Gaussian Splatting using Raw Mesh for Photorealistic Recreation of Architectures, *arXiv*. [[Paper](https://arxiv.org/pdf/2407.15435.pdf)]
310 | * Integrating Meshes and 3D Gaussians for Indoor Scene Reconstruction with SAM Mask Guidance, *arXiv*. [[Paper](https://arxiv.org/pdf/2407.16173.pdf)]
311 | * 2DGH: 2D Gaussian-Hermite Splatting for High-quality Rendering and Better Geometry Reconstruction, *arXiv*. [[Paper](https://arxiv.org/pdf/2408.16982.pdf)]
312 | * Depth Estimation Based on 3D Gaussian Splatting Siamese Defocus, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.12323.pdf)]
313 | * DepthSplat: Connecting Gaussian Splatting and Depth, *arXiv*. [[Paper](https://arxiv.org/abs/2410.13862)]
314 | * Quadratic Gaussian Splatting for Efficient and Detailed Surface Reconstruction, *arXiv*. [[Paper](https://arxiv.org/abs/2411.16392)]
315 | * Geometry Field Splatting with Gaussian Surfels, *arXiv*. [[Paper](https://arxiv.org/abs/2411.17067)]
316 | * G2SDF: Surface Reconstruction from Explicit Gaussians with Implicit SDFs, *arXiv*. [[Paper](https://arxiv.org/abs/2411.16898)]
317 | * GSurf: 3D Reconstruction via Signed Distance Fields with Direct Gaussian Supervision, *arXiv*. [[Paper](https://arxiv.org/abs/2411.15723)]
318 | * SplatSDF: Boosting Neural Implicit SDF via Gaussian Splatting Fusion, *arXiv*. [[Paper](https://arxiv.org/abs/2411.15468)]
319 | * Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction, *arXiv*. [[Paper](https://arxiv.org/abs/2412.06234)]
320 | * Pgsr: Planar-based gaussian splatting for efficient and high-fidelity surface reconstruction, **TVCG 2024**. [[Paper](https://ieeexplore.ieee.org/abstract/document/10747190/)]
321 | * Gasp: Gaussian splatting for physic-based simulations,*arXiv*. [[Paper](https://arxiv.org/abs/2409.05819)]
322 | * Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion,*arXiv*. [[Paper](https://arxiv.org/abs/2406.04338)]
323 | * CDGS: Confidence-Aware Depth Regularization for 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2502.14684)]
324 |
325 |
326 |
327 |
328 | ## 1.Perception
329 | ### 1.1 Point Cloud
330 | ### 1.2 Voxel Grid
331 | ### 1.3 Signed Distance Field(SDF)
332 | ### 1.4 Mesh
333 | ### 1.5 Scene Graph
334 | ### 1.6 Neural Radiance Fields(NeRF)
335 | ### 1.7 3D Gaussian Splatting(3DGS)
336 | * Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.15624)] [[Website
337 | ](https://semantic-gaussians.github.io/)]
338 | * Segment Any 3D Gaussians, *arXiv*. [[Paper](https://jumpat.github.io/SAGA/SAGA_paper.pdf)] [[Website](https://jumpat.github.io/SAGA/)] [[Code](https://github.com/Jumpat/SegAnyGAussians)]
339 | * 2D-Guided 3D Gaussian Segmentation, *arXiv*. [[Paper](https://arxiv.org/pdf/2312.16047.pdf)]
340 | * GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2405.17429)] [[Code](https://github.com/huang-yh/GaussianFormer)]
341 | * Click-Gaussian: Interactive Segmentation to Any 3D Gaussians, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2407.11793)]
342 | * Query-based Semantic Gaussian Field for Scene Representation in Reinforcement Learning, *arXiv*. [[Paper](https://arxiv.org/pdf/2406.02370)]
343 | * GOI: Find 3D Gaussians of Interest with an Optimizable Open-vocabulary Semantic-space Hyperplane, **MM**. [[Paper](https://arxiv.org/pdf/2405.17596)]
344 | * Gaussian Control with Hierarchical Semantic Graphs in 3D Human Recovery, *arXiv*. [[Paper](https://arxiv.org/pdf/2405.12477)]
345 | * SlingBAG: Sliding ball adaptive growth algorithm with differentiable radiation enables super-efficient iterative 3D photoacoustic image reconstruction, *arXiv*. [[Paper](https://arxiv.org/pdf/2407.11781)]
346 | * GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation, *arXiv*. [[Paper](https://arxiv.org/pdf/2407.14108)]
347 | * SpectralGaussians: Semantic, spectral 3D Gaussian splatting for multi-spectral scene representation, visualization and analysis, *arXiv*. [[Paper](https://arxiv.org/pdf/2408.06975)]
348 | * Contrastive Gaussian Clustering: Weakly Supervised 3D Scene Segmentation, *arXiv*. [[Paper](https://arxiv.org/abs/2404.12784)]
349 | * CoSSegGaussians: Compact and Swift Scene Segmenting 3D Gaussians, *arXiv*. [[Paper](https://arxiv.org/pdf/2401.05925.pdf)] [[Website](https://david-dou.github.io/CoSSegGaussians/)] [[Code](https://DavidDou.github.io/CoSSegGaussians)]
350 | * Segment Anything in 3D Gaussians, *arXiv*. [[Paper](https://browse.arxiv.org/pdf/2401.17857.pdf)]
351 | * Gaussian Grouping: Segment and Edit Anything in 3D Scenes, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2312.00732.pdf)] [[Code](https://github.com/lkeab/gaussian-grouping)]
352 | * GS-PT: Exploiting 3D Gaussian Splatting for Comprehensive Point Cloud Understanding via Self-supervised Learning, *arXiv*. [[Paper](https://arxiv.org/abs/2409.04963)]
353 | * FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally, *arXiv*. [[Paper](https://arxiv.org/abs/2409.08270)]
354 | * Semantics-Controlled Gaussian Splatting for Outdoor Scene Reconstruction and Rendering in Virtual Reality, *arXiv*. [[Paper](https://arxiv.org/abs/2409.15959)]
355 | * SRIF: Semantic Shape Registration Empowered by Diffusion-based Image Morphing and Flow Estimation, *arXiv*. [[Paper](https://arxiv.org/abs/2409.11682)]
356 | * Gradient-Driven 3D Segmentation and Affordance Transfer in Gaussian Splatting Using 2D Masks, **SIGGRAPH Asia**. [[Paper](https://arxiv.org/abs/2409.11681)]
357 | * OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding, **NIPS, 2024**. [[Paper](https://3d-aigc.github.io/OpenGaussian/)]
358 | * Modeling Uncertainty in 3D Gaussian Splatting through Continuous Semantic Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2411.02547)]
359 | * GaussianCut: Interactive segmentation via graph cut for 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2411.07555)]
360 | * Splat: FAST-Fast, Ambiguity-Free Semantics Transfer in Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2411.13753)]
361 | * GLS: Geometry-aware 3D Language Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2411.18066)]
362 | * Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation, *arXiv*. [[Paper](https://arxiv.org/abs/2412.05969)]
363 | * GradiSeg: Gradient-Guided Gaussian Segmentation with Enhanced 3D Boundary Precision, *arXiv*. [[Paper](https://arxiv.org/abs/2412.00392)]
364 | * Language Embedded 3D Gaussians for Open-Vocabulary Scene Understanding, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2311.18482.pdf)] [[Website](https://buaavrcg.github.io/LEGaussians/)] [[Code](https://github.com/buaavrcg/LEGaussians)]
365 | * Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2312.03203.pdf)] [[Website](https://feature-3dgs.github.io/)] [[Code](https://github.com/ShijieZhou-UCLA/feature-3dgs)]
366 | * LangSplat: 3D Language Gaussian Splatting, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2312.16084.pdf)] [[Website](https://langsplat.github.io/)] [[Code](https://github.com/minghanqin/LangSplat)]
367 | * FMGS: Foundation Model Embedded 3D Gaussian Splatting for Holistic 3D Scene Understanding,**IJCV**. [[Paper](https://arxiv.org/pdf/2401.01970.pdf)]
368 | * Touch-GS: Visual-Tactile Supervised 3D Gaussian Splatting, **IROS 2024**. [[Paper](https://arxiv.org/pdf/2403.09875.pdf)] [[Website](https://armlabstanford.github.io/touch-gs)]
369 | * EgoLifter: Open-world 3D Segmentation for Egocentric Perception, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.18118.pdf)] [[Website](https://egolifter.github.io/)]
370 | * Gaga: Group Any Gaussians via 3D-aware Memory Bank, *arXiv*. [[Paper](https://arxiv.org/pdf/2404.07977.pdf)] [[Website](https://www.gaga.gallery/)] [[Code](https://github.com/weijielyu/Gaga)]
371 | * EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian Splatting, **ICML, 2024**. [[Paper](https://arxiv.org/pdf/2405.14959.pdf)]
372 | * FastLGS: Speeding up Language Embedded Gaussians with Feature Grid Mapping, *arXiv*. [[Paper](https://arxiv.org/pdf/2406.01916.pdf)]
373 | * A General Framework to Boost 3D GS Initialization for Text-to-3D Generation by Lexical Richness, **MM**. [[Paper](https://arxiv.org/pdf/2408.01269.pdf)]
374 | * Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion, *arXiv*. [[Paper](https://arxiv.org/abs/2406.02972)]
375 | * Language-Embedded Gaussian Splats (LEGS): Incrementally Building Room-Scale Representations with a Mobile Robot, **IROS 2024**. [[Paper](https://arxiv.org/abs/2409.18108)]
376 | * EaDeblur-GS: Event assisted 3D Deblur Reconstruction with Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2407.13520.pdf)]
377 | * Dynamic 3D Gaussian Tracking for Graph-Based Neural Dynamics Modeling, *arXiv*. [[Paper](https://arxiv.org/pdf/2410.18912.pdf)]
378 | * Object and Contact Point Tracking in Demonstrations Using 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2411.03555)]
379 | * Unleashing the Potential of Multi-modal Foundation Models and Video Diffusion for 4D Dynamic Physical Scene Simulation, *arXiv*. [[Paper](https://arxiv.org/abs/2411.14423)]
380 | * Automated 3D Physical Simulation of Open-world Scene with Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2411.12789)]
381 | * Proc-GS: Procedural Building Generation for City Assembly with 3D Gaussians, *arXiv*. [[Paper](https://arxiv.org/abs/2412.07660)]
382 | * SLGaussian: Fast Language Gaussian Splatting in Sparse Views, *arXiv*. [[Paper](https://arxiv.org/abs/2412.08331)]
383 | * SuperGSeg: Open-Vocabulary 3D Segmentation with Structured Super-Gaussians, *arXiv*. [[Paper](https://arxiv.org/abs/2412.10231)]
384 | * DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2412.10972)]
385 | * LineGS : 3D Line Segment Representation on 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2412.00477)]
386 | * SparseLGS: Sparse View Language Embedded Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2412.02245)]
387 | * Occam's LGS: A Simple Approach for Language Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2412.01807)]
388 | * ChatSplat: 3D Conversational Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2412.00734)]
389 | * CLIP-GS: Unifying Vision - Language Representation with 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2412.19142)]
390 | * DarkGS: Learning Neural Illumination and 3D Gaussians Relighting for Robotic Exploration in the Dark, ICRA 2024 Workshop. [[Paper](https://arxiv.org/pdf/2403.10814)] [[Code](https://github.com/tyz1030/darkgs)]
391 | * RAIN-GS: Relaxing Accurate Initialization Constraint for 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.09413)] [[Website](https://ku-cvlab.github.io/RAIN-GS/)] [[Code](https://github.com/KU-CVLAB/RAIN-GS)]
392 | * Gaussian Shadow Casting for Neural Characters, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2401.06116.pdf)]
393 | * SWAG: Splatting in the Wild images with Appearance-conditioned Gaussians, ECCV 2024 workshop. [[Paper](https://arxiv.org/pdf/2403.10427.pdf)]
394 | * Gaussian in the Wild: 3D Gaussian Splatting for Unconstrained Image Collections, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.15704)] [[Website](https://eastbeanzhang.github.io/GS-W/)] [[Code](https://github.com/EastbeanZhang/Gaussian-Wild)]
395 | * Relightable 3D Gaussian: Real-time Point Cloud Relighting with BRDF Decomposition and Ray Tracing, ECCV 2024. [[Paper](https://arxiv.org/pdf/2311.16043.pdf)] [[Website](https://nju-3dv.github.io/projects/Relightable3DGaussian/)] [[Code](https://github.com/NJU-3DV/Relightable3DGaussian)]
396 | * GS-IR: 3D Gaussian Splatting for Inverse Rendering, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2311.16473.pdf)] [[Website](https://github.com/lzhnb/GS-IR)] [[Code](https://github.com/lzhnb/GS-IR)]
397 | * GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization, *arXiv*. [[Paper](https://arxiv.org/pdf/2312.05133)] [[Website](https://3dgir.github.io/)]
398 | * LumiGauss: High-Fidelity Outdoor Relighting with 2D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2408.04474)]
399 | * PRTGS: Precomputed Radiance Transfer of Gaussian Splats for Real-Time High-Quality Relighting, MM. [[Paper](https://arxiv.org/pdf/2408.03538)]
400 | * DeRainGS: Gaussian Splatting for Enhanced Scene Reconstruction in Rainy Environments, *arXiv*. [[Paper](https://arxiv.org/pdf/2408.11540)]
401 | * Gaussian in the Dark: Real-Time View Synthesis From Inconsistent Dark Images Using Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2408.09130)]
402 | * Phys3DGS: Physically-based 3D Gaussian Splatting for Inverse Rendering, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.10335)]
403 | * SeaSplat: Representing Underwater Scenes with 3D Gaussian Splatting and a Physically Grounded Image Formation Model, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.17345)]
404 | * Thermal3D-GS: Physics-induced 3D Gaussians for Thermal Infrared Novel-view Synthesis, ECCV 2024. [[Paper](https://arxiv.org/pdf/2409.08042)]
405 | * ThermalGaussian: Thermal 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.07200)]
406 | * E-3DGS: Gaussian Splatting with Exposure and Motion Events, *arXiv*. [[Paper](https://arxiv.org/pdf/2410.16995)]
407 | * GeoSplatting: Towards Geometry Guided Gaussian Splatting for Physically-based Inverse Rendering, *arXiv*. [[Paper](https://arxiv.org/abs/2410.24204)]
408 | * GUS-IR: Gaussian Splatting with Unified Shading for Inverse Rendering, *arXiv*. [[Paper](https://arxiv.org/abs/2411.07478)]
409 | * Deblur4DGS: 4D Gaussian Splatting from Blurry Monocular Video, *arXiv*. [[Paper](https://arxiv.org/abs/2412.06424)]
410 | * ULSR-GS: Ultra Large-scale Surface Reconstruction Gaussian Splatting with Multi-View Geometric Consistency, *arXiv*. [[Paper](https://arxiv.org/abs/2412.01402)]
411 | * FlameGS: Reconstruct flame light field via Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2412.19841)]
412 | * WeatherGS: 3D Scene Reconstruction in Adverse Weather Conditions via Gaussian Splatting, *arXiv*. [[Paper](https://www.arxiv.org/abs/2412.18862)]
413 | * Decoupling Appearance Variations with 3D Consistent Features in Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2501.10788)]
414 | * TranSplat: Surface Embedding-guided 3D Gaussian Splatting for Transparent Object Manipulation, *arXiv*. [[Paper](https://arxiv.org/abs/2502.07840)]
415 | * GlossGau: Efficient Inverse Rendering for Glossy Surface with Anisotropic Spherical Gaussian, *arXiv*. [[Paper](https://arxiv.org/abs/2502.14129)]
416 | * OMG: Opacity Matters in Material Modeling with Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2502.10988)]
417 | ### 1.8 Foundation Model
418 |
419 | ## 2.Mapping
420 | ### 2.1 Point Cloud
421 | ### 2.2 Voxel Grid
422 | ### 2.3 Signed Distance Field(SDF)
423 | ### 2.4 Mesh
424 | ### 2.5 Scene Graph
425 | ### 2.6 Neural Radiance Fields(NeRF)
426 | ### 2.7 3D Gaussian Splatting(3DGS)
427 | * Multimodal Virtual Point 3D Detection, **NeurIPS**, [[Paper](https://proceedings.neurips.cc/paper_files/paper/2021/file/895daa408f494ad58006c47a30f51c1f-Paper.pdf)] [[Website](https://tianweiy.github.io/mvp/)]
428 | * PIXOR: Real-time 3D Object Detection from Point Clouds, **CVPR,2018**, [[Paper](https://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_PIXOR_Real-Time_3D_CVPR_2018_paper.pdf)]
429 | * 3DSSD: Point-Based 3D Single Stage Object Detector, **IEEE**, [[Website](https://ieeexplore.ieee.org/document/9156597)]
430 | * Center-based 3D Object Detection and Tracking, **CVPR,2021**,[[Paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Yin_Center-Based_3D_Object_Detection_and_Tracking_CVPR_2021_paper.pdf)]
431 | * VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection, **CVPR,2018**, [[Paper](https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_VoxelNet_End-to-End_Learning_CVPR_2018_paper.pdf)]
432 | * PointPillars: Fast Encoders for Object Detection From Point Clouds, **IEEE**, [[Website](https://ieeexplore.ieee.org/document/8954311)]
433 | * NeRF-Det: Learning Geometry-Aware Volumetric Representation
434 | for Multi-View 3D Object Detection, **ICCV,2023**, [[Paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Xu_NeRF-Det_Learning_Geometry-Aware_Volumetric_Representation_for_Multi-View_3D_Object_Detection_ICCV_2023_paper.pdf)]
435 | * GO-N3RDet: Geometry Optimized NeRF-enhanced 3D Object Detector, **CVPR,2025**, [[Paper](https://openaccess.thecvf.com/content/CVPR2025/papers/Li_GO-N3RDet_Geometry_Optimized_NeRF-enhanced_3D_Object_Detector_CVPR_2025_paper.pdf)]
436 | * 6DGS: 6D Pose Estimation from a Single Image and a 3D Gaussian Splatting Model, **ECCV,2024**, [[Website](https://link.springer.com/chapter/10.1007/978-3-031-72943-0_24)]
437 | * YOLO-World: Real-Time Open-Vocabulary Object Detection, **CVPR,2024**, [[Paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Cheng_YOLO-World_Real-Time_Open-Vocabulary_Object_Detection_CVPR_2024_paper.pdf)]
438 | * YOLOE: Real-Time Seeing Anything, **ICCV,2025**, [[Paper](https://openaccess.thecvf.com/content/ICCV2025/supplemental/Wang_YOLOE_Real-Time_Seeing_ICCV_2025_supplemental.pdf)]
439 | * MATT-GS: Masked Attention-based 3DGS for Robot Perception and Object Detection, **arXiv**, [[Website](https://arxiv.org/abs/2503.19330)]
440 | * GS2Pose: Tow-stage 6D Object Pose Estimation Guided by Gaussian Splatting, **arXiv**, [[Website](https://arxiv.org/abs/2411.03807)]
441 | * Grounding DINO: Marrying DINO with Grounded
442 | Pre-Training for Open-Set Object Detection, **ECCV,2024**, [[Paper](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/06319.pdf)]
443 | * SGFormer: semantic graph transformer for point cloud-based 3D scene graph generation, **aaai,2024**, [[Website](https://dl.acm.org/doi/10.1609/aaai.v38i5.28197)]
444 | * SceneGraphFusion: Incremental 3D Scene Graph Prediction
445 | from RGB-D Sequences, **CVPR,2021**, [[Paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Wu_SceneGraphFusion_Incremental_3D_Scene_Graph_Prediction_From_RGB-D_Sequences_CVPR_2021_paper.pdf)]
446 | * 3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera, **IEEE**, [[Website](https://ieeexplore.ieee.org/document/9008302)]
447 | * Self-Supervised Learning of Scene-Graph
448 | Representations for Robotic Sequential
449 | Manipulation Planning, **Proc, 2021**, [[Website](https://proceedings.mlr.press/v155/nguyen21b/nguyen21b.pdf)]
450 | * PointContrast: Unsupervised Pre-training for
451 | 3D Point Cloud Understanding, **ECCV,2020**, [[Paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123480579.pdf)]
452 | * A Unified Query-based Paradigm for Point Cloud Understanding, **CVPR,2022**, [[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Yang_A_Unified_Query-Based_Paradigm_for_Point_Cloud_Understanding_CVPR_2022_paper.pdf)]
453 | * SNI-SLAM: Semantic Neural Implicit SLAM, **CVPR, 2024**, [[Paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Zhu_SNI-SLAM_Semantic_Neural_Implicit_SLAM_CVPR_2024_paper.pdf)]
454 | * Hydra: A Real-time Spatial Perception System for
455 | 3D Scene Graph Construction and Optimization, **Robotics, 2022**, [[Paper](https://www.roboticsproceedings.org/rss18/p050.pdf)]
456 | * VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation, **IEEE, 2021**, [[Website](https://ieeexplore.ieee.org/document/9710530)]
457 | * VoxFormer: Sparse Voxel Transformer for Camera-based
458 | 3D Semantic Scene Completion, **CVPR, 2023**, [[Paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Li_VoxFormer_Sparse_Voxel_Transformer_for_Camera-Based_3D_Semantic_Scene_Completion_CVPR_2023_paper.pdf)]
459 | * OctoMap:
460 | An Efficient Probabilistic 3D Mapping Framework Based on Octrees, **Autonomous Robots, 2013**, [[Paper](https://courses.cs.washington.edu/courses/cse571/16au/slides/hornung13auro.pdf)]
461 | * SurroundSDF: Implicit 3D Scene Understanding Based on Signed Distance Field, **IEEE, 2024**, [[Website](https://ieeexplore.ieee.org/document/10658156)]
462 | * CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields, **IEEE, 2022**, [[Website](https://ieeexplore.ieee.org/document/9879953)]
463 | * LERF: Language Embedded Radiance Fields, **ICCV, 2023**, [[Paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Kerr_LERF_Language_Embedded_Radiance_Fields_ICCV_2023_paper.pdf)]
464 | * GaussianBeV : 3D Gaussian Representation meets Perception Models for BeV
465 | Segmentation, **WACV, 2025**, [[Paper](https://openaccess.thecvf.com/content/WACV2025/papers/Chabot_GaussianBeV__3D_Gaussian_Representation_Meets_Perception_Models_for_BeV_WACV_2025_paper.pdf)]
466 | * CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory, **ROBOTICS, 2023**, [[Website](https://ai.meta.com/research/publications/clip-fields-weakly-supervised-semantic-fields-for-robotic-memory/)]
467 | * Scene-LLM: Extending Language Model for 3D Visual Reasoning, **IEEE, 2025**, [[Website](https://ieeexplore.ieee.org/abstract/document/10943341)]
468 | * Open-vocabulary Queryable Scene Representations for Real World Planning, *arxiv*, [[Paper](https://arxiv.org/pdf/2209.09874)]
469 | * VastGaussian: Vast 3D Gaussians for Large Scene Reconstruction, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2402.17427.pdf)] [[Website](https://vastgaussian.github.io/)] [[Code](https://github.com/kangpeilun/VastGaussian)]
470 | * 3DGSR: Implicit Surface Reconstruction with 3D Gaussian Splatting, **TOG 2024**. [[Paper](https://arxiv.org/pdf/2404.00409.pdf)] [[Code](https://github.com/CVMI-Lab/3DGSR)]
471 | * HGS-Mapping: Online Dense Mapping Using Hybrid Gaussian Representation in Urban Scenes, *arXiv, 2024*. [[Paper](https://arxiv.org/pdf/2403.20159.pdf)]
472 | * A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets, **SIGGRAPH, 2024**. [[Paper](https://repo-sam.inria.fr/fungraph/hierarchical-3d-gaussians/hierarchical-3d-gaussians_high.pdf)] [[Website](https://repo-sam.inria.fr/fungraph/hierarchical-3d-gaussians/)]
473 | * Fed3DGS: Scalable 3D Gaussian Splatting with Federated Learning, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.11460)] [[Code](https://github.com/DensoITLab/Fed3DGS)]
474 | * Creating Seamless 3D Maps Using Radiance Fields, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.11364.pdf)]
475 | * CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2403.20159.pdf)] [[Website](https://dekuliutesla.github.io/citygs/)]
476 | * MM-Gaussian: 3D Gaussian-based Multi-modal Fusion for Localization and Reconstruction in Unbounded Scenes, *arXiv*. [[Paper](https://arxiv.org/pdf/2404.04026)]
477 | * On Scaling Up 3D Gaussian Splatting Training, *arXiv*. [[Paper](https://arxiv.org/abs/2406.18533)] [[Website](https://daohanlu.github.io/scaling-up-3dgs/)] [[Code](https://github.com/nyu-systems/Grendel-GS)]
478 | * HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting, *arXiv, 2024*. [[Paper](https://arxiv.org/pdf/2403.12722.pdf)] [[Code](https://xdimlab.github.io/hugs_website/)]
479 | * SGD: Street View Synthesis with Gaussian Splatting and Diffusion Prior, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.20079.pdf)] [[Website](https://arxiv.org/abs/2403.20079)]
480 | * Ev-GS: Event-based Gaussian splatting for Efficient and Accurate Radiance Field Rendering, *arXiv*. [[Paper](https://arxiv.org/pdf/2407.11343.pdf)]
481 | * GSFusion: Online RGB-D Mapping Where Gaussian Splatting Meets TSDF Fusion, *arXiv*. [[Paper](https://arxiv.org/pdf/2408.12677.pdf)]
482 | * LoopSplat: Loop Closure by Registering 3D Gaussian Splats, *arXiv*. [[Paper](https://arxiv.org/pdf/2408.10154.pdf)]
483 | * FlashGS: Efficient 3D Gaussian Splatting for Large-scale and High-resolution Rendering, *arXiv*. [[Paper](https://arxiv.org/pdf/2408.07967.pdf)]
484 | * OmniRe: Omni Urban Scene Reconstruction, *arXiv*. [[Paper](https://arxiv.org/pdf/2408.16760.pdf)]
485 | * GigaGS: Scaling up Planar-Based 3D Gaussians for Large Scene Surface Reconstruction, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.06685.pdf)]
486 | * LI-GS: Gaussian Splatting with LiDAR Incorporated for Accurate Large-Scale Reconstruction, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.12899.pdf)]
487 | * GaRField++: Reinforced Gaussian Radiance Fields for Large-Scale 3D Scene Reconstruction, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.12774.pdf)]
488 | * EdgeGaussians -- 3D Edge Mapping via Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2409.12886)]
489 | * DrivingForward: Feed-forward 3D Gaussian Splatting for Driving Scene Reconstruction from Flexible Surround-view Input, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.12753)]
490 | * RenderWorld: World Model with Self-Supervised 3D Label, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.11356)]
491 | * Drone-assisted Road Gaussian Splatting with Cross-view Uncertainty, *arXiv*. [[Paper](https://arxiv.org/pdf/2408.15242)]
492 | * GGS: Generalizable Gaussian Splatting for Lane Switching in Autonomous Driving, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.02382)]
493 | * GlossyGS: Inverse Rendering of Glossy Objects with 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2410.13349)]
494 | * L3DG: Latent 3D Gaussian Diffusion, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2410.13530.pdf)]
495 | * PLGS: Robust Panoptic Lifting with 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2410.17505)]
496 | * Normal-GS: 3D Gaussian Splatting with Normal-Involved Rendering, *arXiv*. [[Paper](https://arxiv.org/abs/2410.20593)]
497 | * ActiveSplat: High-Fidelity Scene Reconstruction through Active Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2410.21955)]
498 | * ODGS: 3D Scene Reconstruction from Omnidirectional Images with 3D Gaussian Splattings, *arXiv*. [[Paper](https://arxiv.org/abs/2410.20686)]
499 | * Momentum-GS: Momentum Gaussian Self-Distillation for High-Quality Large Scene Reconstruction, *arXiv*. [[Paper](https://arxiv.org/abs/2412.04887)]
500 | * Radiant: Large-scale 3D Gaussian Rendering based on Hierarchical Framework, *arXiv*. [[Paper](https://arxiv.org/abs/2412.05546)]
501 | * KeyGS: A Keyframe-Centric Gaussian Splatting Method for Monocular Image Sequences, *arXiv*. [[Paper](https://arxiv.org/abs/2412.20767)]
502 | * MVS-GS: High - Quality 3D Gaussian Splatting Mapping via Online Multi - View Stereo, *arXiv*. [[Paper](https://arxiv.org/abs/2412.19130)]
503 | * SplatMAP: Online Dense Monocular SLAM with 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2501.07015)]
504 | * CrossView-GS: Cross-view Gaussian Splatting For Large - scale Scene Reconstruction, *arXiv*. [[Paper](https://arxiv.org/abs/2501.01695)]
505 | * PG-SAG: Parallel Gaussian Splatting for Fine-Grained Large-Scale Urban Buildings Reconstruction via Semantic - Aware Grouping, *arXiv*. [[Paper](https://arxiv.org/abs/2501.01677)]
506 | * Self-Calibrating Gaussian Splatting for Large Field of View Reconstruction, *arXiv*. [[Paper](https://arxiv.org/abs/2502.09563)]
507 | * High-Fidelity Novel View Synthesis via Splatting-Guided Diffusion, *arXiv*. [[Paper](https://arxiv.org/abs/2502.12752)]
508 | * DHGS: Decoupled Hybrid Gaussian Splatting for Driving Scene, *arXiv*. [[Paper](https://arxiv.org/abs/2407.16600)]
509 | * EMD: Explicit Motion Modeling for High-Quality Street Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2411.15582)]
510 | * 4Real: Towards Photorealistic 4D Scene Generation via Video Diffusion Models, *arXiv*. [[Paper](https://arxiv.org/pdf/2406.07472.pdf)] [[Website](https://snap-research.github.io/4Real/)]
511 | * SC4D: Sparse-Controlled Video-to-4D Generation and Motion Transfer, *arXiv*. [[Paper](https://arxiv.org/pdf/2404.03736)] [[Website](https://sc4d.github.io/)] [[Code](https://github.com/JarrentWu1031/SC4D)]
512 | * STAG4D: Spatial-Temporal Anchored Generative 4D Gaussians, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.14939)] [[Website](https://nju-3dv.github.io/projects/STAG4D/)] [[Code](https://github.com/zeng-yifei/STAG4D)]
513 | * TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Surrounding Autonomous Driving Scenes, *arXiv*. [[Paper](https://arxiv.org/pdf/2404.02410.pdf)] [[Website](https://arxiv.org/abs/2404.02410)]
514 | * EgoGaussian: Dynamic Scene Understanding from Egocentric Video with 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2406.19811)] [[Website](https://arxiv.org/abs/2406.19811)]
515 | * Dynamic Gaussian Marbles for Novel View Synthesis of Casual Monocular Videos, *arXiv*. [[Paper](https://arxiv.org/pdf/2406.18717)] [[Website](https://arxiv.org/abs/2406.18717)]
516 | * VGD: Vision-Only Dynamic Gaussian for Driving Simulation, *arXiv*. [[Paper](https://arxiv.org/pdf/2406.18198)] [[Website](https://arxiv.org/abs/2406.18198)]
517 | * Modeling Ambient Scene Dynamics for Free-view Synthesis, *arXiv*. [[Paper](https://arxiv.org/pdf/2406.09395)] [[Website](https://arxiv.org/abs/2406.09395)]
518 | * InfoGaussian: Structure-Aware Dynamic Gaussians through Lightweight Information Shaping, *arXiv*. [[Paper](https://arxiv.org/pdf/2406.05897)] [[Website](https://arxiv.org/abs/2406.05897)]
519 | * Dynamic 3D Gaussian Fields for Urban Areas, *arXiv*. [[Paper](https://arxiv.org/pdf/2406.03175)] [[Website](https://tobiasfshr.github.io/pub/4dgf/)] [[Code](https://github.com/tobiasfshr/map4d)]
520 | * Reconstructing and Simulating Dynamic 3D Objects with Mesh-adsorbed Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2406.01476)] [[Website](https://wcwac.github.io/MaGS-page/)] [[Code](https://github.com/wcwac/MaGS)]
521 | * DreamPhysics: Learning Physical Properties of Dynamic 3D Gaussians with Video Diffusion Priors, *arXiv*. [[Paper](https://arxiv.org/pdf/2406.09395)] [[Website](https://arxiv.org/abs/2406.01476)] [[Code](https://github.com/tyhuang0428/DreamPhysics)]
522 | * MoDGS: Dynamic Gaussian Splatting from Causually-captured Monocular Videos, *arXiv*. [[Paper](https://arxiv.org/pdf/2406.00434)] [[Website](https://arxiv.org/abs/2406.00434)]
523 | * Street Gaussians for Modeling Dynamic Urban Scenes, *arXiv*. [[Paper](https://arxiv.org/pdf/2401.01339.pdf)] [[Website](https://zju3dv.github.io/street_gaussians/)] [[Code](https://github.com/zju3dv/street_gaussians)]
524 | * DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2312.07920.pdf)] [[Website](https://pkuvdig.github.io/DrivingGaussian/)]
525 | * HUGS: Golistic Urban 3D Scene Understanding via Gaussian Splatting, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2403.12722.pdf)] [[Website](https://xdimlab.github.io/hugs_website/)]
526 | * Guess The Unseen: Dynamic 3D Scene Reconstruction from Partial 2D Glimpses, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2404.14410)] [[Website](https://snuvclab.github.io/gtu/)] [[Code](https://github.com/snuvclab/gtu/)]
527 | * 4D Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes, *arXiv*. [[Paper](https://arxiv.org/pdf/2402.03307)] [[Website](https://arxiv.org/abs/2402.03307)]
528 | * GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.12365)] [[Website](https://zerg-overmind.github.io/GaussianFlow.github.io/)] [[Code](https://github.com/Zerg-Overmind/GaussianFlow)]
529 | * Motion-aware 3D Gaussian Splatting for Efficient Dynamic Scene Reconstruction, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.11447)] [[Website](https://arxiv.org/abs/2403.11447)]
530 | * Bridging 3D Gaussian and Mesh for Freeview Video Rendering, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.11453)] [[Website](https://arxiv.org/abs/2403.11453)]
531 | * Per-Gaussian Embedding-Based Deformation for Deformable 3D Gaussian Splatting, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2404.03613)] [[Website](https://jeongminb.github.io/e-d3dgs/)] [[Code](https://github.com/JeongminB/E-D3DGS)]
532 | * 3D Geometry-aware Deformable Gaussian Splatting for Dynamic View Synthesis, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2404.06270)] [[Website](https://npucvr.github.io/GaGS/)]
533 | * Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis, **3DV, 2024**. [[Paper](https://dynamic3dgaussians.github.io/paper.pdf)] [[Website](https://dynamic3dgaussians.github.io/)] [[Code](https://github.com/JonathonLuiten/Dynamic3DGaussians)]
534 | * Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2309.13101.pdf)] [[Website](https://ingra14m.github.io/Deformable-Gaussians/)] [[Code](https://github.com/ingra14m/Deformable-3D-Gaussians)]
535 | * 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2310.08528.pdf)] [[Website](https://guanjunwu.github.io/4dgs/)] [[Code](https://github.com/hustvl/4DGaussians)]
536 | * Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2310.10642.pdf)] [[Website](https://github.com/fudan-zvg/4d-gaussian-splatting)]
537 | * A Compact Dynamic 3D Gaussian Representation for Real-Time Dynamic View Synthesis, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2311.12897.pdf)] [[Website](https://compactdynamic3dgaussian.github.io/)] [[Code](https://github.com/raven38/EfficientDynamic3DGaussian)]
538 | * DynMF: Neural Motion Factorization for Real-time Dynamic View Synthesis with 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2312.00112.pdf)] [[Website](https://agelosk.github.io/dynmf/)] [[Code](https://github.com/agelosk/dynmf)]
539 | * SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes, **CVPR, 2024**. [[Paper](https://yihua7.github.io/SC-GS-web/materials/SC_GS_Arxiv.pdf)] [[Website](https://yihua7.github.io/SC-GS-web/)] [[Code](https://github.com/yihua7/SC-GS)]
540 | * Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaussian Particle, *CVPR, 2024*. [[Paper](https://arxiv.org/pdf/2310.08528.pdf)] [[Website](https://nju-3dv.github.io/projects/Gaussian-Flow)]
541 | * GauFRe: Gaussian Deformation Fields for Real-time Dynamic Novel View Synthesis, *arXiv*. [[Paper](https://arxiv.org/pdf/2312.11458.pdf)] [[Website](https://lynl7130.github.io/gaufre/index.html)]
542 | * Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2312.16812.pdf)] [[Website](https://oppo-us-research.github.io/SpacetimeGaussians-website/)] [[Code](https://github.com/oppo-us-research/SpacetimeGaussians)]
543 | * SWinGS: Sliding Windows for Dynamic 3D Gaussian Splatting, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2312.13308.pdf)] [[Website](https://arxiv.org/abs/2312.13308)] [[Code](https://github.com/tyhuang0428/DreamPhysics)]
544 | * DreamGaussian4D: Generative 4D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2312.17142.pdf)] [[Website](https://jiawei-ren.github.io/projects/dreamgaussian4d/)] [[Code](https://github.com/jiawei-ren/dreamgaussian4d)]
545 | * 4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency, *arXiv*. [[Paper](https://arxiv.org/pdf/2312.17225.pdf)] [[Website](https://github.com/VITA-Group/4DGen)] [[Code](https://www.youtube.com/watch?v=-bXyBKdpQ1o)]
546 | * Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2312.01196.pdf)]
547 | * CoGS: Controllable Gaussian Splatting, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2312.05664.pdf)] [[Website](https://cogs2023.github.io/)]
548 | * MD-Splatting: Learning Metric Deformation from 4D Gaussians in Highly Deformable Scenes, *arXiv*. [[Paper](https://arxiv.org/pdf/2312.00583)] [[Website](https://md-splatting.github.io/)] [[Code](https://github.com/momentum-robotics-lab/md-splatting)]
549 | * 3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2403.01444.pdf)] [[Website](https://sjojok.github.io/3dgstream/)] [[Code](https://github.com/SJoJoK/3DGStream)]
550 | * Dynamic Gaussian Splatting from Markerless Motion Capture can Reconstruct Infants Movements, **WACV, 2024**. [[Paper](https://arxiv.org/pdf/2310.19441)]
551 | * GaussianPrediction: Dynamic 3D Gaussian Prediction for Motion Extrapolation and Free View Synthesis, **SIGGRAPH, 2024**. [[Paper](https://arxiv.org/pdf/2405.19745)] [[Website](https://arxiv.org/abs/2405.19745)] [[Code](https://github.com/BoMingZhao/GaussianPrediction)
552 | * VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting using Learned Priors, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2407.02945)] [[Code](https://github.com/deepshwang/vegs)]
553 | * Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction, **CVPR, 2024**. [[Paper](https://arxiv.org/abs/2312.01196)]
554 | * Gaussian Splatting LK, *arXiv*. [[Paper](https://arxiv.org/pdf/2407.11309)]
555 | * HDRSplat: Gaussian Splatting for High Dynamic Range 3D Scene Reconstruction from Raw Images, *arXiv*. [[Paper](https://arxiv.org/pdf/2407.16503)]
556 | * Reality Fusion: Robust Real-time Immersive Mobile Robot Teleoperation with Volumetric Visual Data Fusion, *arXiv*. [[Paper](https://arxiv.org/pdf/2408.01225)]
557 | * HDRGS: High Dynamic Range Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2408.06543)]
558 | * S4D: Streaming 4D Real-World Reconstruction with Gaussians and 3D Control Points, *arXiv*. [[Paper](https://arxiv.org/pdf/2408.13036)]
559 | * DynOMo: Online Point Tracking by Dynamic Online Monocular Gaussian Reconstruction, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.02104)]
560 | * DENSER: 3D Gaussians Splatting for Scene Reconstruction of Dynamic Urban Environments, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.10041)]
561 | * SplatFields: Neural Gaussian Splats for Sparse 3D and 4D Reconstruction, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.11211)]
562 | * DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering, *arXiv*. [[Paper](https://arxiv.org/pdf/2410.13607)]
563 | * MEGA: Memory-Efficient 4D Gaussian Splatting for Dynamic Scenes, *arXiv*. [[Paper](https://arxiv.org/pdf/2410.13613)]
564 | * DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation, *arXiv*. [[Paper](https://arxiv.org/pdf/2410.13571)]
565 | * SpectroMotion: Dynamic 3D Reconstruction of Specular Scenes, *arXiv*. [[Paper](https://arxiv.org/pdf/2410.17249)]
566 | * Fully Explicit Dynamic Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2410.15629)]
567 | * Grid4D: 4D Decomposed Hash Encoding for High-fidelity Dynamic Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2410.20815)]
568 | * 3DGS-CD: 3D Gaussian Splatting-based Change Detection for Physical Object Rearrangement, *arXiv*. [[Paper](https://arxiv.org/abs/2411.03706)]
569 | * HiCoM: Hierarchical Coherent Motion for Streamable Dynamic Scene with 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2411.07541)]
570 | * Adaptive and Temporally Consistent Gaussian Surfels for Multi-view Dynamic Reconstruction, *arXiv*. [[Paper](https://arxiv.org/abs/2411.06602)]
571 | * 4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization, *arXiv*. [[Paper](https://arxiv.org/abs/2411.08879)]
572 | * TimeFormer: Capturing Temporal Relationships of Deformable 3D Gaussians for Robust Reconstruction, *arXiv*. [[Paper](https://arxiv.org/abs/2411.11941)]
573 | * 4D Scaffold Gaussian Splatting for Memory Efficient Dynamic Scene Reconstruction, *arXiv*. [[Paper](https://arxiv.org/abs/2411.17044)]
574 | * Event-boosted Deformable 3D Gaussians for Fast Dynamic Scene Reconstruction, *arXiv*. [[Paper](https://arxiv.org/abs/2411.16180)]
575 | * SplatFlow: Self-Supervised Dynamic Gaussian Splatting in Neural Motion Flow Field for Autonomous Driving, *arXiv*. [[Paper](https://arxiv.org/abs/2411.15482)]
576 | * DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair, *arXiv*. [[Paper](https://arxiv.org/abs/2412.00851)]
577 | * Deformable Radial Kernel Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2412.11752)]
578 | * Template-free Articulated Gaussian Splatting for Real-time Reposable Dynamic View Synthesis, *arXiv*. [[Paper](https://arxiv.org/abs/2412.05570)]
579 | * 4D Gaussian Splatting with Scale-aware Residual Field and Adaptive Optimization for Real-time Rendering of Temporally Complex Dynamic Scenes, *arXiv*. [[Paper](https://arxiv.org/abs/2412.06299)]
580 | * SplineGS: Robust Motion-Adaptive Spline for Real-Time Dynamic 3D Gaussians from Monocular Video, *arXiv*. [[Paper](https://arxiv.org/abs/2412.09982)]
581 | * RelayGS: Reconstructing Dynamic Scenes with Large-Scale and Complex Motions via Relay Gaussians, *arXiv*. [[Paper](https://arxiv.org/abs/2412.02493)]
582 | * Monocular Dynamic Gaussian Splatting is Fast and Brittle but Smooth Motion Helps, *arXiv*. [[Paper](https://arxiv.org/abs/2412.04457)]
583 | * Urban4D: Semantic-Guided 4D Gaussian Splatting for Urban Scene Reconstruction, *arXiv*. [[Paper](https://arxiv.org/abs/2412.03473)]
584 | * KeyGS: A Keyframe-Centric Gaussian Splatting Method for Monocular Image Sequences, *arXiv*. [[Paper](https://arxiv.org/abs/2412.20767)]
585 | * 4D Gaussian Splatting: Modeling Dynamic Scenes with Native 4D Primitives, *arXiv*. [[Paper](https://arxiv.org/abs/2412.20720)]
586 | * DAS3R: Dynamics - Aware Gaussian Splatting for Static Scene Reconstruction, *arXiv*. [[Paper](https://arxiv.org/abs/2412.19518)]
587 | * GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping, *arXiv*. [[Paper](https://arxiv.org/abs/2501.08672)]
588 | * MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis, *arXiv*. [[Paper](https://arxiv.org/abs/2501.06660)]
589 | * DreamDrive: Generative 4D Scene Modeling from Street View Images, *arXiv*. [[Paper](https://arxiv.org/abs/2501.00601)]
590 | * GaussianVideo: Efficient Video Representation via Hierarchical Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2501.04782)]
591 | * GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking, *arXiv*. [[Paper](https://arxiv.org/abs/2501.02690)]
592 | * Micro-macro Wavelet-based Gaussian Splatting for 3D Reconstruction from Unconstrained Images, *arXiv*. [[Paper](https://arxiv.org/abs/2501.14231)]
593 | * OG-Gaussian: Occupancy Based Street Gaussians for Autonomous Driving, *arXiv*. [[Paper](https://arxiv.org/abs/2502.14235)]
594 | ### 2.8 Foundation Model
598 | ### 3.1 Point Cloud
599 | ### 3.2 Voxel Grid
600 | ### 3.3 Signed Distance Field(SDF)
601 | ### 3.4 Mesh
602 | ### 3.5 Scene Graph
603 | ### 3.6 Neural Radiance Fields(NeRF)
604 | ### 3.7 3D Gaussian Splatting(3DGS)
605 | * SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAM, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2402.03246.pdf)] [[Code](https://github.com/ShuhongLL/SGS-SLAM)]
606 | * Compact 3D Gaussian Splatting For Dense Visual SLAM, *arXiv, 2024*. [[Paper](https://arxiv.org/pdf/2403.11247.pdf)] [[Code](https://github.com/dtc111111/Compact_GSSLAM)]
607 | * NGM-SLAM: Gaussian Splatting SLAM with Radiance Field Submap, *arXiv, 2024*. [[Paper](https://arxiv.org/pdf/2405.05702)]
608 | * GGRt: Towards Generalizable 3D Gaussians without Pose Priors in Real-Time, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.10147)] [[Website](https://3d-aigc.github.io/GGRt/)]
609 | * MGS-SLAM: Monocular Sparse Tracking and Gaussian Mapping with Depth Smooth Regularization, *arXiv 2024*. [[Paper](https://arxiv.org/pdf/2405.06241)]
610 | * GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2311.11700.pdf)]
611 | * Photo-SLAM: Real-time Simultaneous Localization and Photorealistic Mapping for Monocular, Stereo, and RGB-D Cameras, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2311.16728.pdf)]
612 | * SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2312.02126.pdf)] [[Website](https://spla-tam.github.io/)] [[Code](https://github.com/spla-tam/SplaTAM)]
613 | * Gaussian Splatting SLAM, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2312.06741.pdf)] [[Code](https://github.com/muskie82/MonoGS)] [[Website](https://rmurai.co.uk/projects/GaussianSplattingSLAM/)]
614 | * Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting, *arXiv, 2023*. [[Paper](https://arxiv.org/pdf/2312.10070.pdf)] [[Code](https://github.com/VladimirYugay/Gaussian-SLAM)] [[Website](https://vladimiryugay.github.io/gaussian_slam/)]
615 | * SemGauss-SLAM: Dense Semantic Gaussian Splatting SLAM, *arXiv, 2024*. [[Paper](https://arxiv.org/pdf/2403.07494.pdf)]
616 | * NEDS-SLAM: A Novel Neural Explicit Dense Semantic SLAM Framework using 3D Gaussian Splatting, *arXiv, 2024*. [[Paper](https://arxiv.org/pdf/2403.11679.pdf)]
617 | * High-Fidelity SLAM Using Gaussian Splatting with Rendering-Guided Densification and Regularized Optimization, *arXiv, 2024*. [[Paper](https://arxiv.org/pdf/2403.12535.pdf)]
618 | * RGBD GS-ICP SLAM, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2403.12550.pdf)] [[Code](https://github.com/Lab-of-AI-and-Robotics/GS_ICP_SLAM)] [[Video](https://www.youtube.com/watch?v=e-bHh_uMMxE)]
619 | * EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting, *arXiv, 2024*. [[Paper](https://arxiv.org/pdf/2403.15124.pdf)] [[Website](https://endogslam.loping151.com/)] [[Code](https://github.com/Loping151/EndoGSLAM)]
620 | * CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian Field, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2403.16095.pdf)] [[Code](https://github.com/hjr37/CG-SLAM)] [[Website](https://zju3dv.github.io/cg-slam/)]
621 | * RTG-SLAM: Real-time 3D Reconstruction at Scale using Gaussian Splatting, **SIGGRAPH, 2024**. [[Paper](https://arxiv.org/pdf/2404.19706)] [[Code](https://github.com/MisEty/RTG-SLAM)]
622 | * MotionGS: Compact Gaussian Splatting SLAM by Motion Filter, *arXiv, 2024*. [[Paper](https://arxiv.org/pdf/2405.11129)] [[Code](https://github.com/Antonio521/MotionGS)]
623 | * Monocular Gaussian SLAM with Language Extended Loop Closure, *arXiv, 2024*. [[Paper](https://arxiv.org/pdf/2405.13748)]
624 | * Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians, *arXiv, 2024*. [[Paper](https://arxiv.org/pdf/2405.16544)] [[Code](https://github.com/eriksandstroem/Splat-SLAM)]
625 | * MG-SLAM: Structure Gaussian SLAM with Manhattan World Hypothesis, *arXiv, 2024*. [[Paper](https://arxiv.org/pdf/2405.20031)]
626 | * TAMBRIDGE: Bridging Frame-Centered Tracking and 3D Gaussian Splatting for Enhanced SLAM, *arXiv, 2024*. [[Paper](https://arxiv.org/pdf/2405.19614)] [[Code](https://github.com/ZeldaFromHeaven/TAMBRIDGE-DAVID)] [[Website](https://zeldafromheaven.github.io/TAMBRIDGE/)]
627 | * IG-SLAM: Instant Gaussian SLAM, *arXiv*. [[Paper](https://arxiv.org/pdf/2408.01126)]
628 | * Visual SLAM with 3D Gaussian Primitives and Depth Priors Enabling Novel View Synthesis, *arXiv*. [[Paper](https://arxiv.org/pdf/2408.05635)]
629 | * Towards Real-Time Gaussian Splatting: Accelerating 3DGS through Photometric SLAM, *arXiv*. [[Paper](https://arxiv.org/pdf/2408.05635)]
630 | * OG-Mapping: Octree-based Structured 3DGaussians for Online Dense Mapping, *arXiv*. [[Paper](https://arxiv.org/pdf/2408.17223)]
631 | * 3DGS-Calib: 3D Gaussian Splatting for Multimodal SpatioTemporal Calibration, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.11577)] [[Website](https://arxiv.org/abs/2403.11577)]
632 | * COLMAP-Free 3D Gaussian Splatting, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2312.07504.pdf)]
633 | * 6DGS: 6D Pose Estimation from a Single Image and a 3D Gaussian Splatting Model, **ECCV, 2024**. [[Paper](https://arxiv.org/abs/2407.15484)] [[Code](https://github.com/mbortolon97/6dgs)]
634 | * Hi-SLAM: Scaling-up Semantics in SLAM with a Hierarchically Categorical Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.12518)]
635 | * GLC-SLAM: Gaussian Splatting SLAM with Efficient Loop Closure, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.10982)]
636 | * AG-SLAM: Active Gaussian Splatting SLAM, *arXiv*. [[Paper](https://arxiv.org/pdf/2410.17422.pdf)]
637 | * DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization, *arXiv*. [[Paper](https://arxiv.org/abs/2411.08373)]
638 | * LiV-GS: LiDAR-Vision Integration for 3D Gaussian Splatting SLAM in Outdoor Environments, *arXiv*. [[Paper](https://arxiv.org/abs/2411.12185)]
639 | * DGS-SLAM: Gaussian Splatting SLAM in Dynamic Environment, *arXiv*. [[Paper](https://arxiv.org/abs/2411.10722)]
640 | * DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes, *arXiv*. [[Paper](https://arxiv.org/abs/2411.11921)]
641 | * GaussianPretrain: A Simple Unified 3D Gaussian Representation for Visual Pre-training in Autonomous Driving, *arXiv*. [[Paper](https://arxiv.org/abs/2411.12452)]
642 | * HI-SLAM2: Geometry-Aware Gaussian SLAM for Fast Monocular Scene Reconstruction, *arXiv*. [[Paper](https://arxiv.org/abs/2411.17982)]
643 | * DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting, *arXiv*. [[Code](https://github.com/ChenHoy/DROID-Splat)]
644 | * PG-SLAM: Photo-realistic and Geometry-aware RGB-D SLAM in Dynamic Environments, *arXiv*. [[Paper](https://arxiv.org/abs/2411.15800)]
645 | * Gassidy: Gaussian Splatting SLAM in Dynamic Environments, *arXiv*. [[Paper](https://arxiv.org/abs/2411.15476)]
646 | * SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving, *arXiv*. [[Paper](https://arxiv.org/abs/2411.16816)]
647 | * MAC-Ego3D: Multi-Agent Gaussian Consensus for Real-Time Collaborative Ego-Motion and Photorealistic 3D Reconstruction, *arXiv*. [[Paper](https://arxiv.org/abs/2412.09723)]
648 | * RP-SLAM: Real-time Photorealistic SLAM with Efficient 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2412.09868)]
649 | * RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2412.01217)]
650 | * FlashSLAM: Accelerated RGB-D SLAM for Real-Time 3D Scene Reconstruction with Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2412.00682)]
651 | * NeRF and Gaussian Splatting SLAM in the Wild, *arXiv*. [[Paper](https://arxiv.org/abs/2412.03263)]
652 | * GSplatLoc: Ultra - Precise Camera Localization via 3D Gaussian Splatting, *arXiv*. [[Paper](https://www.arxiv.org/abs/2412.20056)]
653 | * CityLoc: 6 DoF Localization of Text Descriptions in Large-Scale Scenes with Gaussian Representation, *arXiv*. [[Paper](https://arxiv.org/abs/2501.08982)]
654 | * VINGS-Mono: Visual-Inertial Gaussian Splatting Monocular SLAM in Large Scenes, *arXiv*. [[Paper](https://arxiv.org/abs/2501.08286)]
655 | * Scaffold-SLAM: Structured 3D Gaussians for Simultaneous Localization and Photorealistic Mapping, *arXiv*. [[Paper](https://arxiv.org/abs/2501.05242)]
656 | * PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAM, *arXiv*. [[Paper](https://arxiv.org/abs/2501.00352)]
657 | * GS-LiDAR: Generating Realistic LiDAR Point Clouds with Panoramic Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2501.13971)]
658 | * GeomGS: LiDAR-Guided Geometry-Aware Gaussian Splatting for Robot Localization, *arXiv*. [[Paper](https://arxiv.org/abs/2501.13417)]
659 | * VIGS SLAM: IMU-based Large-Scale 3D Gaussian Splatting SLAM, *arXiv*. [[Paper](https://arxiv.org/abs/2501.13402)]
660 | * Advancing Dense Endoscopic Reconstruction with Gaussian Splatting-driven Surface Normal-aware Tracking and Mapping, *arXiv*. [[Paper](https://arxiv.org/abs/2501.19319)]
661 | * DenseSplat: Densifying Gaussian Splatting SLAM with Neural Radiance Prior, *arXiv*. [[Paper](https://arxiv.org/abs/2502.09111)]
662 | * GARAD-SLAM: 3D GAussian splatting for Real-time Anti Dynamic SLAM, *arXiv*. [[Paper](https://arxiv.org/abs/2502.03228)]
663 | * PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map, *arXiv*. [[Paper](https://arxiv.org/abs/2502.05752)]
664 | * SIREN: Semantic, Initialization-Free Registration of Multi-Robot Gaussian Splatting Maps, *arXiv*. [[Paper](https://arxiv.org/abs/2502.06519)]
665 | * Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight ToF Sensor, **ICCV, 2023**. [[Paper](https://arxiv.org/pdf/2308.14383.pdf)] [[Website](https://zju3dv.github.io/tof_slam/)] [[Code](https://github.com/zju3dv/tof_slam)]
666 | * LIV-GaussMap: LiDAR-Inertial-Visual Fusion for Real-time 3D Radiance Field Map Rendering, **RAL, 2024**. [[Paper](https://arxiv.org/pdf/2401.14857.pdf)] [[Code](https://github.com/sheng00125/LIV-GaussMap)]
667 | * MM3DGS SLAM: Multi-modal 3D Gaussian Splatting for SLAM Using Vision, Depth, and Inertial Measurements, **IROS, 2024**. [[Paper](https://arxiv.org/pdf/2404.00923.pdf)] [[Website](https://vita-group.github.io/MM3DGS-SLAM/)]
668 | * MM-Gaussian: 3D Gaussian-based Multi-modal Fusion for Localization and Reconstruction in Unbounded Scenes, **IROS, 2024**. [[Paper](https://arxiv.org/pdf/2404.04026.pdf)]
669 | * Gaussian-LIC: Photo-realistic LiDAR-Inertial-Camera SLAM with 3D Gaussian Splatting, *arXiv, 2024*. [[Paper](https://arxiv.org/pdf/2404.06926.pdf)]
670 | * Go-SLAM: Grounded Object Segmentation and Localization with Gaussian Splatting SLAM, *arXiv, 2024*. [[Paper](https://arxiv.org/pdf/2409.16944.pdf)]
671 | * GS-EVT: Cross-Modal Event Camera Tracking based on Gaussian Splatting, *arXiv, 2024*. [[Paper](https://arxiv.org/pdf/2409.19228)]
672 | * MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane Sweeps, *arXiv, 2024*. [[Paper](https://arxiv.org/abs/2410.21566)]
673 | * Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation, *arXiv*. [[Paper](https://arxiv.org/abs/2502.00173)]
674 | * PUGS: Zero-shot Physical Understanding with Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2502.12231)]
675 | ### 3.8 Foundation Model
676 |
677 |
678 |
679 | ## 4.Navigation
680 | ### 4.1 Point Cloud
681 | ### 4.2 Voxel Grid
682 | ### 4.3 Signed Distance Field(SDF)
683 | ### 4.4 Mesh
684 | ### 4.5 Scene Graph
685 | ### 4.6 Neural Radiance Fields(NeRF)
686 | ### 4.7 3D Gaussian Splatting(3DGS)
687 | * Beyond Uncertainty: Risk-Aware Active View Acquisition for Safe Robot Navigation and 3D Scene Understanding with FisherRF, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.11396)] [[Website](https://arxiv.org/abs/2403.11396)]
688 | * HO-Gaussian: Hybrid Optimization of 3D Gaussian Splatting for Urban Scenes, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.20032.pdf)] [[Website](https://arxiv.org/abs/2403.20032)]
689 | * Splat-Nav: Safe Real-Time Robot Navigation in Gaussian Splatting Maps, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.02751.pdf)]
690 | * GaussNav: Gaussian Splatting for Visual Navigation, **TPAMI 2025**. [[Paper](https://arxiv.org/pdf/2403.11625.pdf)] [[Code](https://github.com/XiaohanLei/GaussNav)] [[Website](https://xiaohanlei.github.io/projects/GaussNav/)]
691 | * GS-Planner: A Gaussian-Splatting-based Planning Framework for Active High-Fidelity Reconstruction, **IROS, 2024**. [[Paper](https://arxiv.org/pdf/2405.10142)] [[Video](https://www.bilibili.com/video/BV1e1421S7Kh/)]
692 | * Active Implicit Reconstruction Using One-Shot View Planning, **ICRA, 2024**. [[Paper](https://arxiv.org/pdf/2310.00685)]
693 | * BEINGS: Bayesian Embodied Image-goal Navigation with Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2409.10216)]
694 | * SAFER-Splat: A Control Barrier Function for Safe Navigation with Online Gaussian Splatting Maps, *arXiv*. [[Paper](https://arxiv.org/abs/2409.09868)]
695 | * RT-GuIDE: Real-Time Gaussian splatting for Information-Driven Exploration, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.18122)]
696 | * RoboGSim: A Real2Sim2Real Robotic Gaussian Splatting Simulator, *arXiv*. [[Paper](https://arxiv.org/abs/2411.11839)]
697 | * iComMa: Inverting 3D Gaussian Splatting for Camera Pose Estimation via Comparing and Matching, *arXiv*. [[Paper](https://arxiv.org/abs/2312.09031)]
698 | * 3DGS-ReLoc: 3D Gaussian Splatting for Map Representation and Visual ReLocalization, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.11367)] [[Website](https://arxiv.org/abs/2403.11367)]
699 | * Video2BEV: Transforming Drone Videos to BEVs for Video-based Geo-localization, *arXiv*. [[Paper](https://arxiv.org/abs/2411.13610)]
700 | * GS-GVINS: A Tightly-integrated GNSS-Visual-Inertial Navigation System Augmented by 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2502.10975)]
701 | * VR-Robo: A Real-to-Sim-to-Real Framework for Visual Robot Navigation and Locomotion, *arXiv*. [[Paper](https://arxiv.org/abs/2502.01536)]
702 | * 3D Gaussian Splatting aided Localization for Large and Complex Indoor-Environments, *arXiv*. [[Paper](https://arxiv.org/abs/2502.13803)]
703 | * GaussReg: Fast 3D Registration with Gaussian Splatting, **ECCV, 2024**. [[Paper](https://arxiv.org/abs/2407.05254)]
704 | * Gsloc: Efficient camera pose refinement via 3d gaussian splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2407.05254)]
705 | * GS-CPR: Efficient Camera Pose Refinement via 3D Gaussian Splatting, **ICLR, 2025**. [[Paper](https://openreview.net/forum?id=mP7uV59iJM)] [[code]](https://github.com/XRIM-Lab/GS-CPR)
706 | * ActiveGAMER: Active GAussian Mapping through Efficient Rendering, **CVPR, 2025**. [[Paper](https://arxiv.org/abs/2501.06897)]
707 | * GSplatLoc: Grounding Keypoint Descriptors into 3D Gaussian Splatting for Improved Visual Localization, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.16502)]
708 | * SplatLoc: 3D Gaussian Splatting-based Visual Localization for Augmented Reality, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.14067)]
709 | * GS-Pose: Cascaded Framework for Generalizable Segmentation-based 6D Object Pose Estimation, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.10683)] [[Website](https://dingdingcai.github.io/gs-pose/)][[Code](https://github.com/dingdingcai/GSPose)]
710 | * HGSLoc: 3DGS-based Heuristic Camera Pose Refinement, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.10925.pdf)]
711 | * GS2Pose: Tow-stage 6D Object Pose Estimation Guided by Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2411.03807)]
712 | ### 4.8 Foundation Model
713 |
714 | ## 5.Manipulation
715 | ### 5.1 Point Cloud
716 | ### 5.2 Voxel Grid
717 | ### 5.3 Signed Distance Field(SDF)
718 | ### 5.4 Mesh
719 | ### 5.5 Scene Graph
720 | ### 5.6 Neural Radiance Fields(NeRF)
721 | ### 5.7 3D Gaussian Splatting(3DGS)
722 | * Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes, **IEEE, 2021**, [[Website](https://ieeexplore.ieee.org/document/9561877)]
723 | * Sequential Manipulation Planning on Scene Graph, **IEEE, 2022**, [[Website](https://ieeexplore.ieee.org/document/9981735)]
724 | * Fast Task Planning with Neuro-Symbolic Relaxation, **arXiv**, [[Website](https://arxiv.org/abs/2507.15975)]
725 | * Radiance Fields for Robotic Teleoperation, **IEEE, 2024**, [[Website](https://ieeexplore.ieee.org/abstract/document/10801345)]
726 | * Point'n Move: Interactive scene object manipulation on Gaussian splatting radiance fields, **IET, 2024**, [[Website](https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/ipr2.13190?af=R)]
727 | * HGS-Planner: Hierarchical Planning Framework for Active Scene Reconstruction Using 3D Gaussian Splatting, **ICRA, 2025**, [[Code](https://zijunfdu.github.io/HGS-Planner/)]
728 | * Object-Aware Gaussian Splatting for Robotic Manipulation, **ICRA, 2024**, [[Website](https://openreview.net/forum?id=gdRI43hDgo)]
729 | * MANUS: Markerless Grasp Capture using Articulated 3D Gaussians, **CVPR, 2024**, [[Paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Pokhariya_MANUS_Markerless_Grasp_Capture_using_Articulated_3D_Gaussians_CVPR_2024_paper.pdf)]
730 | * Physically Embodied Gaussian Splatting: A Realtime Correctable World Model for Robotics, **Proc**, [[Website](https://arxiv.org/abs/2406.10788)]
731 | * Reinforcement Learning with Generalizable Gaussian Splatting, **IROS, 2024**, [[Website](https://arxiv.org/abs/2404.07950)]
732 | * GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields, **CORL, 2023**, [[Website](https://openreview.net/forum?id=b1tl3aOt2R2)]
733 | * DreamHOI: Subject-Driven Generation of 3D Human-Object Interactions with
734 | Diffusion Priors, **ICCV, 2025**, [[Paper](https://openaccess.thecvf.com/content/ICCV2025W/HiGen/papers/Zhu_DreamHOI_Subject-Driven_Generation_of_3D_Human-Object_Interactions_with_Diffusion_Priors_ICCVW_2025_paper.pdf)]
735 | * EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation, **arXiv**, [[Website](https://arxiv.org/abs/2501.01895)]
736 | * Open-vocabulary Queryable Scene Representations for Real World Planning, **ICRA, 2023**, [[Website](https://www.academia.edu/114475447/Open_vocabulary_Queryable_Scene_Representations_for_Real_World_Planning)]
737 | * Do As I Can, Not As I Say: Grounding Language in Robotic Affordances, **Proc**, [[Website](https://proceedings.mlr.press/v205/ichter23a.html)]
738 | * Code as Policies: Language Model Programs for Embodied Control, **IEEE, 2023**, [[Website](https://ieeexplore.ieee.org/document/10160591)]
739 | * PointNetGPD: Detecting Grasp Configurations from Point Sets, **IEEE, 2019**, [[Website](https://ieeexplore.ieee.org/document/8794435)]
740 | * Shape Completion Enabled Robotic Grasping, **IROS, 2017**, [[Paper](https://www.cs.columbia.edu/~allen/PAPERS/varley_iros_2017.pdf)]
741 | * VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection, **CVPR, 2018**, [[Paper](https://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_VoxelNet_End-to-End_Learning_CVPR_2018_paper.pdf)]
742 | * Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter, **PMLR, 2020**, [[Paper](https://proceedings.mlr.press/v155/breyer21a.html)]
743 | * RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation, **CoRL, 2024**, [[Website](https://openreview.net/forum?id=UHxPZgK33I)]
744 | * Dynamic Open-Vocabulary 3D Scene Graphs for Long-Term Language-Guided Mobile Manipulation, **IEEE, 2025**, [[Website](https://ouci.dntb.gov.ua/en/works/4grdOgwW/)]
745 | * GraspNeRF: Multiview-based 6-DoF Grasp Detection for Transparent and Specular Objects Using Generalizable NeRF, **ICRA, 2023**, [[Website](https://arxiv.org/abs/2210.06575)]
746 | * Evo-NeRF: Evolving NeRF for Sequential Robot Grasping of Transparent Objects, **CoRL, 2022**, [[Website](https://openreview.net/forum?id=Bxr45keYrf)]
747 | * Dex-NeRF: Using a Neural Radiance Field to Grasp Transparent Objects, **CoRL, 2021**,[[Paper](https://proceedings.mlr.press/v164/ichnowski22a/ichnowski22a.pdf)]
748 | * ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation, **ECCV, 2024**, [[Website](https://link.springer.com/chapter/10.1007/978-3-031-72761-0_20)]
749 | * GraspSplats: Efficient Manipulation with 3D Feature Splatting, **CoRL, 2024**, [[Website](https://openreview.net/forum?id=pPhTsonbXq)]
750 | * GaussianGrasper: 3D Language Gaussian Splatting for Open-Vocabulary Robotic Grasping, **IEEE**, [[Website](https://ieeexplore.ieee.org/document/10607869)]
751 | * SplatSim: Zero-Shot Sim2Real Transfer of RGB Manipulation Policies Using Gaussian Splatting, **IEEE**, [[Website](https://ieeexplore.ieee.org/document/11128339)]
752 | * LERF: Language Embedded Radiance Fields, **ICCV, 2023**, [[Paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Kerr_LERF_Language_Embedded_Radiance_Fields_ICCV_2023_paper.pdf)]
753 | * Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation, **CoRL, 2023**, [[Website](https://openreview.net/forum?id=Rb0nGIt_kh5)]
754 | * CATNIPS: Collision Avoidance Through Neural Implicit Probabilistic Scenes, **IEEE, 2024**, [[Paper](https://msl.stanford.edu/papers/chen_catnips_2024.pdf)]
755 | * Enhancing Exploratory Capability of Visual Navigation Using Uncertainty of Implicit Scene Representation, **IEEE, 2024**, [[Website](https://ieeexplore.ieee.org/document/10801778)]
756 | * Ditto: Building Digital Twins of Articulated Objects from Interaction, **CVPR, 2022**. [[Paper](https://arxiv.org/abs/2202.08227)] [[Code](https://github.com/UT-Austin-RPL/Ditto)] [[Website](https://ut-austin-rpl.github.io/Ditto/)]
757 | * Relational-NDF:SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields, **CoRL 2022**. [[Paper](https://arxiv.org/pdf/2211.09786.pdf)] [[Code](https://github.com/anthonysimeonov/relational_ndf)] [[Website](https://anthonysimeonov.github.io/r-ndf/)]
758 | * Neural Descriptor Fields:SE(3)-Equivariant Object Representations for Manipulation, **ICRA, 2022**. [[Paper](https://arxiv.org/abs/2112.05124)] [[Code](https://github.com/anthonysimeonov/ndf_robot)] [[Website](https://yilundu.github.io/ndf/)]
759 | * Neural Motion Fields: Encoding Grasp Trajectories as Implicit Value Functions, **RSS 2022**. [[Paper](https://arxiv.org/pdf/2206.14854.pdf)] [[Video](https://youtu.be/B-pEhT1pi-Q)]
760 | * Grasping Field: Learning Implicit Representations for Human Grasps, **3DV 2020**. [[Paper](https://arxiv.org/pdf/2008.04451.pdf)] [[Code](https://github.com/korrawe/grasping_field)] [[Video](https://youtu.be/J8x5i1FCgTQ)]
761 | * GIGA: Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations, **RSS, 2021**. [[Paper](https://arxiv.org/abs/2104.01542)] [[Code](https://github.com/UT-Austin-RPL/GIGA)] [[Website](https://sites.google.com/view/rpl-giga2021)]
762 | * ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations, **CoRL, 2021**. [[Paper](https://arxiv.org/pdf/2109.07991.pdf)] [[Code](https://github.com/rhgao/ObjectFolder)] [[Website](https://ai.stanford.edu/~rhgao/objectfolder/)]
763 | * ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer, **CVPR, 2022**. [[Paper](https://arxiv.org/pdf/2204.02389.pdf)] [[Code](https://github.com/rhgao/ObjectFolder)] [[Website](https://ai.stanford.edu/~rhgao/objectfolder2.0/)]
764 | * Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation, **ICRA, 2023**. [[Paper](https://arxiv.org/pdf/2302.03573.pdf)] [[Code](https://github.com/elchun/lndf_robot)] [[Website](https://elchun.github.io/lndf/)]
765 | * Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning, **ICLR, 2023**. [[Paper](https://openreview.net/forum?id=dnjZSPGmY5O)] [[Code](https://github.com/tomato1mule/edf)]
766 | * Point'n Move: Interactive Scene Object Manipulation on Gaussian Splatting Radiance Fields, *arXiv*. [[Paper](https://arxiv.org/pdf/2311.16737.pdf)]
767 | * MANUS: Markerless Hand-Object Grasp Capture using Articulated 3D Gaussians, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2312.02137.pdf)]
768 | * Reinforcement Learning with Generalizable Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2404.07950.pdf)]
769 | * GaussianGrasper: 3D Language Gaussian Splatting for Open-vocabulary Robotic Grasping, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.09637)] [[Code](https://github.com/MrSecant/GaussianGrasper)]
770 | * 3D-Aware Manipulation with Object-Centric Gaussian Splatting, *arXiv*. [[Paper](https://object-aware-gaussian.github.io/assets/pdf/corl.pdf)] [[Website](https://object-aware-gaussian.github.io/)]
771 | * Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks, *arXiv*. [[Paper](https://arxiv.org/pdf/2406.15149)]
772 | * Physically Embodied Gaussian Splatting: A Realtime Correctable World Model for Robotics, *arXiv*. [[Paper](https://arxiv.org/pdf/2406.10788)]
773 | * Radiance Fields for Robotic Teleoperation, *arXiv*. [[Paper](https://arxiv.org/pdf/2407.20194)]
774 | * Dynamic 3D Gaussian Tracking for Graph-Based Neural Dynamics Modeling, *arXiv*. [[Paper](https://gaussian-gbnd.github.io/)]
775 | * GraspSplats: Efficient Manipulation with 3D Feature Splatting, **CoRL, 2024**. [[Paper](https://arxiv.org/pdf/2409.02084)] [[Website](https://graspsplats.github.io/)] [[Code](https://github.com/jimazeyu/GraspSplats)]
776 | * SplatSim: Zero-Shot Sim2Real Transfer of RGB Manipulation Policies Using Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.10161)]
777 | * HGS-Planner: Hierarchical Planning Framework for Active Scene Reconstruction Using 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2409.17624)]
778 | * DreamHOI: Subject-Driven Generation of 3D Human-Object Interactions with Diffusion Priors, *arXiv*. [[Paper](https://arxiv.org/abs/2409.08279)]
779 | * ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2403.08321)]
780 | * MSGField: A Unified Scene Representation Integrating Motion, Semantics, and Geometry for Robotic Manipulation, *arXiv*. [[Paper](https://arxiv.org/abs/2410.15730)]
781 | * EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation, *arXiv*. [[Paper](https://arxiv.org/abs/2501.01895)]
782 | ### 5.8 Foundation Model
783 |
784 | ## 6.Simulation
785 | ### 6.1 Point Cloud
786 | ### 6.2 Voxel Grid
787 | ### 6.3 Signed Distance Field(SDF)
788 | ### 6.4 Mesh
789 | ### 6.5 Scene Graph
790 | ### 6.6 Neural Radiance Fields(NeRF)
791 | ### 6.7 3D Gaussian Splatting(3DGS)
792 | * Control4D: Efficient 4D Portrait Editing with Text, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2305.20082.pdf)] [[Website](https://control4darxiv.github.io/)]
793 | * Comp4D: LLM-Guided Compositional 4D Scene Generation, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.16993.pdf)] [[Website](https://vita-group.github.io/Comp4D/)] [[Code](https://github.com/VITA-Group/Comp4D)]
794 | * GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2402.07207.pdf)] [[Website](https://gala3d.github.io/)] [[Code](https://github.com/VDIGPKU/GALA3D)]
795 | * Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting, *arXiv*. [[Paper](https://lizhiqi49.github.io/MVControl/assets/paper.pdf)] [[Website](https://lizhiqi49.github.io/MVControl/)] [[Code](https://github.com/WU-CVGL/MVControl-threestudio)]
796 | * Hyper-3DG:Text-to-3D Gaussian Generation via Hypergraph, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.09236.pdf)] [[Website](https://arxiv.org/abs/2403.09236)] [[Code](https://github.com/yjhboy/Hyper3DG)]
797 | * DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling, *arXiv*. [[Paper](https://arxiv.org/pdf/2404.03575.pdf)] [[Website](https://dreamscene-project.github.io/)] [[Code](https://github.com/DreamScene-Project/DreamScene)]
798 | * BrightDreamer: Generic 3D Gaussian Generative Framework for Fast Text-to-3D Synthesis, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.11273)] [[Website](https://vlislab22.github.io/BrightDreamer/)] [[Code](https://github.com/lutao2021/BrightDreamer)]
799 | * GVGEN: Text-to-3D Generation with Volumetric Representation, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.12957)] [[Website](https://gvgen.github.io/)] [[Code](https://github.com/GVGEN/GVGEN)]
800 | * DreamPolisher: Towards High-Quality Text-to-3D Generation via Geometric Diffusion, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.17237)] [[Website](https://yuanze-lin.me/DreamPolisher_page/)] [[Code](https://github.com/yuanze-lin/DreamPolisher)]
801 | * DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2404.06903)] [[Website](https://dreamscene360.github.io/)]
802 | * RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion, *arXiv*. [[Paper](https://arxiv.org/pdf/2404.07199)] [[Website](https://realmdreamer.github.io/)]
803 | * Text-to-3D using Gaussian Splatting, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2309.16585.pdf)] [[Website](https://gsgen3d.github.io/)] [[Code](https://github.com/gsgen3d/gsgen)]
804 | * DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation, *arXiv*. [[Paper](https://arxiv.org/pdf/2309.16653.pdf)] [[Website](https://dreamgaussian.github.io/)] [[Code](https://github.com/dreamgaussian/dreamgaussian)]
805 | * GaussianDreamer: Fast Generation from Text to 3D Gaussian Splatting with Point Cloud Priors, *arXiv*. [[Paper](https://arxiv.org/pdf/2310.08529.pdf)] [[Website](https://taoranyi.com/gaussiandreamer/)] [[Code](https://github.com/hustvl/GaussianDreamer)]
806 | * GaussianDiffusion: 3D Gaussian Splatting for Denoising Diffusion Probabilistic Models with Structured Noise, *arXiv*. [[Paper](https://arxiv.org/pdf/2311.11221.pdf)] [[Website](https://arxiv.org/abs/2311.11221)]
807 | * LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2311.11284.pdf)] [[Website](https://arxiv.org/abs/2311.11284)] [[Code](https://github.com/EnVision-Research/LucidDreamer)]
808 | * CG3D: Compositional Generation for Text-to-3D, *arXiv*. [[Paper](https://arxiv.org/pdf/2311.17907.pdf)] [[Website](https://asvilesov.github.io/CG3D/)]
809 | * Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2304.08818.pdf)] [[Website](https://research.nvidia.com/labs/toronto-ai/AlignYourGaussians/)]
810 | * Text2Immersion: Generative Immersive Scene with 3D Gaussian, *arXiv*. [[Paper](https://arxiv.org/pdf/2312.09242.pdf)] [[Website](https://ken-ouyang.github.io/text2immersion/index.html)]
811 | * GSEdit: Efficient Text-Guided Editing of 3D Objects via Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.05154.pdf)]
812 | * GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.08733.pdf)]
813 | * View-Consistent 3D Editing with Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.11868.pdf)]
814 | * Gaussian Frosting: Editable Complex Radiance Fields with Real-Time Rendering, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.14554)] [[Website](https://anttwo.github.io/frosting/)] [[Code](https://github.com/Anttwo/Frosting)]
815 | * ICE-G: Image Conditional Editing of 3D Gaussian Splats, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2406.08488)] [[Website](https://ice-gaussian.github.io/)]
816 | * GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2311.14521.pdf)] [[Website](https://buaacyw.github.io/gaussian-editor/)] [[Code](https://github.com/buaacyw/GaussianEditor)]
817 | * GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2311.16037.pdf)] [[Website](https://gaussianeditor.github.io/)]
818 | * Gaussian Grouping: Segment and Edit Anything in 3D Scenes, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2312.00732.pdf)] [[Code](https://github.com/lkeab/gaussian-grouping)]
819 | * StyleGaussian: Instant 3D Style Transfer with Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.07807.pdf)] [[Website](https://kunhao-liu.github.io/StyleGaussian/)] [[Code](https://github.com/Kunhao-Liu/StyleGaussian)]
820 | * Gaussian Splatting in Style, *arXiv*. [[Paper](https://arxiv.org/pdf/2403.08498)]
821 | * StylizedGS: Controllable Stylization for 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/pdf/2404.05220)]
822 | * 3DEgo: 3D Editing on the Go!, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2407.10102.pdf)]
823 | * GScream: Learning 3D Geometry and Feature Consistent Gaussian Splatting for Object Removal, **ECCV, 2024**. [[Paper](https://arxiv.org/abs/2404.13679)]
824 | * Gaussian Splatting with Localized Points Management, *arXiv, 2024*. [[Paper](https://arxiv.org/abs/2406.04251)]
825 | * Localized Gaussian Splatting Editing with Contextual Awareness, *arXiv, 2024*. [[Paper](https://arxiv.org/abs/2408.00083)]
826 | * 3D Gaussian Editing with A Single Image, *arXiv*. [[Paper](https://arxiv.org/abs/2408.07540)]
827 | * G-Style: Stylized Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2408.15695)]
828 | * AGG: Amortized Generative 3D Gaussians for Single Image to 3D, *arXiv*. [[Paper](https://arxiv.org/pdf/2401.04099.pdf)] [[Website](https://ir1d.github.io/AGG/)]
829 | * Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting, *arXiv*. [[Paper](https://arxiv.org/pdf/2312.13271.pdf)] [[Website](https://pku-yuangroup.github.io/repaint123/)] [[Code](https://github.com/PKU-YuanGroup/repaint123)]
830 | * GaussianPU: A Hybrid 2D-3D Upsampling Framework for Enhancing Color Point Clouds via 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2409.01581)]
831 | * WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians, *arXiv*. [[Paper](https://arxiv.org/abs/2409.17917)]
832 | * Generative Object Insertion in Gaussian Splatting with a Multi-View Diffusion Model, *arXiv*. [[Paper](https://arxiv.org/abs/2409.16938)]
833 | * TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts, *arXiv*. [[Paper](https://arxiv.org/pdf/2401.14828.pdf)] [[Website](https://zjy526223908.github.io/TIP-Editor/)]
834 | * DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos, *arXiv*. [[Paper](https://arxiv.org/pdf/2405.02280)] [[Website](https://dreamscene4d.github.io/)] [[Code](https://github.com/dreamscene4d/dreamscene4d)]
835 | * Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation, **ECCV, 2024**. [[Paper](https://arxiv.org/pdf/2407.13584)] [[Code](https://github.com/LMozart/ECCV2024-GCS-BEG)]
836 | * DreamMapping: High-Fidelity Text-to-3D Generation via Variational Distribution Mapping, *arXiv*. [[Paper](https://arxiv.org/abs/2409.05099)]
837 | * DreamMesh: Jointly Manipulating and Texturing Triangle Meshes for Text-to-3D Generation, *arXiv*. [[Paper](https://arxiv.org/abs/2409.07454)]
838 | * Hi3D: Pursuing High-Resolution Image-to-3D Generation with Video Diffusion Models, *arXiv*. [[Paper](https://arxiv.org/abs/2409.07452)]
839 | * SceneTeller: Language-to-3D Scene Generation, **ECCV 2024**. [[Paper](https://arxiv.org/pdf/2407.20727.pdf)]
840 | * HoloDreamer: Holistic 3D Panoramic World Generation from Text Descriptions, *arXiv*. [[Paper](https://arxiv.org/pdf/2407.15187.pdf)]
841 | * SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency, *arXiv*. [[Paper](https://arxiv.org/pdf/2407.17470.pdf)]
842 | * ART3D: 3D Gaussian Splatting for Text-Guided Artistic Scenes Generation, **CVPR, 2024**. [[Paper](https://arxiv.org/pdf/2405.10508.pdf)]
843 | * 3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generation, *arXiv*. [[Paper](https://arxiv.org/pdf/2410.18974.pdf)]
844 | * ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing, *arXiv*. [[Paper](https://arxiv.org/pdf/2411.05006)]
845 | * Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation, *arXiv*. [[Paper](https://arxiv.org/abs/2411.14384)]
846 | * Generating 3D-Consistent Videos from Unposed Internet Photos, *arXiv*. [[Paper](https://arxiv.org/abs/2411.13549)]
847 | * Direct and Explicit 3D Generation from a Single Image, *arXiv*. [[Paper](https://arxiv.org/abs/2411.10947)]
848 | * PhyCAGE: Physically Plausible Compositional 3D Asset Generation from a Single Image, *arXiv*. [[Paper](https://arxiv.org/abs/2411.18548)]
849 | * Neural Surface Priors for Editable Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2411.18311)]
850 | * SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis, *arXiv*. [[Paper](https://arxiv.org/abs/2411.16443)]
851 | * Distractor-free Generalizable 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2411.17605)]
852 | * Text-to-3D Gaussian Splatting with Physics-Grounded Motion Generation, *arXiv*. [[Paper](https://arxiv.org/abs/2412.05560)]
853 | * Diffusion-Based Attention Warping for Consistent 3D Scene Editing, *arXiv*. [[Paper](https://arxiv.org/abs/2412.07984)]
854 | * ProGDF: Progressive Gaussian Differential Field for Controllable and Flexible 3D Editing, *arXiv*. [[Paper](https://arxiv.org/abs/2412.08152)]
855 | * EditSplat: Multi-View Fusion and Attention-Guided Optimization for View-Consistent 3D Scene Editing with 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2412.11520)]
856 | * 3DSceneEditor: Controllable 3D Scene Editing with Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2412.01583)]
857 | * Instant3dit: Multiview Inpainting for Fast Editing of 3D Objects, *arXiv*. [[Paper](https://arxiv.org/abs/2412.00518)]
858 | * ZDySS -- Zero-Shot Dynamic Scene Stylization using Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2501.03875)]
859 | * Drag Your Gaussian: Effective Drag-Based Editing with Score Distillation for 3D Gaussian Splatting, *arXiv*. [[Paper](https://arxiv.org/abs/2501.18672)]
860 | ### 6.8 Foundation Model
861 |
862 | ---
863 | ## Citation
864 |
865 | If you find this repository useful, please consider citing this list:
866 |
867 | ```
868 | @article{deng2025best,
869 | title={What Is The Best 3D Scene Representation for Robotics? From Geometric to Foundation Models},
870 | author={Deng, Tianchen and Pan, Yue and Yuan, Shenghai and Li, Dong and Wang, Chen and Li, Mingrui and Chen, Long and Xie, Lihua and Wang, Danwei and Wang, Jingchuan and others},
871 | journal={arXiv preprint arXiv:2512.03422},
872 | year={2025}
873 | }
874 | ```
875 |
--------------------------------------------------------------------------------