# Awesome-3DGS-Applications

**Repository Path**: Steven-wei/Awesome-3DGS-Applications

## Basic Information

- **Project Name**: Awesome-3DGS-Applications
- **Description**: 111111111111
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
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- **Created**: 2026-07-13
- **Last Updated**: 2026-07-13

## Categories & Tags

**Categories**: Uncategorized

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## README

# 🔍 A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation
<p align="center">
    <a href="https://heshuting555.github.io/"><strong>Shuting He </strong></a>
   ·
    <a href=""><strong> Peilin Ji </strong></a>
    ·
    <a href="https://scholar.google.com/citations?user=whWr9fEAAAAJ&hl=zh-CN"><strong>Yitong Yang </strong></a>
    ·
    <a href="https://scholar.google.com/citations?user=dsV9sgwAAAAJ&hl=zh-CN"><strong>Changshuo Wang </strong></a>
    ·
    <a href="https://scholar.google.com/citations?user=xp_rICcAAAAJ&hl=zh-CN"><strong>Jiayi Ji</strong></a>
    ·
    <a href="http://simecv.sufe.edu.cn/page.aspx?id=80"><strong>Yinglin Wang</strong></a>
    ·
    <a href="https://henghuiding.github.io/"><strong>Henghui Ding</strong></a>
  </p>

  <p align="center">
    <a href="https://arxiv.org/abs/2508.09977">
      <img src='https://img.shields.io/badge/Paper-PDF-green?style=flat&logo=arXiv&' alt='arXiv PDF'>
    </a>
  </p>

🎉 Our paper is accepted to TPAMI!

💡 Welcome to the official repository of our survey paper.

📌 Please feel free to [open issues or pull requests](https://github.com/heshuting555/Awesome-3DGS-Applications/issues/3) for any possibly missed wonderful work. 

## ✨ Introduction
We present the first dedicated survey that systematically reviews downstream applications of 3DGS beyond classical view synthesis. Specifically, we focus on three rapidly evolving directions, namely segmentation, editing, and generation.
<p align="center">
  <img src="figs/survey_pipeline.png" width="100%">
</p>


## 📚 Table of Contents

- [✂️ Existing Datasets for 3DGS Segmentation](#%EF%B8%8F-existing-datasets-for-3dgs-segmentation)
- [🗂️ Existing Datasets for 3DGS Editing](#%EF%B8%8F-existing-datasets-for-3dgs-editing)
- [🧩 Existing Datasets for 3DGS Generation](#-existing-datasets-for-3dgs-generation)
- [🛠️ Existing Methods for 3DGS Segmentation](#%EF%B8%8F-existing-methods-for-3dgs-segmentation)
- [✏️ Existing Methods for 3DGS Editing](#%EF%B8%8F-existing-methods-for-3dgs-editing)
- [🎨 Existing Methods for 3DGS Generation](#-existing-methods-for-3dgs-generation)
- [🎖 Other Application Tasks](#other-application-tasks)
  - [Human Avatar](#human-avatar)
  - [SLAM](#slam)
  - [3DGS Detection](#3dgs-detection)
- [⛳ Related Survey](#-related-survey)
- [📢 Citation](#-citation)

## ✂️ Existing Datasets for 3DGS Segmentation

This section summarizes commonly used datasets for segmentation tasks in 3D Gaussian Splatting.

| Datasets with URL   | Venue     | #Scenes | #Views  | Highlight |
|---------------------|-----------|---------|--------|-----------|
|[ScanNet](https://arxiv.org/abs/1702.04405)| CVPR'17 | 1513 | 1500  | Large-scale RGB-D scans with 3D poses and semantics for advanced scene understanding.|
|[Replica](https://arxiv.org/pdf/1906.05797) | ArXiv'19 | 18 | 175 | High-quality indoor scans with geometry, HDR textures, and rich semantic labels.|
|[NVOS](https://arxiv.org/abs/2103.05606) | CVPR'21 | 8 | 36 | Built on LLFF with undistorted images, annotated with masks and scribbles for segmentation tasks.| 
|[Mip-NeRF 360](https://arxiv.org/abs/2111.12077) | CVPR'22 | 9 | 215 | Focusing on capturing complex lighting, geometry, and texture details.|
|[SPIn-NeRF](https://arxiv.org/abs/2211.12254) | CVPR'23 | 10 | 100  | Providing challenging real-world scenes with views both with and without a target object.|
|[3D-OVS](https://arxiv.org/abs/2305.14093) | NeurIPS'23 | 10 | 30 | Including high-quality 3D objects spanning diverse categories with language-aligned semantic labels.|
| [LERF-OVS](https://arxiv.org/abs/2312.16084) | CVPR'24 | 4 | 200 | An extended version of LERF dataset with ground truth mask annotations for open-vocabulary segmentation.|
|[LERF-Mask](https://arxiv.org/abs/2312.00732) | ECCV'24 | 3 | 200 | Containing semantic annotations of three scenes from LERF dataset with a total of 23 prompts.|
|[Ref-LERF](https://openreview.net/forum?id=reuShgiHdg)| ICML'25 | 4 | 200 | Focusing on spatial relationships, annotated with natural language expressions for referring 3DGS segmentation.|
|[SceneSplat-7K](https://arxiv.org/abs/2503.18052) | ICCV'25 | 7k | - | The first large-scale, high-quality 3DGS dataset for indoor environments boosting scene understanding research.|
|[SceneSplat-49K](https://arxiv.org/abs/2506.08710)| ArXiv'25 | 49k |- | Containing diverse indoor and outdoor scenes, featuring complex, high-quality full scenes from multiple sources.|


## 🗂️ Existing Datasets for 3DGS Editing

This section introduces datasets suitable for 3D editing tasks.

| Datasets with URL   | Venue     | #Scenes | #Views  | Highlight |
|---------------------|-----------|---------|--------|-----------|
| [DTU](https://www.cv-foundation.org/openaccess/content_cvpr_2014/html/Jensen_Large_Scale_Multi-view_2014_CVPR_paper.html) | CVPR'14 | 80 | 343 | Each scene consists of 49 or 64 accurate camera positions and reference structured light scans. |
| [Tanks and Temples](https://dl.acm.org/doi/abs/10.1145/3072959.3073599) | TOG'17 | 14 | - | Includes individual objects (e.g., Tank, Train) and large indoor scenes (e.g., Auditorium, Museum). |
| [GL3D](https://arxiv.org/abs/1811.10343) | ACCV'18 | 543 | 230 | Contains 125,623 high-res images captured by drones from various environments with geometric overlap. |
| [LLFF](https://arxiv.org/abs/1905.00889) | TOG'19 | 32 | 25 | Uses COLMAP SfM to compute poses for real images. |
| [BlendedMVS](https://arxiv.org/abs/1911.10127) | CVPR'20 | 113 | 158 | A large-scale MVS dataset, which contains a total of 17,818 images. |
| [NeRF-synthetic](https://arxiv.org/abs/2003.08934)| ECCV'20 | 8 | 100 | Objects on white backgrounds with 800×800 images and camera poses. |
| [Co3D](https://arxiv.org/abs/2109.00512) | CVPR'21 | - | - | Consists of 1.5 million frames extracted from ~19,000 videos, covering 50 MS-COCO categories with camera poses and 3D point clouds. |
| [Mip-NeRF360](https://arxiv.org/abs/2111.12077) | CVPR'22 | 9 | 215 | 360° panoramic images from indoor and outdoor environments. |
| [SPIn-NeRF](https://arxiv.org/abs/2211.12254) | CVPR'23 | 10 | 100 | Providing challenging real-world scenes with views both with and without a target object. |
| [IN2N](https://arxiv.org/abs/2303.12789) | ICCV'23 | 6 | 172 | Enabling structured and globally consistent 3D scene modifications while preserving the original scene's identity. |
| [ScanNet++](https://arxiv.org/abs/2308.11417) | ICCV'23 | 460 | 608 | 280,000 captured DSLR images, and over 3.7M iPhone RGBD frames. |
| [NeRFstudio](https://arxiv.org/abs/2302.04264) | SIGGRAPH'23 | 10 | - | Includes 4 phone captures with pinhole lenses and 6 mirrorless camera captures with fisheye lenses. |
| [360-USIDdataset](https://openreview.net/forum?id=AMVLOv30Qg) | ArXiv'25 | 7 | 300 | Includes 4 outdoor (Box, Cone, Lawn, Plant) and 3 indoor (Cookie, Sunflower, Dustpan) scenes. |



## 🧩 Existing Datasets for 3DGS Generation

This section covers datasets used for 3DGS-based generation tasks.

| Datasets with URL   | Venue     | #Type | #Scenes  | Highlight |
|---------------------|-----------|---------|--------|-----------|
| [NYUdepth](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/11/shkf_eccv2012.pdf)| ECCV'12 | Image-to-3D | 464 | Contains 1449 RGBD images, capturing 464 diverse indoor scenes, with detailed annotations. |
| [ShapeNet](https://arxiv.org/abs/1512.03012) | ArXiv'15 | Image & Text-to-3D | 60K | These 3D models span 55 categories, each with a geometry file and unique identifier. |
| [ScanNet](https://arxiv.org/abs/1702.04405) | CVPR'17 | Image-to-3D | 1513 | Contains 2.5M views in 1513 indoor scenes annotated with 3D camera poses. |
| [RealEstate10K](https://arxiv.org/abs/1805.09817) | SIGGRAPH'18 | Image-to-3D | 80K | Comprises home walkthrough videos from YouTube. |
| [Replica](https://arxiv.org/pdf/1906.05797) | ArXiv'19 | Image-to-3D | 18 | A 3D indoor scene dataset featuring dense meshes, HDR textures, and semantic labels. |
| [ACID](https://arxiv.org/abs/2012.09855) | ICCV'21 | Image-to-3D | 13,047 | Features aerial landscape videos, includes 11,075 training scenes and 1,972 testing scenes. |
| [GSO](https://arxiv.org/abs/2204.11918) | ICRA'22 | Image & Text-to-3D | 1030 | Comprises 3D scanned common household items. |
| [LAION-5B](https://arxiv.org/abs/2210.08402) | NeurIPS'22 | Text-to-3D | - | LAION-5B's key feature is its vast scale, with 5.85 billion image-text pairs. |
| [Objaverse](https://arxiv.org/abs/2212.08051) | CVPR'23 | Image & Text-to-3D | 800K | Objaverse has a vast scale of 800K+ 3D models with rich annotations. |
| [OmniObject3D](https://arxiv.org/abs/2301.07525) | CVPR'23 | Image-to-3D | 6K | A large-scale collection of high-quality real-scanned 3D objects with rich 2D and 3D annotations. |
| [LOM](https://arxiv.org/abs/2312.09093) | AAAI'24 | Image-to-3D | 5 | Includes 5 real-world scenes, each with 25–48 sRGB images captured in difficult lighting. |
| [G-objaverse](https://link.springer.com/chapter/10.1007/978-3-031-72684-2_4) | ECCV'24 | Image & Text-to-3D | 280K | Contains 10 general classes totaling about 280K samples. |
| [DL3DV-10K](https://dl3dv-10k.github.io/DL3DV-10K/) | CVPR'24 | Image-to-3D | 10K | Large-scale scene dataset that contains both indoor and outdoor scenarios.|




## 🛠️ Existing Methods for 3DGS Segmentation

A summary of key segmentation approaches based on 3DGS.

| Year   | Venue     | Paper Abbr | Paper Title            |  Project/Code                                 |
|---------------------|-----------|--------------------|---------------------------|-------------|
| 2023 | NeurIPS  | SA3D | [ Segment Anything in 3D with Radiance Fields](http://arxiv.org/abs/2304.12308) |[Code](https://github.com/Jumpat/SegmentAnythingin3D) |
| 2024 | ArXiv | DCSEG | [ DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting](http://arxiv.org/abs/2412.10972) | [Code](https://github.com/lusxvr/dcseg)  |
| 2024 | ArXiv | SuperGSeg | [ SuperGSeg: Open-Vocabulary 3D Segmentation with Structured Super-Gaussians](http://arxiv.org/abs/2412.10231) | [Code](https://supergseg.github.io/) |
| 2024 | ArXiv | GS3 | [ Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting](https://arxiv.org/abs/2411.18667) | ❌ |
| 2024 | ArXiv  | SAGD | [ SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian Decomposition](https://arxiv.org/abs/2401.17857) | [Code](https://github.com/XuHu0529/SAGS) |
| 2024 | ArXiv  | CLIP-GS | [ CLIP-GS: CLIP-Informed Gaussian Splatting for Real-time and View-consistent 3D Semantic Understanding](http://arxiv.org/abs/2404.14249) | [Code](https://gbliao.github.io/CLIP-GS.github.io/)  |
| 2024 | ArXiv  | GSemSplat| [ GSemSplat: Generalizable Semantic 3D Gaussian Splatting from Uncalibrated Image Pairs](http://arxiv.org/abs/2412.16932) | ❌ |
| 2024 | ArXiv  | Semantic Gaussians | [ Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting](http://arxiv.org/abs/2403.15624) | [Code](https://sharinka0715.github.io/semantic-gaussians/) |
| 2024 | ArXiv  | CoSegGaussians | [ Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation](http://arxiv.org/abs/2405.18033) | [Code](https://David-Dou.github.io/CoSegGaussians) |
| 2024 | ArXiv  | LangSurf | [ LangSurf: Language-Embedded Surface Gaussians for 3D Scene Understanding](https://arxiv.org/abs/2412.17635) | [Code](https://langsurf.github.io) |
| 2024 | ArXiv  | GradiSeg | [ GradiSeg: Gradient-Guided Gaussian Segmentation with Enhanced 3D Boundary Precision](http://arxiv.org/abs/2412.00392) | ❌ |
| 2024 | ArXiv  | GLS | [ GLS: Geometry-aware 3D Language Gaussian Splatting](http://arxiv.org/abs/2411.18066) | [Code](https://jiaxiongq.github.io/GLS_ProjectPage/) |
| 2024 | ArXiv  | Gaga | [ Gaga: Group Any Gaussians via 3D-aware Memory Bank](https://arxiv.org/abs/2404.07977) | [Code](https://www.gaga.gallery/) |
| 2024 | ArXiv   | SA4D| [ Segment Any 4D Gaussians](https://arxiv.org/abs/2407.04504) | [Code](https://jsxzs.github.io/sa4d/) |
| 2024 | CVPR |   LangSplat   |        [LangSplat: 3D Language Gaussian Splatting](http://arxiv.org/abs/2312.16084)   |   [Code](https://langsplat.github.io/)    |
| 2024 | CVPR   | OmniSeg3D | [OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning](https://arxiv.org/abs/2311.11666) | [Code](https://github.com/OceanYing/OmniSeg3D-GS) |
| 2024 | CVPR |   Feature 3DGS   |     [Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields](http://arxiv.org/abs/2312.03203)       | [Code](https://feature-3dgs.github.io/) |
| 2024 | CVPR |  LEGaussian |[Language Embedded 3D Gaussians for Open-Vocabulary Scene Understanding](http://arxiv.org/abs/2311.18482) | [Code](https://buaavrcg.github.io/LEGaussians) |
| 2024 | ACM MM | GOI  | [GOI: Find 3D Gaussians of Interest with an Optimizable Open-vocabulary Semantic-space Hyperplane](http://arxiv.org/abs/2405.17596)  | [Code](https://quyans.github.io/GOI-Hyperplane/) |
| 2024 | IJCV | FMGS |[ FMGS: Foundation Model Embedded 3D Gaussian Splatting for Holistic 3D Scene Understanding](http://arxiv.org/abs/2401.01970)  | [Code](https://xingxingzuo.github.io/fmgs/) |
| 2024 | ECCV | Gaussian Grouping | [ Gaussian Grouping: Segment and Edit Anything in 3D Scenes](https://arxiv.org/abs/2312.00732) | [Code](https://github.com/lkeab/gaussian-grouping) |
| 2024 | ECCV | EgoLifter | [ EgoLifter: Open-world 3D Segmentation for Egocentric Perception](http://arxiv.org/abs/2403.18118) | [Code](https://egolifter.github.io/) |
| 2024 | ECCV | Click-Gaussian | [ Click-Gaussian: Interactive Segmentation to Any 3D Gaussians](https://arxiv.org/abs/2407.11793) | [Code](https://seokhunchoi.github.io/Click-Gaussian/) |
| 2024 | ECCV | FiT3D | [ Improving 2D Feature Representations by 3D-Aware Fine-Tuning](http://arxiv.org/abs/2407.20229) | [Code](https://ywyue.github.io/FiT3D) |
| 2024 | ECCV | N2F2 | [ N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields](https://arxiv.org/abs/2403.10997) | ❌ |
| 2024 | ECCV  | FlashSplat| [ FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally](http://arxiv.org/abs/2409.08270) | [Code](https://github.com/florinshen/FlashSplat) |
| 2024 | NeurIPS  | GaussianCut | [ GaussianCut: Interactive segmentation via graph cut for 3D Gaussian Splatting](http://arxiv.org/abs/2411.07555) | ❌  |
| 2024 | NeurIPS | OpenGaussian | [ OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding](http://arxiv.org/abs/2406.02058) | [Code](https://3d-aigc.github.io/OpenGaussian) |
| 2024 | NeurIPS | LSM | [Large Spatial Model: End-to-end Unposed Images to Semantic 3D](https://arxiv.org/abs/2410.18956) | [Code](https://github.com/NVlabs/LSM) |
| 2024 | ICPR | CGC | [ Contrastive Gaussian Clustering: Weakly Supervised 3D Scene Segmentation](https://arxiv.org/abs/2404.12784) | ❌ |
| 2024 | BMVC  | RT-GS2 | [ RT-GS2: Real-Time Generalizable Semantic Segmentation for 3D Gaussian Representations of Radiance Fields](http://arxiv.org/abs/2405.18033) | [Code](https://mbjurca.github.io/rt-gs2/) |
| 2025 | ArXiv   | THGS | [Training-Free Hierarchical Scene Understanding for Gaussian Splatting with Superpoint Graphs](https://arxiv.org/abs/2504.13153) | [Code](https://github.com/Atrovast/THGS) |
| 2025 | ArXiv   | SemanticSplat | [SemanticSplat: Feed-Forward 3D Scene Understanding with Language-Aware Gaussian Fields](https://arxiv.org/abs/2506.09565) | [Code](https://semanticsplat.github.io/) |
| 2025 | ArXiv  | FMLGS | [FMLGS: Fast Multilevel Language Embedded Gaussians for Part-level Interactive Agents](https://arxiv.org/abs/2504.08581) | ❌ |
| 2025 | ArXiv  | seconGS | [Semantic Consistent Language Gaussian Splatting for Point-Level Open-vocabulary Querying](https://arxiv.org/abs/2503.21767) | [Code](https://evelinyin.github.io/seconGS/) |
| 2025 | ArXiv   | CAGS | [CAGS: Open-Vocabulary 3D Scene Understanding with Context-Aware Gaussian Splatting](https://arxiv.org/abs/2504.11893) | ❌ |
| 2025 | ArXiv   | SpatialSplat | [SpatialSplat: Efficient Semantic 3D from Sparse Unposed Images](https://arxiv.org/abs/2505.23044) | ❌ |
| 2025 | AAAI | SAGA | [ Segment Any 3D Gaussians](https://arxiv.org/abs/2312.00860) | [Code](https://jumpat.github.io/SAGA/) |
| 2025 | AAAI | FastLGS | [ FastLGS: Speeding up Language Embedded Gaussians with Feature Grid Mapping](http://arxiv.org/abs/2406.01916) | [Code](https://george-attano.github.io/FastLGS/)|
| 2025 | AAAI | FreeGS | [Bootstraping clustering of gaussians for view-consistent 3d scene understanding](https://arxiv.org/abs/2411.19551) | [Code](https://github.com/wb014/FreeGS)|
| 2025 | ICLR | VLGaussian | [ 3D Vision-Language Gaussian Splatting](http://arxiv.org/abs/2410.07577) | ❌ |
| 2025 | ICLR   | econSG | [econSG: Efficient and Multi-view Consistent Open-Vocabulary 3D Semantic Gaussians](https://arxiv.org/abs/2504.06003) | [Code](https://lulusindazc.github.io/econSGproject/) |
| 2025 | CVPR   | Unified-Lift| [Rethinking End-to-End 2D to 3D Scene Segmentation in Gaussian Splatting](https://arxiv.org/abs/2503.14029) | [Code](https://github.com/Runsong123/Unified-Lift) |
| 2025 | CVPR   | COB-GS| [COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian Splitting](https://arxiv.org/abs/2503.19443) | [Code](https://github.com/ZestfulJX/COB-GS) |
| 2025 | CVPR   | PanoGS | [PanoGS: Gaussian-based Panoptic Segmentation for 3D Open Vocabulary Scene Understanding](https://arxiv.org/abs/2503.18107) | [Code](https://github.com/zhaihongjia/PanoGS) |
| 2025 | CVPR   | Dr. Splat | [Dr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Registration](https://arxiv.org/abs/2502.16652) | [Code](https://drsplat.github.io/) |
| 2025 | CVPR   | DF_3DGS | [Efficient Decoupled Feature 3D Gaussian Splatting via Hierarchical Compression](https://cvpr.thecvf.com/virtual/2025/poster/34457) | [Code](https://github.com/dai647/DF_3DGS) |
| 2025 | CVPR | InstanceGaussian | [ InstanceGaussian: Appearance-Semantic Joint Gaussian Representation for 3D Instance-Level Perception](https://arxiv.org/abs/2411.19235) | [Code](https://lhj-git.github.io/InstanceGaussian/) |
| 2025 | CVPR   | iSegMan | [iSegMan: Interactive Segment-and-Manipulate 3D Gaussians](https://arxiv.org/abs/2505.11934) | [Code](https://zhao-yian.github.io/iSegMan/) |
| 2025 | ICCV  | ILGS | [Identity-aware Language Gaussian Splatting for Open-vocabulary 3D Semantic Segmentation](https://iccv.thecvf.com/virtual/2025/poster/2029) | [Code](https://github.com/DCVL-3D/ILGS_release) |
| 2025 | ICCV  | VoteSplat | [VoteSplat: Hough Voting Gaussian Splatting for 3D Scene Understanding](https://arxiv.org/abs/2506.22799) | [Code](https://sy-ja.github.io/votesplat/) |
| 2025 | ICCV  | SceneSplat |[SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining](https://arxiv.org/abs/2503.18052)| [Code](https://unique1i.github.io/SceneSplat_webpage/) |
| 2025 | ICCV  | ObjectGS | [ObjectGS: Object-aware Scene Reconstruction and Scene Understanding via Gaussian Splatting](https://arxiv.org/abs/2507.15454)| [Code](https://ruijiezhu94.github.io/ObjectGS_page/) |
| 2025 | ICCV  | CCL-LGS |[CCL-LGS: Contrastive Codebook Learning for 3D Language Gaussian Splatting](https://arxiv.org/abs/2505.20469)| [Code](https://epsilontl.github.io/CCL-LGS/) |
| 2025 | ICCV  | LUDVIG | [LUDVIG: Learning-free uplifting of 2d visual features to Gaussian splatting scenes](https://arxiv.org/abs/2410.14462) | [Code](https://juliettemarrie.github.io/ludvig/) |
| 2025 | ICCV   | LangScene-X | [LangScene-X: Reconstruct Generalizable 3D Language-Embedded Scenes with TriMap Video Diffusion](https://arxiv.org/abs/2507.02813) | [Code](https://liuff19.github.io/LangScene-X/) |
| 2025 | ACM MM  | SLGaussian | [ SLGaussian: Fast Language Gaussian Splatting in Sparse Views](http://arxiv.org/abs/2412.08331) | [Code](https://chenkangjie1123.github.io/SLGaussian.github.io/)  |
| 2025 | ACM MM  | MaskGaussians | [ MaskGaussians: Advancing Open-Vocabulary 3D Scene Understanding with Dynamic Masking](https://dl.acm.org/doi/10.1145/3728486.3759210) | ❌ |
| 2025 | NeurIPS  | Segment then Splat | [Segment then Splat: A Unified Approach for 3D Open-Vocabulary Segmentation based on Gaussian Splatting](https://arxiv.org/abs/2503.22204) | [Code](https://vulab-ai.github.io/Segment-then-Splat/) |
| 2025 | NeurIPS  | LangSplatV2 | [High-dimensional 3D Language Gaussian Splatting with 450+ FPS](https://arxiv.org/abs/2507.07136) | [Code](https://langsplat-v2.github.io/) |
| 2025 | NeurIPS  | COS3D | [COS3D: Collaborative Open-Vocabulary 3D Segmentation NeurIPS](https://arxiv.org/abs/2510.20238) | [Code](https://github.com/Runsong123/COS3D) |
| 2025 | NeurIPS  | SIU3R | [SIU3R: Simultaneous Scene Understanding and 3D Reconstruction Beyond Feature Alignment](https://arxiv.org/abs/2507.02705) | [Code](https://insomniaaac.github.io/siu3r/) |
| 2025 | WACV  | GaussianBeV | [ GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation](http://arxiv.org/abs/2407.14108) | ❌ |
| 2025 | WACV   | LBG | [Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation](https://arxiv.org/abs/2502.00173) | ❌ |
| 2026 | AAAI   | EvoPropGS | [Evolving Semantic Propagation for Aerial Semantic 3D Gaussian Splatting](https://ojs.aaai.org/index.php/AAAI/article/view/42418) | ❌ |
| 2026 | AAAI   | ID-Splat | [ID-Splat: Propagating Object Identities for Segmenting 3D Aerial-view Scenes](https://ojs.aaai.org/index.php/AAAI/article/view/37995) | ❌ |
| 2026 | AAAI   | UniC-Lift | [UniC-Lift: Unified 3D Instance Segmentation via Contrastive Learning](https://arxiv.org/abs/2512.24763) | [Code](https://github.com/val-iisc/UniC-Lift) |
| 2026 | AAAI   | Binary-Gaussian | [Binary-Gaussian: Compact and Progressive Representation for 3D Gaussian Segmentation](https://ojs.aaai.org/index.php/AAAI/article/view/38142)| ❌ |
| 2026 | AAAI   | IQGS | [IQGS: Instance Query-based Gaussian Segmentation](https://ojs.aaai.org/index.php/AAAI/article/view/42415) | [Code](https://github.com/tom-gao-gyc/IQGS) |
| 2026 | CVPR   | REALM | [REALM: An MLLM-Agent Framework for Open World 3D Reasoning Segmentation and Editing on Gaussian Splatting](https://arxiv.org/abs/2510.16410) | [Code](https://changyueshi.github.io/REALM/) |
| 2026 | CVPR   | ReLaGS | [ReLaGS: Relational Language Gaussian Splatting](https://arxiv.org/abs/2603.17605) | [Code](https://dfki-av.github.io/ReLaGS/) |

## ✏️ Existing Methods for 3DGS Editing

Overview of methods that enable direct or indirect editing of 3DGS content.

| Year | Venue | Paper Abbr | Title | Project/Code |
|------|-------|---------|-------|--------------|
| 2024 | ArXiv | GaussianVTON | [Gaussianvton: 3d human virtual try-on via multi-stage gaussian splatting editing with image prompting](https://arxiv.org/abs/2405.07472) | [Code](https://haroldchen19.github.io/gsvton/) |
| 2024 | ArXiv | Infusion | [InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior](http://arxiv.org/abs/2404.11613) | [Code](https://johanan528.github.io/Infusion/) |
| 2024 | ArXiv | StyleSplat | [Stylesplat: 3d object style transfer with gaussian splatting](https://arxiv.org/abs/2407.09473) | [Code](https://bernard0047.github.io/stylesplat/) |
| 2024 | ArXiv | StylizedGS | [Stylizedgs: Controllable stylization for 3d gaussian splatting](https://arxiv.org/abs/2404.05220) | ❌ |
| 2024 | ArXiv | TIGER | [TIGER: Text-Instructed 3D Gaussian Retrieval and Coherent Editing](http://arxiv.org/abs/2405.14455) | [Code](https://xutanxing.github.io/TIGER/) |
| 2024 | ArXiv | 360-InpaintR | [360-InpaintR: Reference-Guided 3D Inpainting for Unbounded Scenes](https://openreview.net/pdf/ee332494bcd7f9e4b66494d65eb850f61e9a0b43.pdf) | ❌ |
| 2024 | ArXiv        | 3DSceneEditor | [3dsceneeditor: Controllable 3d scene editing with gaussian splatting](https://arxiv.org/abs/2412.01583) | [Code](https://ziyangyan.github.io/3DSceneEditor/) |
| 2024 | ArXiv        | -          | [Diffusion-Based Attention Warping for Consistent 3D Scene Editing](https://arxiv.org/abs/2412.07984) | [Code](https://attention-warp.github.io/) |
| 2024 | ArXiv        | DynamicAvatars | [DynamicAvatars: Accurate Dynamic Facial Avatars Reconstruction and Precise Editing with Diffusion Models](https://arxiv.org/abs/2411.15732) | ❌ |
| 2024 | ArXiv        | -          | [Gaussian splatting in style](https://arxiv.org/abs/2403.08498) | ❌ |
| 2024 | ArXiv      | GSEdit       | [Gsedit: Efficient text-guided editing of 3d objects via gaussian splatting](https://arxiv.org/abs/2403.05154) | ❌ |
| 2024 | ArXiv        | GS-VTON     | [GS-VTON: Controllable 3D Virtual Try-on with Gaussian Splatting](https://arxiv.org/abs/2410.05259) | [Code](https://yukangcao.github.io/GS-VTON/) |
| 2024 | ArXiv        | ICE-G       | [Ice-g: Image conditional editing of 3d gaussian splats](https://arxiv.org/abs/2406.08488) | [Code](https://ice-gaussian.github.io/) |
| 2024 | ArXiv        | InstantStyleGaussian | [Instantstylegaussian: Efficient art style transfer with 3d gaussian splatting](https://arxiv.org/abs/2408.04249) | ❌ |
| 2024 | ArXiv        | MvDrag3D    | [MvDrag3D: Drag-based Creative 3D Editing via Multi-view Generation-Reconstruction Priors](https://arxiv.org/abs/2410.16272) | [Code](https://chenhonghua.github.io/MyProjects/MvDrag3D/) |
| 2024 | ArXiv        | NeuralSurfacePriors | [Neural Surface Priors for Editable Gaussian Splatting](https://arxiv.org/abs/2411.18311) | [Code](https://github.com/WJakubowska/NeuralSurfacePriors) |
| 2024 | ArXiv        | PERSE       | [PERSE: Personalized 3D Generative Avatars from A Single Portrait](https://arxiv.org/abs/2412.21206) | [Code](https://hyunsoocha.github.io/perse/) |
| 2024 | ArXiv        | ProGDF      | [ProGDF: Progressive Gaussian Differential Field for Controllable and Flexible 3D Editing](https://arxiv.org/abs/2412.08152) | ❌ |
| 2024 | ArXiv        | RefFusion   | [Reffusion: Reference adapted diffusion models for 3d scene inpainting](https://arxiv.org/abs/2404.10765) | [Code](https://reffusion.github.io/) |
| 2024 | CVPR | GaussianEditor | [Gaussianeditor: Swift and controllable 3d editing with gaussian splatting](https://arxiv.org/abs/2311.14521) | [Code](https://buaacyw.github.io/gaussian-editor/) |
| 2024 | CVPR | GaussianEditorText | [GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions](https://arxiv.org/abs/2311.16037) | [Code](https://gaussianeditor.github.io/) |
| 2024 | CVPR    | PhysGaussian       | [PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics](https://arxiv.org/abs/2311.12198) | [Code](https://xpandora.github.io/PhysGaussian/) |
| 2024 | CVPR    | SC-GS       | [SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes](https://arxiv.org/abs/2312.14937) | [Code](https://github.com/CVMI-Lab/SC-GS) |
| 2024 | CVPR | FruitNinja | [FruitNinja: 3D Object Interior Texture Generation with Gaussian Splatting](http://arxiv.org/abs/2411.12089) | [Code](https://fanguw.github.io/FruitNinja3D/) |
| 2024 | ECCV | GaussianGrouping | [Gaussian grouping: Segment and edit anything in 3d scenes](https://arxiv.org/abs/2312.00732) | [Code](https://github.com/lkeab/gaussian-grouping) |
| 2024 | ECCV | Texture-GS | [Texture-GS: Disentangling the Geometry and Texture for 3D Gaussian Splatting Editing](http://arxiv.org/abs/2403.10050) | ❌ |
| 2024 | ECCV | GaussCtrl | [GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing](http://arxiv.org/abs/2403.08733) | [Code](https://gaussctrl.active.vision/) |
| 2024 | ECCV       | 3DEgo        | [3DEgo: 3D Editing on the Go!](https://arxiv.org/pdf/2407.10102) | [Code](https://3dego.github.io/) |
| 2024 | ECCV | DGE | [Dge: Direct gaussian 3d editing by consistent multi-view editing](https://arxiv.org/abs/2404.18929) | [Code](https://silent-chen.github.io/DGE/) |
| 2024 | ECCV       | GScream     | [Learning 3D Geometry and Feature Consistent Gaussian Splatting for Object Removal](https://link.springer.com/chapter/10.1007/978-3-031-72646-0_1) | [Code](https://w-ted.github.io/publications/gscream/) |
| 2024 | ECCV       | -         | [View-consistent 3d editing with gaussian splatting](https://link.springer.com/chapter/10.1007/978-3-031-72761-0_23) | [Code](https://vcedit.github.io/) |
| 2024 | ECCV       | WaSt-3D     | [Wast-3d: Wasserstein-2 distance for scene-to-scene stylization on 3d gaussians](https://link.springer.com/chapter/10.1007/978-3-031-72664-4_17) | [Code](https://compvis.github.io/wast3d/) |
| 2024 | NeurIPS    | ReGS        | [ReGS: Reference-based Controllable Scene Stylization with Gaussian Splatting](https://arxiv.org/abs/2407.07220) | ❌ |
| 2024 | NeurIPS    | ProEdit     | [ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing](https://arxiv.org/abs/2411.05006) | [Code](https://immortalco.github.io/ProEdit/) |
| 2024 | NeurIPS    | D-MiSo       | [D-miso: Editing dynamic 3d scenes using multi-gaussians soup](https://arxiv.org/abs/2405.14276) | [Code](https://github.com/waczjoan/D-MiSo) |
| 2024 | Computer Graphics Forum | GSEditPro | [GSEditPro: 3D Gaussian Splatting Editing with Attention‐based Progressive Localization](https://onlinelibrary.wiley.com/doi/abs/10.1111/cgf.15215) | ❌ |
| 2024 | Computer Graphics Forum | G-Style   | [*𝒢*‐Style: Stylized Gaussian Splatting](https://onlinelibrary.wiley.com/doi/abs/10.1111/cgf.15259) | ❌ |
| 2024 | ACM TOG | TIP-Editor | [Tip-editor: An accurate 3d editor following both text-prompts and image-prompts](https://arxiv.org/abs/2401.14828) | [Code](https://zjy526223908.github.io/TIP-Editor/) |
| 2024 | SIGGRAPH | StyleGaussian | [StyleGaussian: Instant 3D Style Transfer with Gaussian Splatting](http://arxiv.org/abs/2404.13679) | [Code](https://kunhao-liu.github.io/StyleGaussian/) |
| 2024 | GCH | SemanticSplatStylization | [SemanticSplatStylization: Semantic scene stylization based on 3D Gaussian splatting and class-based style transfer](https://diglib.eg.org/items/66f69bdd-e664-45cf-b349-46728135847e) | ❌ |
| 2024 | ACM MM    | -       | [3D Gaussian Editing with A Single Image](https://arxiv.org/abs/2408.07540) | ❌ |
| 2024 | ACM MM     | GGAvatar     | [GGAvatar: Reconstructing Garment-Separated 3D Gaussian Splatting Avatars from Monocular Video](https://dl.acm.org/doi/abs/10.1145/3696409.3700241) | [Code](https://github.com/J-X-Chen/GGAvatar/) |
| 2024 | IET Image Processing | PointnMove | [Point'n Move: Interactive scene object manipulation on Gaussian splatting radiance fields](https://arxiv.org/abs/2311.16737) | [Code](https://github.com/jhuangBU/pnm) |
| 2024 | TMLR        | -          | [Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting](https://arxiv.org/abs/2406.02541) | [Code](https://video-3dgs-project.github.io/) |
| 2024 | SIGGRAPH   | PortraitGen | [Portrait video editing empowered by multimodal generative priors](https://dl.acm.org/doi/abs/10.1145/3680528.3687601) | [Code](https://ustc3dv.github.io/PortraitGen/) |
| 2025 | ArXiv       | -         | [Drag Your Gaussian: Effective Drag-Based Editing with Score Distillation for 3D Gaussian Splatting](https://arxiv.org/abs/2501.18672) | [Code](https://quyans.github.io/Drag-Your-Gaussian/) |
| 2025 | ArXiv  | Dragen3D     | [Dragen3D: Multiview Geometry Consistent 3D Gaussian Generation with Drag-Based Control](https://arxiv.org/abs/2502.16475) | ❌ |
| 2025 | ArXiv         | MultiDreamer3D | [MultiDreamer3D: Multi-concept 3D Customization with Concept-Aware Diffusion Guidance](https://arxiv.org/abs/2501.13449) | ❌ |
| 2025 | ACM MM    | PSP       | [Prompt-Softbox-Prompt: A free-text Embedding Control for Image Editing](https://arxiv.org/abs/2408.13623) | ❌ |
| 2025 | ICLR | DreamCatalyst | [DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation](https://arxiv.org/abs/2407.11394) | [Code](https://dream-catalyst.github.io/) |
| 2025 | ICLR        | 3DitScene    | [3DitScene: Editing Any Scene via Language-guided Disentangled Gaussian Splatting](https://arxiv.org/abs/2405.18424) | [Code](https://zqh0253.github.io/3DitScene/) |
| 2025 | CVPR    | OmniSplat       | [OmniSplat: Taming Feed-Forward 3D Gaussian Splatting for Omnidirectional Images with Editable Capabilities](https://arxiv.org/abs/2412.16604) | [Code](https://robot0321.github.io/omnisplat/index.html) |
| 2025 | CVPR    | DaCapo       | [DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing](https://openaccess.thecvf.com/content/CVPR2025/html/Huang_DaCapo_Score_Distillation_as_Stacked_Bridge_for_Fast_and_High-quality_CVPR_2025_paper.html) | ❌ |
| 2025 | CVPR    | CTRL-D       | [CTRL-D: Controllable Dynamic 3D Scene Editing with Personalized 2D Diffusion](https://arxiv.org/abs/2412.01792) | [Code](https://ihe-kaii.github.io/CTRL-D/) |
| 2025 | CVPR    | InterGSEdit       | [InterGSEdit: Interactive 3D Gaussian Splatting Editing with 3D Geometry-Consistent Attention Prior](https://arxiv.org/abs/2507.04961) | ❌ |
| 2025 | CVPR | EditSplat | [EditSplat: Multi-View Fusion and Attention-Guided Optimization for View-Consistent 3D Scene Editing with 3D Gaussian Splatting](http://arxiv.org/abs/2412.11520) | [Code](https://kuai-lab.github.io/editsplat2024/) |
| 2025 | CVPR        | SGSST       | [SGSST: Scaling Gaussian Splatting StyleTransfer](https://arxiv.org/abs/2412.03371) | ❌ |
| 2025 | NeurIPS        | DFFSplat       | [Diffusion Feature Field for Text-based 3D Editing with Gaussian Splatting](https://neurips.cc/virtual/2025/poster/118619) | ❌ |
| 2025 | NeurIPS        | CLIPGaussian       | [CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting](https://neurips.cc/virtual/2025/poster/116356) | ❌ |
| 2025 | NeurIPS        | DEGauss       | [DEGauss: Defending Against Malicious 3D Editing for Gaussian Splatting](https://neurips.cc/virtual/2025/poster/118529) | ❌ |
| 2025 | NeurIPS | Pro3D-Editor | [Pro3D-Editor : A Progressive-Views Perspective for Consistent and Precise 3D Editing](https://arxiv.org/abs/2506.00512) | [Code](https://shuoyueli4519.github.io/Pro3D-Editor/) |
| 2025 | NeurIPS | Styl3R | [Styl3R: Instant 3D Stylized Reconstruction for Arbitrary Scenes and Styles](https://arxiv.org/abs/2505.21060) | [Code](https://github.com/WU-CVGL/Styl3R) |
| 2025 | ICMR        | ArtNVG       | [ArtNVG: Content-Style Separated Artistic Neighboring-View Gaussian Stylization](https://arxiv.org/abs/2412.18783) | ❌ |
| 2025 | ICME | ABC-GS | [ABC-GS: Alignment-Based Controllable Style Transfer for 3D Gaussian Splatting](https://arxiv.org/abs/2505.15208) | [Code](https://github.com/vpx-ecnu/ABC-GS) |
| 2025 | ICCV | RoMaP | [Robust 3D-Masked Part-level Editing in 3D Gaussian Splatting with Regularized Score Distillation Sampling](https://arxiv.org/abs/2507.11061) | [Code](https://janeyeon.github.io/romap/) |
| 2025 | ICCV | PAInpainter | [Perspective-aware 3D Gaussian Inpainting with Multi-view Consistency](https://arxiv.org/abs/2510.10993) | [Code](https://pa-inpainter.github.io/) |
| 2025 | ICCV | A<sup>3</sup>GS | [A<sup>3</sup>GS: Arbitrary Artistic Style into Arbitrary 3D Gaussian Splatting](https://openaccess.thecvf.com/content/ICCV2025/papers/Fang_A3GS_Arbitrary_Artistic_Style_into_Arbitrary_3D_Gaussian_Splatting_ICCV_2025_paper.pdf) | [Code](https://artgaussian.github.io/) |
| 2025 | ICLR | 3DGS-Drag | [3DGS-Drag: Dragging gaussians for intuitive point-based 3D editing](https://arxiv.org/pdf/2601.07963) | [Code](https://github.com/Dongjiahua/3DGS-Drag) |
| 2025 | TMM        | Trame       | [Trame: Trajectory-anchored multi-view editing for text-guided 3d gaussian splatting manipulation](https://arxiv.org/abs/2407.02034) | ❌ |
| 2025 | WACV        | -         | [Localized Gaussian Splatting Editing with Contextual Awareness](https://arxiv.org/abs/2408.00083) | ❌ |
| 2026 | CVPR   | REALM | [REALM: An MLLM-Agent Framework for Open World 3D Reasoning Segmentation and Editing on Gaussian Splatting](https://arxiv.org/abs/2510.16410) | [Code](https://changyueshi.github.io/REALM/) |
| 2026 | AAAI | GT²-GS | [GT²-GS: Geometry-aware Texture Transfer for Gaussian Splatting](https://arxiv.org/abs/2505.15208) | [Code](https://github.com/vpx-ecnu/GT2-GS) |
| 2026 | AAAI   | GPGS | [GPGS: Consistent 3D Object Removal via Geometry-Aware 3D Inpainting and Projected Image Refnement in 3D Gaussian Splatting](https://ojs.aaai.org/index.php/AAAI/article/view/37515)| [Code](https://github.com/yongjoon99/GPGS) |
| 2026 | AAAI   | GS-Checker | [GS-Checker: Tampering Localization for 3D Gaussian Splatting](https://ojs.aaai.org/index.php/AAAI/article/view/42455) | [Code](https://github.com/haolianghan/GS-Checker)|
| 2026 | AAAI   | FantasyStyle      | [FantasyStyle: Controllable Stylized Distillation for 3D Gaussian Splatting](https://arxiv.org/abs/2508.08136) | [Code](https://github.com/yangyt46/FantasyStyle) |
| 2026 | ICLR   | Stylos | [Stylos: Multi-View 3D Stylization with Single-Forward Gaussian Splatting](https://arxiv.org/abs/2509.26455)| [Code](https://github.com/HanzhouLiu/Stylos) |
| 2026 | ArXiv | DiffStyle3D | [DiffStyle3D: Consistent 3D Gaussian Stylization via Attention Optimization](https://arxiv.org/pdf/2601.19717) | ❌ |


## 🎨 Existing Methods for 3DGS Generation

Discusses generation methods that produce 3DGS representations from multimodal inputs like text and image.

| Year | Venue | Paper Abbr | Title | Project/Code |
|------|-------|---------|-------|---------|
| 2023 | ArXiv    | Luciddreamer     | [Luciddreamer: Domain-free generation of 3d gaussian splatting scenes](https://arxiv.org/abs/2311.13384) | [Code](https://github.com/luciddreamer-cvlab/LucidDreamer) |
| 2023 | ArXiv   | StableDreamer | [Stabledreamer: taming noisy score distillation sampling for text-to-3d](https://arxiv.org/abs/2312.02189) | ❌ |
| 2023 | ArXiv   | CG3D | [Cg3d: Compositional generation for text-to-3d via gaussian splatting](https://arxiv.org/abs/2311.17907) | [Code](https://asvilesov.github.io/CG3D/) |
| 2023 | ArXiv   | Text2Immersion | [Text2immersion: Generative immersive scene with 3d gaussians](https://arxiv.org/abs/2312.09242) | [Code](https://ken-ouyang.github.io/text2immersion/index.html) |
| 2023 | ICCV  | Text2Room | [Text2room: Extracting textured 3d meshes from 2d text-to-image models](http://openaccess.thecvf.com/content/ICCV2023/html/Hollein_Text2Room_Extracting_Textured_3D_Meshes_from_2D_Text-to-Image_Models_ICCV_2023_paper.html) | [Code](https://lukashoel.github.io/text-to-room/) |
| 2024 | ArXiv   | GaussianDreamerPro | [Gaussiandreamerpro: Text to manipulable 3d gaussians with highly enhanced quality](https://arxiv.org/abs/2406.18462) | [Code](https://arxiv.org/abs/2406.18462) |
| 2024 | ArXiv   | CompGS | [CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D Gaussians](https://arxiv.org/abs/2410.20723) | [Code](https://chongjiange.github.io/compgs.html) |
| 2024 | ArXiv   | GraphCanvas | [Graph Canvas for Controllable 3D Scene Generation](https://arxiv.org/abs/2412.00091) | [Code](https://github.com/ILGLJ/Graph-Canvas) |
| 2024 | ArXiv   | LayerPano3D | [Layerpano3d: Layered 3d panorama for hyper-immersive scene generation](https://arxiv.org/abs/2408.13252) | [Code](https://layerpano3d-web.github.io/) |
| 2024 | ArXiv   | SceneDreamer360 | [Scenedreamer360: Text-driven 3d-consistent scene generation with panoramic gaussian splatting](https://arxiv.org/abs/2408.13711) | [Code](https://github.com/liwrui/SceneDreamer360) |
| 2024 | ArXiv   | DreamerXL | [Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score Matching](https://arxiv.org/abs/2405.11252) | [Code](https://github.com/xingy038/Dreamer-XL) |
| 2024 | ArXiv   | MVGaussian | [MVGaussian: High-Fidelity text-to-3D Content Generation with Multi-View Guidance and Surface Densification](https://arxiv.org/abs/2409.06620) | [Code](https://mvgaussian.github.io/) |
| 2024 | ArXiv   | GradeADreamer | [GradeADreamer: Enhanced Text-to-3D Generation Using Gaussian Splatting and Multi-View Diffusion](https://arxiv.org/abs/2406.09850) | [Code](https://github.com/trapoom555/GradeADreamer) |
| 2024 | ArXiv    | PanoDreamer      | [PanoDreamer: 3D Panorama Synthesis from a Single Image](https://arxiv.org/abs/2412.04827) | [Code](https://people.engr.tamu.edu/nimak/Papers/PanoDreamer/index.html) |
| 2024 | ArXiv    | ScalingGaussian  | [ScalingGaussian: Enhancing 3D Content Creation with Generative Gaussian Splatting](https://arxiv.org/abs/2407.19035) | ❌ |
| 2024 | ArXiv    | Physics3D        | [Physics3d: Learning physical properties of 3d gaussians via video diffusion](https://arxiv.org/abs/2406.04338) | [Code](https://liuff19.github.io/Physics3D/) |
| 2024 | ArXiv    | -             | [Enhancing Single Image to 3D Generation using Gaussian Splatting and Hybrid Diffusion Priors](https://arxiv.org/abs/2410.09467) | ❌ |
| 2024 | ArXiv   | GECO             | [GECO: Generative Image-to-3D within a SECOnd](https://arxiv.org/abs/2405.20327) | [Code](https://cwchenwang.github.io/geco/) |
| 2024 | ArXiv    | DreamPhysics     | [Dreamphysics: Learning physical properties of dynamic 3d gaussians with video diffusion priors](https://arxiv.org/abs/2406.01476) | [Code](https://github.com/tyhuang0428/DreamPhysics) |
| 2024 | ArXiv    | GaussianPainter  | [GaussianPainter: Painting Point Cloud into 3D Gaussians with Normal Guidance](https://arxiv.org/abs/2412.17715) | [Code](https://github.com/zhou745/GaussianPainter) |
| 2024 | ArXiv    | Gaussianstego    | [Gaussianstego: A generalizable stenography pipeline for generative 3d gaussians splatting](https://arxiv.org/abs/2407.01301) | [Code](https://gaussian-stego.github.io/) |
| 2024 | ArXiv    | GeoGS3D          | [GeoGS3D: Single-view 3D Reconstruction via Geometric-aware Diffusion Model and Gaussian Splatting](https://arxiv.org/abs/2403.10242) | [Code](https://qjfeng.net/GeoGS3D/) |
| 2024 | ArXiv    | NovelGS          | [NovelGS: Consistent Novel-view Denoising via Large Gaussian Reconstruction Model](https://arxiv.org/abs/2411.16779) | ❌ |
| 2024 | ArXiv    | HoloDreamer         | [Holodreamer: Holistic 3d panoramic world generation from text descriptions](https://arxiv.org/abs/2407.15187) | ❌ |
| 2024 | ArXiv    | BrightDreamer       | [Brightdreamer: Generic 3d gaussian generative framework for fast text-to-3d synthesis](https://arxiv.org/abs/2403.11273) | [Code](https://vlislab22.github.io/BrightDreamer/) |
| 2024 | ArXiv    | Flex3D              | [Flex3d: Feed-forward 3d generation with flexible reconstruction model and input view curation](https://arxiv.org/abs/2410.00890) | [Code](https://junlinhan.github.io/projects/flex3d/) |
| 2024 | ArXiv    | -              | [Text-to-3D Gaussian Splatting with Physics-Grounded Motion Generation](https://arxiv.org/abs/2412.05560) | ❌ |
| 2024 | ArXiv   | DreamScape       | [DreamScape: 3D Scene Creation via Gaussian Splatting joint Correlation Modeling](https://arxiv.org/abs/2404.09227) | ❌ |
| 2024 | ArXiv   | DreamPolisher    | [Dreampolisher: Towards high-quality text-to-3d generation via geometric diffusion](https://arxiv.org/abs/2403.17237) | [Code](https://yuanze-lin.me/DreamPolisher_page/) |
| 2025 | CVPR    | Prometheus          | [Prometheus: 3D-Aware Latent Diffusion Models for Feed-Forward Text-to-3D Scene Generation](https://arxiv.org/abs/2412.21117) | [Code](https://github.com/XDimLab/Prometheus) |
| 2024 | ArXiv   | DreamMapping | [DreamMapping: High-Fidelity Text-to-3D Generation via Variational Distribution Mapping](https://arxiv.org/abs/2409.05099) | ❌ |
| 2024 | ICLR   | DreamGaussian | [Dreamgaussian: Generative gaussian splatting for efficient 3d content creation](https://arxiv.org/abs/2309.16653) | [Code](https://dreamgaussian.github.io/) |
| 2024 | CVPR  | GSGen | [Text-to-3d using gaussian splatting](http://openaccess.thecvf.com/content/CVPR2024/html/Chen_Text-to-3D_using_Gaussian_Splatting_CVPR_2024_paper.html) | [Code](https://github.com/gsgen3d/gsgen) |
| 2024 | CVPR  | GaussianDreamer | [Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models](http://openaccess.thecvf.com/content/CVPR2024/html/Yi_GaussianDreamer_Fast_Generation_from_Text_to_3D_Gaussians_by_Bridging_CVPR_2024_paper.html) | [Code](https://arxiv.org/abs/2406.18462) |
| 2024 | CVPR  | HumanGaussian | [Humangaussian: Text-driven 3d human generation with gaussian splatting](http://openaccess.thecvf.com/content/CVPR2024/html/Liu_HumanGaussian_Text-Driven_3D_Human_Generation_with_Gaussian_Splatting_CVPR_2024_paper.html) | [Code](https://alvinliu0.github.io/projects/HumanGaussian) |
| 2024 | CVPR  | LucidDreamer | [Luciddreamer: Towards high-fidelity text-to-3d generation via interval score matching](http://openaccess.thecvf.com/content/CVPR2024/html/Liang_LucidDreamer_Towards_High-Fidelity_Text-to-3D_Generation_via_Interval_Score_Matching_CVPR_2024_paper.html) | [Code](https://github.com/EnVision-Research/LucidDreamer) |
| 2024 | CVPR   | WonderJourney       | [Wonderjourney: Going from anywhere to everywhere](http://openaccess.thecvf.com/content/CVPR2024/html/Yu_WonderJourney_Going_from_Anywhere_to_Everywhere_CVPR_2024_paper.html) | [Code](https://kovenyu.com/wonderjourney/) |
| 2024 | CVPR   | Hash3D           | [Hash3d: Training-free acceleration for 3d generation](https://arxiv.org/abs/2404.06091) | [Code](https://adamdad.github.io/hash3D/) |
| 2024 | CVPR   | TriplaneGaussian | [Triplane meets gaussian splatting: Fast and generalizable single-view 3d reconstruction with transformers](http://openaccess.thecvf.com/content/CVPR2024/html/Zou_Triplane_Meets_Gaussian_Splatting_Fast_and_Generalizable_Single-View_3D_Reconstruction_CVPR_2024_paper.html) | [Code](https://zouzx.github.io/TriplaneGaussian/) |
| 2024 | CVPR    | Ouroboros3D      | [Ouroboros3d: Image-to-3d generation via 3d-aware recursive diffusion](https://arxiv.org/abs/2406.03184) | [Code](https://costwen.github.io/Ouroboros3D/) |
| 2024 | CVPR Workshop  | Art3D               | [Art3d: 3d gaussian splatting for text-guided artistic scenes generation](https://arxiv.org/abs/2405.10508) | ❌ |
| 2024 | ECCV  | GCS-BEG | [Connecting consistency distillation to score distillation for text-to-3d generation](https://link.springer.com/chapter/10.1007/978-3-031-72775-7_16) | [Code](https://github.com/LMozart/ECCV2024-GCS-BEG) |
| 2024 | ECCV  | DreamScene | [Dreamscene: 3d gaussian-based text-to-3d scene generation via formation pattern sampling](https://link.springer.com/chapter/10.1007/978-3-031-72904-1_13) | [Code](https://dreamscene-project.github.io/) |
| 2024 | ECCV   | DreamScene360       | [Dreamscene360: Unconstrained text-to-3d scene generation with panoramic gaussian splatting](https://link.springer.com/chapter/10.1007/978-3-031-72658-3_19) | [Code](https://dreamscene360.github.io/) |
| 2024 | ECCV   | VFusion3D           | [Vfusion3d: Learning scalable 3d generative models from video diffusion models](https://link.springer.com/chapter/10.1007/978-3-031-72627-9_19) | [Code](https://junlinhan.github.io/projects/vfusion3d.html) |
| 2024 | ECCV   | LGM              | [Lgm: Large multi-view gaussian model for high-resolution 3d content creation](https://link.springer.com/chapter/10.1007/978-3-031-73235-5_1) | [Code](https://me.kiui.moe/lgm/) |
| 2024 | ECCV   | GVGEN            | [Gvgen: Text-to-3d generation with volumetric representation](https://link.springer.com/chapter/10.1007/978-3-031-73242-3_26) | [Code](https://sotamak1r.github.io/gvgen/) |
| 2024 | ECCV   | FSGS             | [Fsgs: Real-time few-shot view synthesis using gaussian splatting](https://link.springer.com/chapter/10.1007/978-3-031-72933-1_9) | [Code](https://zehaozhu.github.io/FSGS/) |
| 2024 | ECCV    | GS-LRM           | [Gs-lrm: Large reconstruction model for 3d gaussian splatting](https://link.springer.com/chapter/10.1007/978-3-031-72670-5_1) | [Code](https://sai-bi.github.io/project/gs-lrm/) |
| 2024 | ECCV    | GRM              | [Grm: Large gaussian reconstruction model for efficient 3d reconstruction and generation](https://link.springer.com/content/pdf/10.1007/978-3-031-72633-0_1.pdf) | [Code](https://github.com/justimyhxu/grm) |
| 2024 | NeurIPS | Era3D            | [Era3d: high-resolution multiview diffusion using efficient row-wise attention](https://proceedings.neurips.cc/paper_files/paper/2024/hash/65a723bf7d8dad838c09178270d30e80-Abstract-Conference.html) | [Code](https://penghtyx.github.io/Era3D/) |
| 2024 | NeurIPS| Wild-GS          | [Wild-gs: Real-time novel view synthesis from unconstrained photo collections](https://proceedings.neurips.cc/paper_files/paper/2024/hash/bb11f79ad86f5e33e2a7c850cbdfed42-Abstract-Conference.html) | [Code](https://github.com/XuJiacong/Wild-GS) |
| 2024 | NeurIPS| ProlificDreamer  | [Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation](https://proceedings.neurips.cc/paper_files/paper/2023/hash/1a87980b9853e84dfb295855b425c262-Abstract-Conference.html) | [Code](https://ml.cs.tsinghua.edu.cn/prolificdreamer/) |
| 2024 | NeurIPS | DiffGS           | [Diffgs: Functional gaussian splatting diffusion](https://proceedings.neurips.cc/paper_files/paper/2024/hash/41fb2ecb5b7d1b505bca787de0a603dc-Abstract-Conference.html) | [Code](https://junshengzhou.github.io/DiffGS/) |
| 2024 | NeurIPS | HumanSplat       | [Humansplat: Generalizable single-image human gaussian splatting with structure priors](https://proceedings.neurips.cc/paper_files/paper/2024/hash/87affd2029375d1be123ccdab5334c55-Abstract-Conference.html) | [Code](https://humansplat.github.io/) |
| 2024 | NeurIPS    | MVSplat360       | [MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views](https://arxiv.org/abs/2411.04924) | [Code](https://donydchen.github.io/mvsplat360/) |
| 2024 | NeurIPS| GSGAN            | [GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats](https://proceedings.neurips.cc/paper_files/paper/2024/hash/7d90c28e7820709792d969211815a2b3-Abstract-Conference.html) | [Code](https://hse1032.github.io/gsgan) |
| 2024 | ACM MM | Sketch3D         | [Sketch3D: Style-Consistent Guidance for Sketch-to-3D Generation](https://dl.acm.org/doi/abs/10.1145/3664647.3680641) | ❌ |
| 2024 | ACM MM  | Hi3D             | [Hi3D: Pursuing High-Resolution Image-to-3D Generation with Video Diffusion Models](https://dl.acm.org/doi/abs/10.1145/3664647.3681634) | [Code](https://github.com/yanghb22-fdu/Hi3D-Official) |
| 2024 | ACM MM  | -              | [Large point-to-gaussian model for image-to-3d generation](https://dl.acm.org/doi/abs/10.1145/3664647.3680920) | ❌ |
| 2024 | ACM MM  | DreamInit        | [A general framework to boost 3d gs initialization for text-to-3d generation by lexical richness](https://dl.acm.org/doi/abs/10.1145/3664647.3680740) | [Code](https://vlislab22.github.io/DreamInit/) |
| 2024 | TMLR    | AGG              | [Agg: Amortized generative 3d gaussians for single image to 3d](https://arxiv.org/abs/2401.04099) | [Code](https://ir1d.github.io/AGG/) |
| 2024 | ICML  | GALA3D | [Gala3d: Towards text-to-3d complex scene generation via layout-guided generative gaussian splatting](https://arxiv.org/abs/2402.07207) | [Code](https://gala3d.github.io/) |
| 2024 | 3DV   | MVControl | [Controllable text-to-3D generation via surface-aligned Gaussian splatting](https://arxiv.org/abs/2403.09981) | [Code](https://lizhiqi49.github.io/MVControl/) |
| 2025 | 3DV    | Realmdreamer        | [Realmdreamer: Text-driven 3d scene generation with inpainting and depth diffusion](https://arxiv.org/abs/2404.07199) | [Code](https://realmdreamer.github.io/) |
| 2024 | IJCAI    | FastScene           | [Fastscene: Text-driven fast 3d indoor scene generation via panoramic gaussian splatting](https://arxiv.org/abs/2405.05768) | ❌ |
| 2024 | WACV   | GANFusion           | [GANFusion: Feed-Forward Text-to-3D with Diffusion in GAN Space](https://arxiv.org/abs/2412.16717) | [Code](https://ganfusion.github.io/) |
| 2024 | IJCV   | Hyper3DG         | [Hyper-3dg: Text-to-3d gaussian generation via hypergraph](https://link.springer.com/article/10.1007/s11263-024-02298-y) | [Code](https://github.com/yjhboy/Hyper3DG) |
| 2025 | ArXiv   | GaussianMotion | [GaussianMotion: End-to-End Learning of Animatable Gaussian Avatars with Pose Guidance from Text](https://arxiv.org/abs/2502.11642) | ❌ |
| 2025 | ArXiv   | GSV3D            | [GSV3D: Gaussian Splatting-based Geometric Distillation with Stable Video Diffusion for Single-Image 3D Object Generation](https://arxiv.org/abs/2503.06136) | ❌ |
| 2025 | ArXiv    | LAYOUTDREAMER    | [LAYOUTDREAMER: Physics-guided Layout for Text-to-3D Compositional Scene Generation](https://arxiv.org/abs/2502.01949) | ❌ |
| 2025 | ArXiv | TextSplat       | [TextSplat: Text-Guided Semantic Fusion for Generalizable Gaussian Splatting](https://arxiv.org/abs/2504.09588) | ❌ |
| 2025 | ArXiv   | ViewCrafter       | [ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis](https://arxiv.org/abs/2409.02048) | [Code](https://drexubery.github.io/ViewCrafter/) |
| 2025 | ICCV  | WAVE   | [WAVE: Warp-Based View Guidance for Consistent Novel View Synthesis Using a Single Image](https://arxiv.org/abs/2506.23518) | [Code](https://jwoo-park0.github.io/wave.github.io/) |
| 2025 | ArXiv   | Triflow             | [Taming Feed-forward Reconstruction Models as Latent Encoders for 3D Generative Models](https://arxiv.org/abs/2501.00651) | [Code](https://triflow.github.io/) |
| 2025 | AAAI    | Multi-StyleGS       | [Multi-StyleGS: Stylizing Gaussian Splatting with Multiple Styles](https://arxiv.org/abs/2506.06846) | [Code](https://github.com/SCUTykLin/Multi-StyleGS) |
| 2025 | AAAI    | Cycle3D          | [Cycle3d: High-quality and consistent image-to-3d generation via generation-reconstruction cycle](https://arxiv.org/abs/2407.19548) | [Code](https://pku-yuangroup.github.io/Cycle3D/) |
| 2025 | ICLR   | LayoutYour3D | [Layout-your-3D: Controllable and Precise 3D Generation with 2D Blueprint](https://arxiv.org/abs/2410.15391) | [Code](https://colezwhy.github.io/layoutyour3d/) |
| 2025 | ICLR    | Atlas Gaussians   | [Atlas Gaussians Diffusion for 3D Generation](https://arxiv.org/abs/2408.13055) | [Code](https://yanghtr.github.io/projects/atlas_gaussians/) |
| 2025 | ICLR   | GaussianAnything    | [GaussianAnything: Interactive Point Cloud Latent Diffusion for 3D Generation](https://arxiv.org/abs/2411.08033) | [Code](https://nirvanalan.github.io/projects/ga/) |
| 2025 | ICLR  | CogVideoX | [CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer](https://arxiv.org/abs/2408.06072) | [Code](https://github.com/zai-org/CogVideo) |
| 2025 | CVPR    | GaussianCity       | [Generative Gaussian Splatting for Unbounded 3D City Generation](https://arxiv.org/abs/2406.06526) | [Code](https://www.infinitescript.com/project/gaussian-city) |
| 2025 | CVPR    | WonderWorld       | [WonderWorld: Interactive 3D Scene Generation from a Single Image](https://arxiv.org/abs/2406.09394) | [Code](https://kovenyu.com/wonderworld/) |
| 2025 | CVPR    | SelfSplat       | [SelfSplat: Pose-Free and 3D Prior-Free Generalizable 3D Gaussian Splatting](https://arxiv.org/abs/2411.17190) | [Code](https://gynjn.github.io/selfsplat/) |
| 2025 | CVPR    | Wonderland       | [Wonderland: Navigating 3D Scenes from a Single Image](https://arxiv.org/abs/2412.12091) | [Code](https://snap-research.github.io/wonderland/) |
| 2025 | CVPR    | Morpheus       | [Morpheus: Text-Driven 3D Gaussian Splat Shape and Color Stylization](https://arxiv.org/abs/2503.02009) | [Code](https://nianticlabs.github.io/morpheus/) |
| 2025 | CVPR    | -      | [Taming Video Diffusion Prior with Scene-Grounding Guidance for 3D Gaussian Splatting from Sparse Inputs](https://arxiv.org/abs/2503.05082) | [Code](https://zhongyingji.github.io/guidevd-3dgs/) |
| 2025 | CVPR    | Scene4U       | [Scene4U: Hierarchical Layered 3D Scene Reconstruction from Single Panoramic Image for Your Immerse Exploration](https://arxiv.org/abs/2504.00387) | [Code](https://github.com/LongHZ140516/Scene4U) |
| 2025 | CVPR    | VideoScene       | [VideoScene: Distilling Video Diffusion Model to Generate 3D Scenes in One Step](https://arxiv.org/abs/2504.01956) | [Code](https://hanyang-21.github.io/VideoScene/) |
| 2025 | CVPR    | Scene Splatter       |[Scene Splatter: Momentum 3D Scene Generation from Single Image with Video Diffusion Model](https://arxiv.org/abs/2504.02764) | [Code](https://shengjun-zhang.github.io/SceneSplatter/) |
| 2025 | CVPR    | HCoG       | [Apply Hierarchical-Chain-of-Generation to Complex Attributes Text-to-3D Generation](https://arxiv.org/abs/2505.05505) | [Code](https://hierarchical-chain-of-generation.github.io/) |
| 2025 | CVPR    | pixelSplat       | [pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction](https://arxiv.org/abs/2312.12337) | [Code](https://davidcharatan.com/pixelsplat/) |
| 2025 | CVPR    | Splatter-360       | [Splatter-360: Generalizable 360^{\circ} Gaussian Splatting for Wide-baseline Panoramic Images](https://arxiv.org/abs/2412.06250) | [Code](https://3d-aigc.github.io/Splatter-360/) |
| 2025 | CVPR   | Turbo3D             | [Turbo3D: Ultra-fast Text-to-3D Generation](https://arxiv.org/abs/2412.04470) | [Code](https://turbo-3d.github.io/) |
| 2025 | ICCV    | DiffusionGS      | [Baking gaussian splatting into diffusion denoiser for fast and scalable single-stage image-to-3d generation](https://arxiv.org/abs/2411.14384) | [Code](https://caiyuanhao1998.github.io/project/DiffusionGS/) |
| 2025 | ICCV    | VistaDream       | [VistaDream: Sampling multiview consistent images for single-view scene reconstruction](https://arxiv.org/abs/2410.16892) | [Code](https://github.com/WHU-USI3DV/VistaDream) |
| 2025 | ICCV    | Tune-Your-Style       | [Tune-Your-Style: Intensity-tunable 3D Style Transfer with Gaussian Splatting](https://iccv.thecvf.com/virtual/2025/poster/2554) | [Code](https://zhao-yian.github.io/Tune-Your-Style/) |
| 2025 | ICCV    | UniGS       | [UniGS: Modeling Unitary 3D Gaussians for Novel View Synthesis from Sparse-view Images](https://arxiv.org/abs/2410.13195) | [Code](https://github.com/jwubz123/UNIG) |
| 2025 | ICCV    | CATSplat       | [CATSplat: Context-Aware Transformer with Spatial Guidance for Generalizable 3D Gaussian Splatting from A Single-View Image](https://arxiv.org/abs/2412.12906) | [Code](https://kuai-lab.github.io/catsplat2025/) |
| 2025 | ICCV    | GGS      | [Generative Gaussian Splatting: Generating 3D Scenes with Video Diffusion Priors](https://arxiv.org/abs/2503.13272#:~:text=In%20this%20work%2C%20we%20present%20Generative%20Gaussian%20Splatting,representation%20with%20a%20pre-trained%20latent%20video%20diffusion%20model.) | [Code](https://katjaschwarz.github.io/ggs/) |
| 2025 | ICCV    | VideoRFSplat       | [VideoRFSplat: Direct Scene-Level Text-to-3D Gaussian Splatting Generation with Flexible Pose and Multi-View Joint Modeling](https://arxiv.org/abs/2503.15855) | [Code](https://gohyojun15.github.io/VideoRFSplat/) |
| 2025 | ICCV    | SPFSplat       | [No Pose at All: Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views](https://arxiv.org/abs/2508.01171) | [Code](https://ranrhuang.github.io/spfsplat/) |
| 2025 | NeurIPS | TRIM | [TRIM: Scalable 3D Gaussian Diffusion Inference with Temporal and Spatial Trimming](https://arxiv.org/abs/2511.16642) | [Code](https://github.com/zeyuanyin/TRIM) |
| 2025 | ArXiv | SAM 3D | [Sam 3d: 3dfy anything in images](https://arxiv.org/abs/2511.16624) | [Code](https://github.com/facebookresearch/sam-3d-objects) |
| 2025 | NeurIPS | TraCe | [Walking the Schrödinger Bridge: A Direct Trajectory for Text-to-3D Generation](https://arxiv.org/pdf/2511.05609) | [Code](https://github.com/emmaleee789/TraCe) |
| 2026 | ICLR | FlashWorld | [FlashWorld: High-quality 3D Scene Generation within Seconds](https://arxiv.org/abs/2510.13678) | [Code](https://imlixinyang.github.io/FlashWorld-Project-Page/) |

## 🎖Other Application Tasks

### Human Avatar

| Year | Venue | Paper Abbr | Title | Project/Code |
|------|-------|---------|-------|---------|
|2024|CVPR|GauHuman|[GauHuman: Articulated Gaussian Splatting from Monocular Human Videos](https://arxiv.org/abs/2312.02973)|[Code](https://github.com/skhu101/GauHuman)|
|2024|CVPR|HiFi4G|[HiFi4G: High-Fidelity Human Performance Rendering via Compact Gaussian Splatting](https://arxiv.org/abs/2312.03461)|[Code](https://nowheretrix.github.io/HiFi4G/)|
|2024|CVPR|Animatable Gaussians|[Animatable Gaussians: Learning Pose-dependent Gaussian Maps for High-fidelity Human Avatar Modeling](https://arxiv.org/abs/2311.16096)|[Code](https://animatable-gaussians.github.io/)|
|2024|CVPR|HUGS|[HUGS: Human Gaussian Splats](https://arxiv.org/abs/2311.17910)|[Code](https://github.com/apple/ml-hugs)|
|2024|CVPR|GaussianAvatars|[GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians](https://arxiv.org/abs/2312.02069)|[Code](https://shenhanqian.github.io/gaussian-avatars)|
|2024|CVPR|GSM|[Gaussian Shell Maps for Efficient 3D Human Generation](https://arxiv.org/abs/2311.17857)|[Code](https://rameenabdal.github.io/GaussianShellMaps/)|
|2024|CVPR|HHAvatar|[HHAvatar: Gaussian Head Avatar with Dynamic Hairs](https://arxiv.org/abs/2312.03029)|[Code](https://liaozhanfeng.github.io/HHAvatar/)|
|2024|ECCV| FlashAvatar|[FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally](https://arxiv.org/abs/2409.08270) |[Code](https://github.com/florinshen/FlashSplat)|
|2024|ACM MM|GGAvatar|[GGAvatar: Reconstructing Garment-Separated 3D Gaussian Splatting Avatars from Monocular Video](https://arxiv.org/abs/2411.09952)|[Code](https://github.com/J-X-Chen/GGAvatar/)|
|2025|CVPR|TaoAvatar|[TaoAvatar: Real-Time Lifelike Full-Body Talking Avatars for Augmented Reality via 3D Gaussian Splatting](https://arxiv.org/abs/2503.17032)|[Code](https://pixelai-team.github.io/TaoAvatar/)|
|2025|CVPR|HRAvatar| [HRAvatar: High-Quality and Relightable Gaussian Head Avatar](https://arxiv.org/abs/2503.08224) |[Code](https://eastbeanzhang.github.io/HRAvatar/)|
|2025|CVPR|GPAvatar| [GPAvatar: High-fidelity Head Avatars by Learning Efficient Gaussian Projections](https://openaccess.thecvf.com/content/CVPR2025/html/Feng_GPAvatar_High-fidelity_Head_Avatars_by_Learning_Efficient_Gaussian_Projections_CVPR_2025_paper.html)|❌|
|2025|ICCV|StrandHead| [StrandHead: Text to Hair-Disentangled 3D Head Avatars Using Human-Centric Priors](https://arxiv.org/abs/2412.11586) |[Code](https://xiaokunsun.github.io/StrandHead.github.io/)|
|2025|NeurIPS|CGS-GAN|[CGS-GAN: 3D Consistent Gaussian Splatting GANs for High Resolution Human Head Synthesis](https://arxiv.org/abs/2505.17590)|[Code](https://fraunhoferhhi.github.io/cgs-gan/)|
|2025|3DV|D3GA| [Drivable 3D Gaussian Avatars](https://arxiv.org/abs/2311.08581)|[Code](https://zielon.github.io/d3ga/)|

### SLAM

| Year | Venue | Paper Abbr | Title | Project/Code |
|------|-------|---------|-------|---------|
|2024|CVPR|GS-SLAM|[GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting](https://arxiv.org/abs/2311.11700)|[Code](https://gs-slam.github.io/)|
|2024|CVPR|SplaTAM|[SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM](https://arxiv.org/abs/2312.02126)|[Code](https://spla-tam.github.io/)|
|2024|CVPR|Photo-SLAM|[Photo-SLAM: Real-time Simultaneous Localization and Photorealistic Mapping for Monocular, Stereo, and RGB-D Cameras](https://arxiv.org/abs/2311.16728)|[Code](https://huajianup.github.io/research/Photo-SLAM/)|
|2024|CVPR|-|[Gaussian Splatting SLAM](https://arxiv.org/abs/2312.06741)|[Code](https://rmurai.co.uk/projects/GaussianSplattingSLAM/)|
|2024|ECCV|SGS-SLAM|[SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAM](https://arxiv.org/abs/2402.03246)|❌|
|2024|ACM MM|GS3LAM|[GS3LAM: Gaussian Semantic Splatting SLAM](https://dl.acm.org/doi/abs/10.1145/3664647.3680739)|[Code](https://github.com/lif314/GS3LAM)|
|2024|IROS|LEGS|[Language-Embedded Gaussian Splats (LEGS): Incrementally Building Room-Scale Representations with a Mobile Robot](https://arxiv.org/abs/2409.18108)|[Code](https://berkeleyautomation.github.io/LEGS/)|
|2025|CVPR|OpenGS-SLAM|[OpenGS-SLAM: Open-Set Dense Semantic SLAM with 3D Gaussian Splatting for Object-Level Scene Understanding](https://arxiv.org/abs/2503.01646)|[Code](https://young-bit.github.io/opengs-github.github.io/)|
|2025|CVPR|WildGS-SLAM|[WildGS-SLAM: Monocular Gaussian Splatting SLAM in Dynamic Environments](https://arxiv.org/abs/2504.03886)|[Code](https://wildgs-slam.github.io/)|
|2025|ICCV|DynaGSLAM|[DynaGSLAM: Real-Time Gaussian-Splatting SLAM for Online Rendering, Tracking, Motion Predictions of Moving Objects in Dynamic Scenes](https://arxiv.org/abs/2503.11979) |❌|
|2025|ICCV|S3PO-GS|[Outdoor Monocular SLAM with Global Scale-Consistent 3D Gaussian Pointmaps](https://arxiv.org/abs/2507.03737) |[Code](https://3dagentworld.github.io/S3PO-GS/)|
|2025|ICCV|SEGS-SLAM|[SEGS-SLAM: Structure-enhanced 3D Gaussian Splatting SLAM with Appearance Embedding](https://arxiv.org/abs/2501.05242v3)|[Code](https://segs-slam.github.io/)|

### 3DGS Detection

| Year | Venue | Paper Abbr | Title | Project/Code |
|------|-------|---------|-------|---------|
|2024|ArXiv|3DGS-DET|[3DGS-DET: Empower 3D Gaussian Splatting with Boundary Guidance and Box-Focused Sampling for 3D Object Detection](https://arxiv.org/abs/2410.01647) |[Code](https://github.com/yangcaoai/3DGS-DET)|
|2024|ICLR|Gaussian-Det|[Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection](https://arxiv.org/abs/2410.01404) |❌|
|2025|NeurIPS|-|[3D Gaussian Splatting based Scene-independent Relocalization with Unidirectional and Bidirectional Feature Fusion](https://neurips.cc/virtual/2025/poster/116876) |❌|
|2025|ACM MM|SpatialReasoner|[A Neural Representation Framework with LLM-Driven Spatial Reasoning for Open-Vocabulary 3D Visual Grounding](https://arxiv.org/abs/2507.06719) |[Code](https://zhenyangliu.github.io/SpatialReasoner/)|
|2025|IROS|MATT-GS|[MATT-GS: Masked Attention-based 3DGS for Robot Perception and Object Detection](https://arxiv.org/abs/2503.19330) |❌|
|2025|CVPR|ReasonGrounder|[ReasonGrounder: LVLM-Guided Hierarchical Feature Splatting for Open-Vocabulary 3D Visual Grounding and Reasoning](https://arxiv.org/abs/2503.23297) |[Code](https://zhenyangliu.github.io/ReasonGrounder/)|
|2025|ArXiv|GVR|[Zero-shot Visual Grounding in 3D Gaussians via View Retrieval](https://arxiv.org/abs/2509.15871)|[Code](https://github.com/leviome/GVR_demos)|

## ⛳ Related Survey

[A Survey on 3D Gaussian Splatting](https://arxiv.org/abs/2401.03890)

[3D Gaussian Splatting as a New Era: A Survey](https://arxiv.org/abs/2402.07181)

[Recent Advances in 3D Gaussian Splatting](https://arxiv.org/abs/2403.11134)

[Gaussian Splatting: 3D Reconstruction and Novel View Synthesis, a Review](https://arxiv.org/abs/2405.03417)

[3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities](https://arxiv.org/abs/2407.17418)

[3DGS.zip: A survey on 3D Gaussian Splatting Compression Methods](https://arxiv.org/abs/2407.09510)

[3D Gaussian Splatting in Robotics: A Survey](https://arxiv.org/abs/2410.12262)

[Compression in 3D Gaussian Splatting: A Survey of Methods, Trends, and Future Directions](https://arxiv.org/abs/2502.19457)



## 📢 Citation

If you find this survey helpful, please consider citing it in your work. Thank you for your support!

```
@article{he2026survey,
  title={A Survey on 3D Gaussian Splatting in Segmentation, Editing and Generation},
  author={He, Shuting and Ji, Peilin and Yang, Yitong and Wang, Changshuo and Ji, Jiayi and Wang, Yinglin and Ding, Henghui},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2026},
  publisher={IEEE}
}
```