├── assets
    ├── emd.png
    ├── sgd.png
    ├── dhgs.png
    ├── drone.png
    ├── ggrt.png
    ├── gspr.png
    ├── ho-gs.png
    ├── hugs1.png
    ├── hugs2.png
    ├── pvg1.png
    ├── pvg2.png
    ├── citygs1.png
    ├── citygs2.png
    ├── desiregs.png
    ├── hugsim.png
    ├── omnire.png
    ├── splatad.png
    ├── tclc-gs.png
    ├── vastgs1.png
    ├── vastgs2.png
    ├── hgsmapping.png
    ├── horizongs.png
    ├── s3gaussian.png
    ├── splatflow.png
    ├── extrapolated.png
    ├── gaussianbev.png
    ├── gaussiancity.png
    ├── gaussianpro.png
    ├── gaussianpro1.png
    ├── magicdrive3d.png
    ├── streetsurfgs.png
    ├── drivingforward.png
    ├── gaussiandriving.png
    ├── gaussianformer.png
    ├── streetgaussian.png
    └── streetunveiler.png
└── README.md


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/README.md:
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  1 | 
  2 | 3D Gaussian Splatting Papers Relating to Large-Scale Scene
  3 | 
  4 | 
  5 | - [Scene](#3d-gaussian-splatting-papers-relating-to-large-scale-scene)
  6 |   - [Street](#Street)
  7 |   - [City](#City)
  8 | - [Codebase](#codebase)
  9 | 
 10 | 
 11 | ## Street
 12 | 
 13 | 
 14 | ### 2024
 15 | 
 16 | DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes
 17 | 
 18 | [[paper]](https://arxiv.org/abs/2411.11921)  [[code]](https://github.com/chengweialan/DeSiRe-GS) [[project page]]
 19 | 
 20 | <details>
 21 | <summary>method</summary>
 22 | <div class="image-container">
 23 |   <img src="assets/desiregs.png" width="100%">
 24 | </div>
 25 | </details>
 26 | 
 27 | ---
 28 | 
 29 | Drone-assisted Road Gaussian Splatting with Cross-view Uncertainty
 30 | 
 31 | [[paper]](https://arxiv.org/abs/2408.15242)  [[code]](https://github.com/SainingZhang/uc-gs/) [[project page]](https://sainingzhang.github.io/project/uc-gs/)
 32 | 
 33 | <details>
 34 | <summary>method</summary>
 35 | <div class="image-container">
 36 |   <img src="assets/drone.png" width="100%">
 37 | </div>
 38 | </details>
 39 | 
 40 | ---
 41 | 
 42 | 3D StreetUnveiler with Semantic-Aware 2DGS
 43 | 
 44 | [[paper]](https://arxiv.org/abs/2405.18416)  [[code(not yet)]](https://github.com/DavidXu-JJ/StreetUnveiler) [[project page]](https://streetunveiler.github.io/)
 45 | 
 46 | <details>
 47 | <summary>method</summary>
 48 | <div class="image-container">
 49 |   <img src="assets/streetunveiler.png" width="100%">
 50 | </div>
 51 | </details>
 52 | 
 53 | ---
 54 | 
 55 | StreetSurfGS: Scalable Urban Street Surface Reconstruction with Planar-based Gaussian Splatting
 56 | 
 57 | [[paper]](https://arxiv.org/abs/2410.04354)  [[code]] [[project page]]
 58 | 
 59 | <details>
 60 | <summary>method</summary>
 61 | <div class="image-container">
 62 |   <img src="assets/streetsurfgs.png" width="100%">
 63 | </div>
 64 | </details>
 65 | 
 66 | 
 67 | ---
 68 | 
 69 | Extrapolated Urban View Synthesis Benchmark
 70 | 
 71 | [[paper]](https://arxiv.org/abs/2412.05256)  [[code]](https://github.com/ai4ce/EUVS-Benchmark/) [[project page]](https://ai4ce.github.io/EUVS-Benchmark/)
 72 | 
 73 | <details>
 74 | <summary>method</summary>
 75 | <div class="image-container">
 76 |   <img src="assets/extrapolated.png" width="100%">
 77 | </div>
 78 | </details>
 79 | 
 80 | ---
 81 | 
 82 | EMD: Explicit Motion Modeling for High-Quality Street Gaussian Splatting
 83 | 
 84 | [[paper]](https://arxiv.org/abs/2411.15582)  [code(comming soon)] [[project page]](https://qingpowuwu.github.io/emdgaussian.github.io/)
 85 | 
 86 | <details>
 87 | <summary>method</summary>
 88 | <div class="image-container">
 89 |   <img src="assets/emd.png" width="100%">
 90 | </div>
 91 | </details>
 92 | 
 93 | ---
 94 | 
 95 | SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving
 96 | 
 97 | [[paper]](https://arxiv.org/abs/2411.16816)  [code] [[project page]](https://research.zenseact.com/publications/splatad/)
 98 | 
 99 | <details>
100 | <summary>method</summary>
101 | <div class="image-container">
102 |   <img src="assets/splatad.png" width="100%">
103 | </div>
104 | </details>
105 | 
106 | ---
107 | 
108 | GSPR: Multimodal Place Recognition Using 3D Gaussian Splatting for Autonomous Driving
109 | 
110 | [[paper]](https://arxiv.org/abs/2410.00299)  [[code(not yet)]](https://github.com/QiZS-BIT/GSPR) [project page]
111 | 
112 | <details>
113 | <summary>method</summary>
114 | <div class="image-container">
115 |   <img src="assets/gspr.png" width="100%">
116 | </div>
117 | </details>
118 | 
119 | ---
120 | 
121 | DrivingForward: Feed-forward 3D Gaussian Splatting for Driving Scene Reconstruction from Flexible Surround-view Input
122 | 
123 | [[paper]](https://arxiv.org/abs/2409.12753)  [[code]](https://github.com/fangzhou2000/DrivingForward) [[project page]](https://fangzhou2000.github.io/projects/drivingforward/)
124 | 
125 | <details>
126 | <summary>method</summary>
127 | <div class="image-container">
128 |   <img src="assets/drivingforward.png" width="100%">
129 | </div>
130 | </details>
131 | 
132 | ---
133 | 
134 | GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation[WACV2025]
135 | 
136 | [[paper]](https://arxiv.org/abs/2407.14108)  [code] [project page]
137 | 
138 | <details>
139 | <summary>method</summary>
140 | <div class="image-container">
141 |   <img src="assets/gaussianbev.png" width="100%">
142 | </div>
143 | </details>
144 | 
145 | ---
146 | 
147 | GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction[ECCV2024]
148 | 
149 | [[paper]](https://arxiv.org/abs/2405.17429)  [[code]](https://github.com/huang-yh/GaussianFormer) [project page]
150 | 
151 | <details>
152 | <summary>method</summary>
153 | <div class="image-container">
154 |   <img src="assets/gaussianformer.png" width="100%">
155 | </div>
156 | </details>
157 | 
158 | ---
159 | 
160 | MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes
161 | 
162 | [[paper]](https://arxiv.org/abs/2405.14475)  [[code]](https://github.com/flymin/MagicDrive3D) [[project page]](https://gaoruiyuan.com/magicdrive3d/)
163 | 
164 | <details>
165 | <summary>method</summary>
166 | <div class="image-container">
167 |   <img src="assets/magicdrive3d.png" width="100%">
168 | </div>
169 | </details>
170 | 
171 | ---
172 | 
173 | HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Driving
174 | 
175 | [[paper]](https://arxiv.org/abs/2412.01718)  [[code]](https://github.com/hyzhou404/HUGSIM) [[project page]](https://xdimlab.github.io/HUGSIM)
176 | 
177 | <details>
178 | <summary>method</summary>
179 | <div class="image-container">
180 |   <img src="assets/hugsim.png" width="100%">
181 | </div>
182 | </details>
183 | 
184 | ----
185 | 
186 | SplatFlow: Self-Supervised Dynamic Gaussian Splatting in Neural Motion Flow Field for Autonomous Driving
187 | 
188 | [[paper]](https://arxiv.org/abs/2411.15482)  [code] [project page]
189 | 
190 | <details>
191 | <summary>method</summary>
192 | <div class="image-container">
193 |   <img src="assets/splatflow.png" width="100%">
194 | </div>
195 | </details>
196 | 
197 | ---
198 | 
199 | OmniRe: Omni Urban Scene Reconstruction
200 | 
201 | [[paper]](https://arxiv.org/abs/2408.16760)  [[code]](https://github.com/ziyc/drivestudio) [[project page]](https://ziyc.github.io/omnire/)
202 | 
203 | <details>
204 | <summary>method</summary>
205 | <div class="image-container">
206 |   <img src="assets/omnire.png" width="100%">
207 | </div>
208 | </details>
209 | 
210 | ---
211 | 
212 | DHGS: Decoupled Hybrid Gaussian Splatting for Driving Scene
213 | 
214 | [[paper]](https://arxiv.org/abs/2407.16600)  [code] [[project page]](https://ironbrotherstyle.github.io/dhgs_web/)
215 | 
216 | <details>
217 | <summary>method</summary>
218 | <div class="image-container">
219 |   <img src="assets/dhgs.png" width="100%">
220 | </div>
221 | </details>
222 | 
223 | ---
224 | 
225 | S3Gaussian: Self-Supervised Street Gaussians for Autonomous Driving
226 | 
227 | [[paper]](https://arxiv.org/abs/2405.20323)  [[code]](https://github.com/nnanhuang/S3Gaussian/) [[project page]](https://wzzheng.net/S3Gaussian)
228 | 
229 | <details>
230 | <summary>method</summary>
231 | <div class="image-container">
232 |   <img src="assets/s3gaussian.png" width="100%">
233 | </div>
234 | </details>
235 | 
236 | 
237 | ---
238 | 
239 | GGRt: Towards Pose-free Generalizable 3D Gaussian Splatting in Real-time[ECCV2024]
240 | 
241 | [[paper]](https://arxiv.org/abs/2403.10147)  [[code]](https://github.com/lifuguan/GGRt_official) [[project page]](https://3d-aigc.github.io/GGRt/)
242 | 
243 | <details>
244 | <summary>method</summary>
245 | <div class="image-container">
246 |   <img src="assets/ggrt.png" width="100%">
247 | </div>
248 | </details>
249 | 
250 | ---
251 | 
252 | DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes
253 | 
254 | [[paper]](https://arxiv.org/pdf/2312.07920.pdf)  [code] [[project page]](https://pkuvdig.github.io/DrivingGaussian/)
255 | 
256 | <details>
257 | <summary>method</summary>
258 | <div class="image-container">
259 |   <img src="assets/gaussiandriving.png" width="100%">
260 | </div>
261 | </details>
262 | 
263 | ---
264 | 
265 | Street Gaussians for Modeling Dynamic Urban Scenes
266 | 
267 | [[paper]](https://arxiv.org/pdf/2401.01339.pdf)  [code] [[project page]](https://zju3dv.github.io/street_gaussians/)
268 | 
269 | <details>
270 | <summary>method</summary>
271 | <div class="image-container">
272 |   <img src="assets/streetgaussian.png" width="100%">
273 | </div>
274 | </details>
275 | 
276 | ---
277 | 
278 | GaussianPro: 3D Gaussian Splatting with Progressive Propagation
279 | 
280 | [[paper]](https://arxiv.org/abs/2402.14650)  [[code]](https://github.com/kcheng1021/GaussianPro) [[project page]](https://kcheng1021.github.io/gaussianpro.github.io/)
281 | 
282 | <details>
283 | <summary>method</summary>
284 | <div class="image-container">
285 |   <img src="assets/gaussianpro.png" width="100%">
286 |   <img src="assets/gaussianpro1.png" width="100%">
287 | </div>
288 | </details>
289 | 
290 | ---
291 | Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering
292 | 
293 | [[paper]](https://arxiv.org/abs/2311.18561)  [[code]](https://github.com/fudan-zvg/PVG) [[project page]](https://fudan-zvg.github.io/PVG)
294 | 
295 | <details>
296 | <summary>method</summary>
297 | <div class="image-container">
298 |   <img src="assets/pvg1.png" width="100%">
299 |   <img src="assets/pvg2.png" width="100%">
300 | </div>
301 | </details>
302 | 
303 | ---
304 | HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting
305 | 
306 | [[paper]](https://arxiv.org/abs/2403.12722)  [[code(coming soon)]] [[project page]](https://xdimlab.github.io/hugs_website/)
307 | 
308 | <details>
309 | <summary>method</summary>
310 | <div class="image-container">
311 |   <img src="assets/hugs1.png" width="100%">
312 |   <img src="assets/hugs2.png" width="100%">
313 | </div>
314 | </details>
315 | 
316 | ---
317 | HO-Gaussian: Hybrid Optimization of 3D Gaussian Splatting for Urban Scenes
318 | 
319 | [[paper]](https://arxiv.org/abs/2403.20032)
320 | 
321 | <details>
322 | <summary>method</summary>
323 | <div class="image-container">
324 |   <img src="assets/ho-gs.png" width="100%">
325 | </div>
326 | </details>
327 | 
328 | ---
329 | HGS-Mapping: Online Dense Mapping Using Hybrid Gaussian Representation in Urban Scenes
330 | 
331 | [[paper]](https://arxiv.org/abs/2403.20159)
332 | 
333 | <details>
334 | <summary>method</summary>
335 | <div class="image-container">
336 |   <img src="assets/hgsmapping.png" width="100%">
337 | </div>
338 | </details>
339 | 
340 | ---
341 | SGD: Street View Synthesis with Gaussian Splatting and Diffusion Prior
342 | 
343 | [[paper]](https://arxiv.org/abs/2403.20079)
344 | 
345 | <details>
346 | <summary>method</summary>
347 | <div class="image-container">
348 |   <img src="assets/sgd.png" width="100%">
349 | </div>
350 | </details>
351 | 
352 | ---
353 | TCLC-GS: Tightly Coupled LiDAR-Camera
354 | Gaussian Splatting for Surrounding Autonomous
355 | Driving Scenes
356 | 
357 | [[paper]](https://arxiv.org/abs/2404.02410)
358 | 
359 | <details>
360 | <summary>method</summary>
361 | <div class="image-container">
362 |   <img src="assets/tclc-gs.png" width="100%">
363 | </div>
364 | </details>
365 | 
366 | ---
367 | 
368 | ## City
369 | 
370 | GaussianCity: Generative Gaussian Splatting for Unbounded 3D City Generation
371 | 
372 | [[paper]](https://arxiv.org/abs/2406.06526)  [[code]](https://github.com/hzxie/GaussianCity) [[project page]](https://haozhexie.com/project/gaussian-city)
373 | 
374 | <details>
375 | <summary>method</summary>
376 | <div class="image-container">
377 |   <img src="assets/gaussiancity.png" width="100%">
378 | </div>
379 | </details>
380 | 
381 | ---
382 | 
383 | Horizon-GS: Unified 3D Gaussian Splatting for Large-Scale Aerial-to-Ground Scenes
384 | 
385 | [[paper]](https://arxiv.org/abs/2412.01745)  [[code]] [[project page]](https://city-super.github.io/horizon-gs/)
386 | 
387 | <details>
388 | <summary>method</summary>
389 | <div class="image-container">
390 |   <img src="assets/horizongs.png" width="100%">
391 | </div>
392 | </details>
393 | 
394 | ---
395 | 
396 | VastGaussian: Vast 3D Gaussians for Large Scene Reconstruction
397 | 
398 | [[paper]](https://arxiv.org/abs/2402.17427)  [code(soon)] [[project page]](https://vastgaussian.github.io/)
399 | 
400 | <details>
401 | <summary>method</summary>
402 | <div class="image-container">
403 |   <img src="assets/vastgs1.png" width="100%">
404 |   <img src="assets/vastgs2.png" width="100%">
405 | </div>
406 | </details>
407 | 
408 | ---
409 | CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians
410 | 
411 | [[paper]](https://arxiv.org/abs/2404.01133)  [code(soon)] [[project page]](https://dekuliutesla.github.io/citygs/)
412 | 
413 | <details>
414 | <summary>method</summary>
415 | <div class="image-container">
416 |   <img src="assets/citygs1.png" width="100%">
417 |   <img src="assets/citygs2.png" width="100%">
418 | </div>
419 | </details>
420 | 
421 | ---
422 | 
423 | # Survey
424 | 3D Gaussian as a New Vision Era: A Survey
425 | 
426 | [paper](https://arxiv.org/abs/2402.07181)
427 | 
428 | ---
429 | Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities
430 | 
431 | [paper](https://arxiv.org/abs/2401.08045)
432 | 
433 | # Codebase
434 | 
435 | [3dgs](https://github.com/graphdeco-inria/gaussian-splatting)
436 | 
437 | [GauStudio: A Modular Framework for 3D Gaussian Splatting and Beyond](https://github.com/GAP-LAB-CUHK-SZ/gaustudio
438 | )
439 | 
440 | # Other
441 | 
442 | [awesome-3d-gaussian-splatting](https://github.com/MrNeRF/awesome-3D-gaussian-splatting)
443 | 
444 | 


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