View Synthesis on UrbanScene3D Sci-Art
26.51PSNRSwitch-NeRF
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Switch-NeRFGeometric Optimization=without2026.02 | 26.51 | 0.795 | 0.271 | |
| Mega-NeRFTraining Time=27:392021.12 | 25.6 | 0.77 | 0.39 | |
| Mega-NeRFGeometric Optimization=without2026.02 | 25.6 | 0.77 | 0.312 | |
| DoGaussianGeometric Optimization=without2026.02 | 24.42 | 0.804 | 0.219 | |
| 3DGSGeometric Optimization=without2026.02 | 24.13 | 0.791 | 0.262 | |
| OctreeGStf (ms)=6.78, FPS=83.02026.03 | 23.81 | 0.758 | 0.295 | |
| LoGtf (ms)=11.6, FPS=67.02026.03 | 23.27 | 0.737 | 0.305 | |
| FilterGStf (ms)=1.01, FPS=234.02026.03 | 23.07 | 0.749 | 0.308 | |
| VastGaussianGeometric Optimization=without, Decoupled appearance encoding=false2026.02 | 22.64 | 0.761 | 0.261 | |
| UrbanGSGeometric Optimization=with2026.02 | 22.62 | 0.824 | 0.279 | |
| FLoDtf (ms)=6.31, FPS=147.02026.03 | 22.46 | 0.721 | 0.31 | |
| H3DGStf (ms)=53.46, FPS=72.02026.03 | 22.41 | 0.719 | 0.312 | |
| 3DGSFPS=61.02026.03 | 22.35 | 0.717 | 0.311 | |
| Grendel-GSNumber of Gaussians (millions)=2.72025.10 | 21.82 | 0.822 | 0.258 | |
| LoBE-GSNumber of Gaussians (millions)=4.52025.10 | 21.45 | 0.843 | 0.219 | |
| CityGaussianGeometric Optimization=without2026.02 | 21.39 | 0.837 | 0.23 | |
| CityGSNumber of Gaussians (millions)=3.72025.10 | 21.39 | 0.837 | 0.23 | |
| 3DGSNumber of Gaussians (millions)=3.72025.10 | 21.05 | 0.837 | 0.242 | |
| NeRF++Training Time=95:002021.12 | 20.83 | 0.755 | 0.393 | |
| NeRFTraining Time=60:152021.12 | 20.7 | 0.727 | 0.418 | |
| CityGaussianV2Geometric Optimization=with2026.02 | 20.66 | 0.81 | 0.266 | |
| PGSRGeometric Optimization=with2026.02 | 19.72 | 0.799 | 0.275 | |
| CRAYM2024.12 | 19.37 | 0.42 | 0.63 | |
| VCR-GausGeometric Optimization=with2026.02 | 19.31 | 0.665 | 0.465 | |
| NeuralangeloGeometric Optimization=with2026.02 | 19.1 | 0.769 | 0.231 | |
| NeuSGeometric Optimization=with2026.02 | 18.62 | 0.633 | 0.472 | |
| SuGaRGeometric Optimization=with2026.02 | 18.6 | 0.698 | 0.349 | |
| PET-NeuS2024.12 | 15.18 | 0.36 | 0.88 | |
| SVSTraining Time=59:582021.12 | 15.05 | 0.493 | 0.716 | |
| MVSTraining Time=73:242021.12 | 14.38 | 0.499 | 0.672 | |
| NeuS2024.12 | 13.49 | 0.33 | 0.89 | |
| DeepViewTraining Time=31:292021.12 | 12.22 | 0.454 | 0.831 |