3D Scene Reconstruction on NeRF-Synthetic (Efficiency)
6.41Training Time (min)clean
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| cleanScene=NS-ficus2025.11 | 6.41 | 606 | |
| cleanScene=NS-Avg2025.11 | 7.3 | 566 | |
| cleanScene=NS-lego2025.11 | 7.36 | 483 | |
| cleanScene=NS-hotdog2025.11 | 7.68 | 655 | |
| cleanScene=NS-chair2025.11 | 7.81 | 345 | |
| limiting Gaussian numberScene=NS-chair2025.11 | 8.61 | 371 | |
| image smoothingScene=NS-ficus2025.11 | 9.08 | 797 | |
| limiting Gaussian numberScene=NS-ficus2025.11 | 9.16 | 471 | |
| image smoothingScene=NS-hotdog2025.11 | 9.31 | 852 | |
| RemedyGSScene=NS-ficus2025.11 | 9.48 | 701 | |
| limiting Gaussian numberScene=NS-lego2025.11 | 9.52 | 403 | |
| limiting Gaussian numberScene=NS-Avg2025.11 | 9.61 | 373 | |
| image smoothingScene=NS-Avg2025.11 | 9.66 | 786 | |
| image smoothingScene=NS-chair2025.11 | 9.71 | 645 | |
| image smoothingScene=NS-lego2025.11 | 9.96 | 702 | |
| limiting Gaussian numberScene=NS-hotdog2025.11 | 9.98 | 356 | |
| RemedyGSScene=NS-chair2025.11 | 10.07 | 348 | |
| RemedyGSScene=NS-Avg2025.11 | 10.17 | 489 | |
| RemedyGSScene=NS-lego2025.11 | 10.34 | 445 | |
| RemedyGSScene=NS-hotdog2025.11 | 10.85 | 374 | |
| poisonedScene=NS-ficus2025.11 | 10.9 | 447 | |
| poisonedScene=NS-chair2025.11 | 12.41 | 170 | |
| poisonedScene=NS-Avg2025.11 | 12.87 | 236 | |
| poisonedScene=NS-lego2025.11 | 13.77 | 194 | |
| poisonedScene=NS-hotdog2025.11 | 16.23 | 100 |