3D Scene Reconstruction on Mip-NeRF360 (Efficiency and Complexity)
13.98Training Time (min)
image smoothing
Updated 1mo ago
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
2025.11 | 13.98 | - | - | 290 | |
2025.11 | 16.66 | - | - | 222 | |
2025.11 | 17.26 | - | - | 225 | |
2025.11 | 17.79 | - | - | 240 | |
2025.11 | 18.11 | - | - | 178 | |
2025.11 | 18.63 | - | - | 277 | |
2025.11 | 18.94 | - | - | 197 | |
2025.11 | 19.45 | - | - | 147 | |
2025.11 | 19.56 | - | - | 205 | |
2025.11 | 20.05 | - | - | 157 | |
2025.11 | 20.67 | - | - | 192 | |
2025.11 | 22.14 | - | - | 154 | |
2025.11 | 22.21 | - | - | 175 | |
2025.11 | 22.84 | - | - | 138 | |
2025.11 | 23.64 | - | - | 168 | |
2025.11 | 23.7 | - | - | 213 | |
2025.11 | 23.86 | - | - | 185 | |
2025.11 | 24.47 | - | 8,944 | 184 | |
2025.11 | 24.59 | - | - | 157 | |
2026.03 | 24.68 | 3.191 | 12,510 | - | |
2025.11 | 24.94 | - | - | 129 | |
2025.11 | 25.04 | - | 10,655 | 39 | |
2025.11 | 25.37 | - | - | 128 | |
2025.11 | 25.7 | - | 9,454 | 172 | |
2025.11 | 28.15 | - | 8,685 | 94 | |
2025.11 | 28.92 | - | 11,823 | 46 | |
2025.11 | 29.51 | - | 10,097 | 49 | |
2025.11 | 29.92 | - | 10,116 | 38 | |
2025.11 | 30.42 | - | 10,586 | 41 | |
2025.11 | 30.68 | - | 9,106 | 44 | |
2026.03 | 31.35 | 1.876 | 11,491 | - | |
2025.11 | 31.56 | - | 11,320 | 42 | |
2025.11 | 31.63 | - | 8,814 | 43 | |
2026.03 | 33.18 | 1.874 | 11,201 | - | |
2025.11 | 33.72 | - | - | 60 | |
2026.03 | 33.79 | 5.782 | 17,533 | - | |
2025.11 | 34.27 | - | 10,513 | 42 | |
2025.11 | 35.46 | - | - | 55 | |
2026.03 | 40.56 | 7.045 | 24,445 | - | |
2025.11 | 40.62 | - | - | 51 | |
2025.11 | 41.99 | - | - | 46 | |
2025.11 | 48.11 | - | - | 31 | |
2026.03 | 50.76 | 10.068 | 25,865 | - | |
2025.11 | - | - | 12,136 | - | |
2025.11 | - | - | 23,961 | - | |
2025.11 | - | - | 9,083 | - | |
2025.11 | - | - | 13,237 | - | |
2025.11 | - | - | 10,630 | - |