| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| NYU v2 | SGNet 2024 | RMSE (4x)1.1 | 12 | 12d ago | |
| Lu | SSDNet 2023 | RMSE (x4)0.8 | 11 | 12d ago | |
| Middlebury | SSDNet 2023 | RMSE (x4)1.02 | 11 | 12d ago | |
| RGBDD | SSDNet 2023 | RMSE (x4)1.04 | 11 | 12d ago | |
| DIML x16 upsampling | Learning Graph Regularisation | MSE9.45 | 10 | 1mo ago | |
| DIML x8 upsampling | Learning Graph Regularisation | MSE3.51 | 10 | 1mo ago | |
| DIML x4 upsampling | Learning Graph Regularisation | MSE1.68 | 10 | 1mo ago | |
| NYUv2 x16 upsampling | Learning Graph Regularisation | MSE67.5 | 10 | 1mo ago | |
| NYU x8 upsampling v2 | Learning Graph Regularisation | MSE19.6 | 10 | 1mo ago | |
| NYU x4 upsampling v2 | Learning Graph Regularisation | MSE6.45 | 10 | 1mo ago | |
| Middlebury x16 upsampling | Learning Graph Regularisation | MSE24.7 | 10 | 1mo ago | |
| Middlebury x8 upsampling | Learning Graph Regularisation | MSE7.26 | 10 | 1mo ago | |
| Middlebury x4 upsampling | Learning Graph Regularisation | MSE3.04 | 10 | 1mo ago | |
| TOFDSR 2024 (val) | NAIMA | RMSE2.09 | 9 | 12d ago | |
| Middlebury | Learning Graph Regularisation | MSE8.25 | 9 | 1mo ago | |
| DIML | Learning Graph Regularisation | MSE4.95 | 9 | 1mo ago | |
| DIML Indoor (test) | DADA | MSE38.6 | 3 | 1mo ago | |
| NYUv2 raw (test) | DADA | MSE17.1 | 3 | 1mo ago |
