Guided Depth Super-Resolution on RGBDD
1.04RMSE (x4)SSDNet 2023
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SSDNet 2023Training Dataset=NYU v22026.04 | 1.04 | 1.72 | 2.92 | |
| NAIMATraining Dataset=NYU v22026.04 | 1.07 | 1.61 | 2.47 | |
| DCTNet 2022Training Dataset=NYU v22026.04 | 1.08 | 1.74 | 3.05 | |
| SUFT 2022Training Dataset=NYU v22026.04 | 1.1 | 1.69 | 2.71 | |
| SGNet 2024Training Dataset=NYU v22026.04 | 1.1 | 1.64 | 2.55 | |
| JIIF 2021Training Dataset=NYU v22026.04 | 1.17 | 1.79 | 2.87 | |
| FDKN 2021Training Dataset=NYU v22026.04 | 1.18 | 1.91 | 3.41 | |
| FDSR 2021Training Dataset=NYU v22026.04 | 1.18 | 1.74 | 3.05 | |
| DAGF 2023Training Dataset=NYU v22026.04 | 1.18 | 1.82 | 2.91 | |
| DADA 2023Training Dataset=NYU v22026.04 | 1.2 | 1.83 | 2.8 | |
| DKN 2021Training Dataset=NYU v22026.04 | 1.3 | 1.96 | 3.42 |