Guided Depth Super-Resolution on NYU v2
1.1RMSE (4x)SGNet 2024
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SGNet 2024Training Dataset=NYU v22026.04 | 1.1 | 2.44 | 4.77 | |
| NAIMATraining Dataset=NYU v22026.04 | 1.1 | 2.39 | 4.61 | |
| SUFT 2022Training Dataset=NYU v22026.04 | 1.12 | 2.51 | 4.86 | |
| DORNet 2025Training Dataset=NYU v22026.04 | 1.19 | 2.7 | 5.6 | |
| DAGF 2023Training Dataset=NYU v22026.04 | 1.36 | 2.87 | 6.06 | |
| JIIF 2021Training Dataset=NYU v22026.04 | 1.37 | 2.76 | 5.27 | |
| DADA 2023Training Dataset=NYU v22026.04 | 1.54 | 2.74 | 4.8 | |
| DCTNet 2022Training Dataset=NYU v22026.04 | 1.59 | 3.16 | 5.84 | |
| SSDNet 2023Training Dataset=NYU v22026.04 | 1.6 | 3.14 | 5.86 | |
| FDSR 2021Training Dataset=NYU v22026.04 | 1.61 | 3.18 | 5.84 | |
| DKN 2021Training Dataset=NYU v22026.04 | 1.62 | 3.26 | 6.51 | |
| FDKN 2021Training Dataset=NYU v22026.04 | 1.86 | 3.58 | 6.96 |