Depth Super-Resolution on URGBD real-world (test)
8.35RMSEMOMNet-T
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MOMNet-TGeneralization=Pre-trained on Hypersim, Variant=Lightweight2025.11 | 8.35 | 4.08 | 92.56 | |
| MOMNetGeneralization=Pre-trained on Hypersim2025.11 | 8.39 | 4.05 | 92.68 | |
| DJFGeneralization=Pre-trained on Hypersim2025.11 | 8.57 | 4.38 | 92.18 | |
| DJFRGeneralization=Pre-trained on Hypersim2025.11 | 8.6 | 4.12 | 92.49 | |
| CUNetGeneralization=Pre-trained on Hypersim2025.11 | 8.63 | 4.45 | 91.82 | |
| DKNGeneralization=Pre-trained on Hypersim2025.11 | 8.77 | 4.1 | 92.44 | |
| DCTNetGeneralization=Pre-trained on Hypersim2025.11 | 8.86 | 4.53 | 92.37 | |
| C2PDGeneralization=Pre-trained on Hypersim2025.11 | 8.93 | 4.17 | 92.66 | |
| FDSRGeneralization=Pre-trained on Hypersim2025.11 | 9.07 | 4.22 | 92.19 | |
| DORNetGeneralization=Pre-trained on Hypersim2025.11 | 9.11 | 4.24 | 92.64 |