Guided Depth Super-resolution on DIML x16 upsampling
9.45MSELearning Graph Regularisation
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Learning Graph RegularisationUpsampling factor=x16, Feature extractor=UResNet-502022.03 | 9.45 | 0.68 | |
| MSG-NetUpsampling factor=x162022.03 | 13 | 0.93 | |
| PMBANetUpsampling factor=x162022.03 | 13.8 | 0.87 | |
| DKNUpsampling factor=x162022.03 | 19.3 | 1.2 | |
| FDKNUpsampling factor=x162022.03 | 20.8 | 1.24 | |
| FDSRUpsampling factor=x162022.03 | 32.9 | 1.66 | |
| PixtransformUpsampling factor=x162022.03 | 39.3 | 1.78 | |
| GFUpsampling factor=x162022.03 | 66.3 | 2.74 | |
| Learning Graph RegularisationUpsampling factor=x16, Feature extractor=Colour2022.03 | 133 | 1.72 | |
| SD filterUpsampling factor=x162022.03 | 411 | 1.91 |