Guided Depth Super-resolution on Middlebury x16 upsampling
24.7MSELearning Graph Regularisation
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Learning Graph RegularisationUpsampling factor=x16, Feature extractor=UResNet-502022.03 | 24.7 | 0.67 | |
| PMBANetUpsampling factor=x162022.03 | 30.6 | 0.89 | |
| MSG-NetUpsampling factor=x162022.03 | 34.2 | 1.06 | |
| FDKNUpsampling factor=x162022.03 | 38.5 | 1.18 | |
| PixtransformUpsampling factor=x162022.03 | 41.5 | 1.24 | |
| DKNUpsampling factor=x162022.03 | 47.6 | 1.42 | |
| FDSRUpsampling factor=x162022.03 | 55.4 | 1.51 | |
| GFUpsampling factor=x162022.03 | 67.4 | 2.21 | |
| Learning Graph RegularisationUpsampling factor=x16, Feature extractor=Colour2022.03 | 297 | 1.69 | |
| SD filterUpsampling factor=x162022.03 | 511 | 1.73 |