Guided Depth Super-resolution on Middlebury
8.25MSELearning Graph Regularisation
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Learning Graph RegularisationUpsampling factor=x8, Training dataset=NYUv22022.03 | 8.25 | 0.35 | 0.0011 | |
| PMBANetUpsampling factor=x8, Training dataset=NYUv22022.03 | 9.62 | 0.46 | 0.06 | |
| FDKNUpsampling factor=x8, Training dataset=NYUv22022.03 | 10 | 0.43 | 0.2 | |
| MSG-NetUpsampling factor=x8, Training dataset=NYUv22022.03 | 11 | 0.54 | 5.01 | |
| FDSRUpsampling factor=x8, Training dataset=NYUv22022.03 | 18.4 | 0.73 | 7.2 | |
| Learning Graph Regularisation (Colour)Upsampling factor=x8, Training dataset=NYUv2, Feature extractor=Colour2022.03 | 23.9 | 0.91 | 0.08 | |
| PixtransformUpsampling factor=x8, Training dataset=NYUv22022.03 | 32.7 | 0.82 | 22.5 | |
| GFUpsampling factor=x8, Training dataset=NYUv22022.03 | 40.5 | 1.49 | 17.9 | |
| SD filterUpsampling factor=x8, Training dataset=NYUv22022.03 | 82.5 | 0.86 | 1.86 |