3D Super-Resolution on CH (test)
0.8926SSIMCNN with Intermediate Loss
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| CNN with Intermediate LossUpscaling factor=2x, Self-ensemble strategy=true2020.01 | 0.8926 | 33.04 | 2.83 | |
| Nearest neighborUpscaling factor=2x2020.01 | 0.843 | 30.36 | 2.19 | |
| LanczosUpscaling factor=2x2020.01 | 0.8423 | 27.85 | 2.58 | |
| BicubicUpscaling factor=2x2020.01 | 0.8335 | 26.51 | 2.47 | |
| BilinearUpscaling factor=2x2020.01 | 0.8329 | 30.72 | 2.18 | |
| CNN with Intermediate LossUpscaling factor=4x, Self-ensemble strategy=true2020.01 | 0.7819 | 29.36 | 1.13 | |
| LanczosUpscaling factor=4x2020.01 | 0.7263 | 25.06 | 1.09 | |
| BilinearUpscaling factor=4x2020.01 | 0.7206 | 27.93 | 0.95 | |
| BicubicUpscaling factor=4x2020.01 | 0.72 | 24.05 | 1.04 | |
| Nearest neighborUpscaling factor=4x2020.01 | 0.7152 | 27.32 | 0.72 |