Single Image Super-Resolution on Urban100 scale 4 (PSNR, SSIM)
27.08PSNRDBPN-RES-MR64-3
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DBPN-RES-MR64-3# Parameters (M)=10.2M2019.04 | 27.08 | 81.4 | |
| RCAN# Parameters (M)=16M2019.04 | 26.82 | 80.9 | |
| SAN# Parameters (M)=15.7M2019.04 | 26.79 | 80.7 | |
| EDSR# Parameters (M)=43.2M2019.04 | 26.64 | 80.3 | |
| RDN# Parameters (M)=22.3M2019.04 | 26.61 | 80.3 | |
| ProposedTraining Dataset=DIV2K2016.11 | 26.42 | 79.4 | |
| D-DBPN# Parameters (M)=10.2M2019.04 | 26.38 | 79.3 | |
| MSRN# Parameters (M)=6.3M2019.04 | 26.04 | 78.9 | |
| MS-LapSRN# Parameters (M)=0.22M2019.04 | 25.51 | 76.8 | |
| DRRN# Parameters (M)=0.30M2019.04 | 25.44 | 76.4 | |
| Proposed-PTraining Dataset=291 dataset2016.11 | 25.36 | 76.14 | |
| DnCNN-3Training Dataset=291 dataset2016.11 | 25.21 | 75.18 | |
| LapSRN# Parameters (M)=0.81M2019.04 | 25.21 | 75.6 | |
| VDSRTraining Dataset=291 dataset2016.11 | 25.18 | 75.24 | |
| VDSR# Parameters (M)=0.66M2019.04 | 25.18 | 75.3 | |
| DRCN# Parameters (M)=1.77M2019.04 | 25.14 | 75.2 | |
| FSRCNN# Parameters (M)=0.01M2019.04 | 24.61 | 72.7 | |
| SRCNN# Parameters (M)=0.05M2019.04 | 24.53 | 72.4 | |
| A+# Parameters (M)=-2019.04 | 24.34 | 72 | |
| Bicubic# Parameters (M)=-2019.04 | 23.15 | 65.9 |