Image Super Resolution On Set14 8X Upscaling
Metrics
PSNR
SSIM
Results
Performance results of various models on this benchmark
Model Name | PSNR | SSIM | Paper Title | Repository |
|---|---|---|---|---|
| CSRCNN | 24.30 | 0.614 | Cascade Convolutional Neural Network for Image Super-Resolution | - |
| ABPN | 25.08 | 0.638 | Image Super-Resolution via Attention based Back Projection Networks | |
| DRLN+ | 25.4 | 0.6547 | Densely Residual Laplacian Super-Resolution | |
| HBPN | 24.96 | 0.642 | Hierarchical Back Projection Network for Image Super-Resolution | |
| HAN+ | 25.39 | 0.6552 | Single Image Super-Resolution via a Holistic Attention Network | |
| DBPN-RES-MR64-3 | 25.41 | 0.657 | Deep Back-Projection Networks for Single Image Super-resolution | |
| DeepRED | 24.28 | - | DeepRED: Deep Image Prior Powered by RED |
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