Image Super Resolution On Div8K Val 16X
Metrics
LPIPS
PSNR
Results
Performance results of various models on this benchmark
| Paper Title | |||
|---|---|---|---|
| RFB-ESRGAN | 0.345 | 24.03 | Perceptual Extreme Super Resolution Network with Receptive Field Block |
| Ours w/o cycle-loss | 0.321 | - | One-to-many Approach for Improving Super-Resolution |
| ABPN | - | 26.71 | Image Super-Resolution via Attention based Back Projection Networks |
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