Jpeg Artifact Correction On Live1 Quality 40
Metrics
PSNR
SSIM
Results
Performance results of various models on this benchmark
| Paper Title | Code | |||
|---|---|---|---|---|
| Hi-IR | 34.71 | 0.9347 | Hierarchical Information Flow for Generalized Efficient Image Restoration | |
| Residual Dense Network + | 34.54 | 0.9304 | Residual Dense Network for Image Restoration | |
| FBCNN | 34.53 | 0.931 | Towards Flexible Blind JPEG Artifacts Removal | |
| MWCNN | 34.45 | - | Multi-level Wavelet-CNN for Image Restoration | |
| DnCNN-3 | 33.96 | - | Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising |
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