Deblurring On Rsblur
평가 지표
Average PSNR
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Average PSNR | Paper Title | Repository |
|---|---|---|---|
| FSNet | 34.31 | Image Restoration via Frequency Selection | |
| MIMO-UNet | 32.73 | Rethinking Coarse-to-Fine Approach in Single Image Deblurring | |
| SFNet | 34.35 | Selective Frequency Network for Image Restoration | |
| Restormer | 33.69 | Restormer: Efficient Transformer for High-Resolution Image Restoration | |
| MPRNet | 33.61 | Multi-Stage Progressive Image Restoration | |
| IRNext | 34.08 | IRNeXt: Rethinking Convolutional Network Design for Image Restoration | |
| SegDeblur | 34.63 | Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization | - |
| MLWNet | 34.94 | Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring | |
| SRN-Deblur | 32.53 | Scale-recurrent Network for Deep Image Deblurring | |
| ConvIR | 34.06 | Revitalizing Convolutional Network for Image Restoration | |
| MIMO-UNet+ | 33.37 | Rethinking Coarse-to-Fine Approach in Single Image Deblurring | |
| Uformer-B | 33.98 | Uformer: A General U-Shaped Transformer for Image Restoration |
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