Image Deraining on Rain100H (PSNR, SSIM, LPIPS, FID)
34.56PSNRMean-ODE
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Mean-ODE2023.12 | 34.56 | 0.9414 | 0.077 | 32.83 | |
| GOUB2023.12 | 31.96 | 0.9028 | 0.046 | 18.14 | |
| IR-SDE2023.12 | 31.65 | 0.9041 | 0.047 | 18.64 | |
| MHNet2023.12 | 31.08 | 0.899 | 0.126 | 57.93 | |
| MAXIM2023.12 | 30.81 | 0.9027 | 0.133 | 58.72 | |
| M3SNet-322023.12 | 30.64 | 0.892 | 0.154 | 60.26 | |
| MPRNet2023.12 | 30.41 | 0.8906 | 0.158 | 61.59 | |
| FP32 (Reference)Quantization Precision=FP322026.03 | 30.03 | 0.886 | 0.111 | — | |
| QDR (Ours)Quantization Precision=INT82026.03 | 28.95 | 0.833 | 0.147 | — | |
| QAT + DCKDQuantization Precision=INT82026.03 | 28.61 | 0.833 | 0.151 | — | |
| QAT + KDQuantization Precision=INT82026.03 | 28.47 | 0.828 | 0.154 | — | |
| QAT + FAKDQuantization Precision=INT82026.03 | 28.44 | 0.827 | 0.155 | — | |
| QAT + SLKDQuantization Precision=INT82026.03 | 28.41 | 0.825 | 0.156 | — | |
| QATQuantization Precision=INT82026.03 | 28.36 | 0.823 | 0.158 | — | |
| PTQQuantization Precision=INT82026.03 | 28.1 | 0.814 | 0.165 | — |