Superresolution on CelebA-HQ (test)
29.47PSNRPaDIS
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| PaDISAssembly=PaDIS2024.06 | 29.47 | 0.846 | — | — | — | — | — | — | — | |
| DDPGNFEs=10002025.11 | 29.4 | 0.838 | — | 0.086 | 40.95 | — | — | — | — | |
| Whole image diffusionScope=Whole image2024.06 | 29.17 | 0.827 | — | — | — | — | — | — | — | |
| JAPS2025.11 | 28.39 | 0.806 | — | 0.07 | 39.76 | — | — | — | — | |
| ΠGDMModel Type=diffusion-based2024.05 | 28.33 | 0.803 | — | — | — | — | — | — | — | |
| DAPSNFEs=10002025.11 | 28.12 | 0.781 | — | 0.075 | 28.63 | — | — | — | — | |
| ICTMlocal prior=true2024.05 | 27.91 | 0.805 | — | — | — | — | — | — | — | |
| DPS-ODEModel Type=flow-based2024.05 | 27.85 | 0.791 | — | — | — | — | — | — | — | |
| Patch AveragingAssembly=Patch Averaging2024.06 | 27.67 | 0.802 | — | — | — | — | — | — | — | |
| DSG2025.11 | 27.57 | 0.78 | — | 0.072 | 40.77 | — | — | — | — | |
| DPS2025.11 | 27.56 | 0.777 | — | 0.072 | 40.01 | — | — | — | — | |
| Patch StitchingAssembly=Patch Stitching2024.06 | 27.5 | 0.78 | — | — | — | — | — | — | — | |
| OT-ODEModel Type=flow-based2024.05 | 27.46 | 0.775 | — | — | — | — | — | — | — | |
| PiGDM2025.11 | 27.23 | 0.767 | — | 0.078 | 40.83 | — | — | — | — | |
| RED-DiffModel Type=diffusion-based2024.05 | 27.2 | 0.76 | — | — | — | — | — | — | — | |
| Predictor-correctorSampling=Predictor-corrector2024.06 | 26.97 | 0.685 | — | — | — | — | — | — | — | |
| Langevin dynamicsSampling=Langevin dynamics2024.06 | 26.83 | 0.744 | — | — | — | — | — | — | — | |
| PnP-ADMM2024.06 | 26.61 | 0.785 | — | — | — | — | — | — | — | |
| DiffPIRNFEs=10002025.11 | 26.58 | 0.763 | — | 0.081 | 38.78 | — | — | — | — | |
| PnP-RED2024.06 | 26.36 | 0.766 | — | — | — | — | — | — | — | |
| ICTM (w/o prior)local prior=false2024.05 | 26.06 | 0.724 | — | — | — | — | — | — | — | |
| VE-DDNMFramework=VE-DDNM2024.06 | 26.01 | 0.727 | — | — | — | — | — | — | — | |
| SDBpaired fraction ρ=1.0, zero-shot=true, training dataset=FFHQ, resolution=16x16 -> 128x1282026.05 | 25.9 | 0.69 | — | 0.31 | — | — | — | — | — | |
| Baseline2024.06 | 25.86 | 0.739 | — | — | — | — | — | — | — | |
| ADMM-TV2024.06 | 25.66 | 0.745 | — | — | — | — | — | — | — | |
| LDDBMpaired fraction ρ=1.0, zero-shot=true, training dataset=FFHQ, resolution=16x16 -> 128x1282026.05 | 25.6 | 0.68 | — | 0.32 | — | — | — | — | — | |
| SDBpaired fraction ρ=0.5, zero-shot=true, training dataset=FFHQ, resolution=16x16 -> 128x1282026.05 | 25.2 | 0.68 | — | 0.32 | — | — | — | — | — | |
| LDDBMpaired fraction ρ=0.5, zero-shot=true, training dataset=FFHQ, resolution=16x16 -> 128x1282026.05 | 24.9 | 0.67 | — | 0.33 | — | — | — | — | — | |
| SR3 + QNNQNN=true2025.12 | 23.63 | 0.69 | — | — | — | — | — | — | — | |
| SR3*QNN=false, Training=Retrained2025.12 | 23.51 | 0.68 | — | — | — | — | — | — | — | |
| WaveletSRNet2020.09 | 23.5 | 0.6595 | 0.7542 | 0.5409 | 111.6 | — | — | — | — | |
| WaDiGAN-SRRuntime=0.12s, Parameters=57M, Training iteration steps=25k, Resolution scale=16x16 -> 128x1282024.10 | 23.38 | 0.68 | — | 0.061 | 47.2 | — | — | — | — | |
| DiWapaired fraction ρ=1.0, zero-shot=true, training dataset=FFHQ, resolution=16x16 -> 128x1282026.05 | 23.3 | 0.65 | — | 0.39 | — | — | — | — | — | |
| SR3QNN=false, Training=Reported2025.12 | 23.04 | 0.65 | — | — | — | — | — | — | — | |
| FSRGANQNN=not applicable2025.12 | 23.01 | 0.62 | — | — | — | — | — | — | — | |
| Super-FAN2020.09 | 22.71 | 0.6527 | 0.7459 | 0.4908 | 94.95 | — | — | — | — | |
| DiWapaired fraction ρ=0.5, zero-shot=true, training dataset=FFHQ, resolution=16x16 -> 128x1282026.05 | 22.6 | 0.62 | — | 0.4 | — | — | — | — | — | |
| ESRGAN2020.09 | 21.95 | 0.6096 | 0.7293 | 0.5515 | 97.02 | — | — | — | — | |
| ESRGANRuntime=0.04s, Parameters=31M, Training iteration steps=25k, Resolution scale=16x16 -> 128x1282024.10 | 21.13 | 0.59 | — | 0.082 | 20.8 | — | — | — | — | |
| SDBpaired fraction ρ=0, zero-shot=true, training dataset=FFHQ, resolution=16x16 -> 128x1282026.05 | 19 | 0.54 | — | 0.37 | — | — | — | — | — | |
| PULSEQNN=not applicable2025.12 | 16.88 | 0.44 | — | — | — | — | — | — | — | |
| SR3Runtime=60.3s, Parameters=98M, Training iteration steps=25k, Resolution scale=16x16 -> 128x1282024.10 | 14.65 | 0.42 | — | 0.365 | 99.4 | — | — | — | — | |
| DiWaRuntime=34.7s, Parameters=92M, Training iteration steps=25k, Resolution scale=16x16 -> 128x1282024.10 | 13.68 | 0.13 | — | 0.336 | 270 | — | — | — | — | |
| DPSUpscaling Factor=x8, Noise Condition=Gaussian noise (sigma=0.05)2024.03 | — | — | — | — | — | 30.05 | 5.92 | 0.29 | — | |
| T2I-DDNMBase Model=Imagen [68], Algorithm=DDNM+, Upscaling Factor=x8, Noise Condition=Gaussian noise (sigma=0.05)2024.03 | — | — | — | — | — | 31.4 | 7.09 | 0.297 | — | |
| T2I-DPSBase Model=Imagen [68], Algorithm=DPS, Upscaling Factor=x8, Noise Condition=Gaussian noise (sigma=0.05)2024.03 | — | — | — | — | — | 31.33 | 5.57 | 0.29 | — | |
| T2I-IGDMBase Model=Imagen [68], Algorithm=IGDM, Upscaling Factor=x8, Noise Condition=Gaussian noise (sigma=0.05)2024.03 | — | — | — | — | — | 31.52 | 6.07 | 0.295 | — |