Super-Resolution on DIV2K
34.72PSNRCATANet
Evaluation results
| Method | Links | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CATANet2026.04 | 34.72 | — | — | — | — | — | 0.801 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MatRes2026.04 | 32.78 | — | — | — | — | — | 0.758 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| IM-LUT2026.04 | 32.04 | — | — | — | — | — | 0.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AutoLUT2026.04 | 31.86 | — | — | — | — | — | 0.733 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Full-PrecisionW/A=32/32, Scale=x42023.08 | 30.67 | — | — | — | — | — | 0.8428 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| frequency-guided post-training quantizationW/A=8/8, Scale=x42023.08 | 30.59 | — | — | — | — | — | 0.8401 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MinMaxW/A=8/8, Scale=x42023.08 | 30.54 | — | — | — | — | — | 0.8388 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PercentileW/A=8/8, Scale=x42023.08 | 30.54 | — | — | — | — | — | 0.8394 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PTQ4SR+W/A=8/8, Scale=x42023.08 | 30.5 | — | — | — | — | — | 0.8386 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| EfRLFNUpscaling Factor=4x, Fine-tuning=true2026.02 | 30.3 | — | — | — | — | — | 0.778 | — | — | — | — | — | 0.331 | — | — | — | — | — | — | — | — | |
| AIO_MAI (Stage 2)DataType=FP322026.04 | 30.28 | — | — | — | — | — | 0.863 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| frequency-guided post-training quantizationW/A=6/6, Scale=x42023.08 | 30.18 | — | — | — | — | — | 0.8246 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ABPNDataType=INT82026.04 | 30.15 | — | — | — | — | — | 0.852 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AIO_MAI (Deploy)DataType=INT82026.04 | 30.13 | — | — | — | — | — | 0.858 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RLFNUpscaling Factor=4x, Fine-tuning=true2026.02 | 30 | — | — | — | — | — | 0.774 | — | — | — | — | — | 0.334 | — | — | — | — | — | — | — | — | |
| WGSRTraining Dataset=DIV2K, SWT Decomposition Levels=2-lvl2024.02 | 29.857 | 49.076 | 0.111 | — | — | — | 0.82 | 0.056 | 0.213 | 2.943 | 6.452 | 3.602 | — | — | — | — | — | — | — | — | — | |
| SESRMAC (x1e9)=1.85, Upsampling scale=4x, Input size=64x642022.01 | 29.81 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SPANUpscaling Factor=4x, Fine-tuning=true2026.02 | 29.8 | — | — | — | — | — | 0.75 | — | — | — | — | — | 0.375 | — | — | — | — | — | — | — | — | |
| UDCMAC (x1e9)=1.05, Upsampling scale=4x, Input size=64x642022.01 | 29.79 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UDCMAC (x1e9)=0.79, Upsampling scale=4x, Input size=64x642022.01 | 29.73 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SESRMAC (x1e9)=1.32, Upsampling scale=4x, Input size=64x642022.01 | 29.72 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PDASRTraining Dataset=DIV2K2024.02 | 29.707 | 51.69 | 0.123 | — | — | — | 0.81 | 0.076 | 0.237 | 3.439 | 6.56 | 3.462 | — | — | — | — | — | — | — | — | — | |
| PTQ4SR+W/A=6/6, Scale=x42023.08 | 29.68 | — | — | — | — | — | 0.8157 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SESRMAC (x1e9)=1.05, Upsampling scale=4x, Input size=64x642022.01 | 29.65 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FSRCNNMAC (x1e9)=4.63, Upsampling scale=4x, Input size=64x642022.01 | 29.63 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UDCMAC (x1e9)=0.53, Upsampling scale=4x, Input size=64x642022.01 | 29.61 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| XLSRUpscaling Factor=4x, Fine-tuning=true2026.02 | 29.6 | — | — | — | — | — | 0.759 | — | — | — | — | — | 0.339 | — | — | — | — | — | — | — | — | |
| SAFMNUpscaling Factor=4x, Fine-tuning=true2026.02 | 29.6 | — | — | — | — | — | 0.736 | — | — | — | — | — | 0.372 | — | — | — | — | — | — | — | — | |
| SPANUpscaling Factor=4x, Fine-tuning=false2026.02 | 29.6 | — | — | — | — | — | 0.739 | — | — | — | — | — | 0.341 | — | — | — | — | — | — | — | — | |
| MinMaxW/A=6/6, Scale=x42023.08 | 29.56 | — | — | — | — | — | 0.8025 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PercentileW/A=6/6, Scale=x42023.08 | 29.53 | — | — | — | — | — | 0.8025 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SESRMAC (x1e9)=0.79, Upsampling scale=4x, Input size=64x642022.01 | 29.52 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RRDBTraining dataset=DIV2K2022.11 | 29.48 | 53.71 | 0.2537 | — | — | — | 0.8444 | 0.1261 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FSRCNNDataType=FP322026.04 | 29.45 | — | — | — | — | — | 0.838 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SAFMNUpscaling Factor=4x, Fine-tuning=false2026.02 | 29.4 | — | — | — | — | — | 0.729 | — | — | — | — | — | 0.376 | — | — | — | — | — | — | — | — | |
| BATDiffSup.=U/SI, Training dataset=SI, Scale=x42026.03 | 29.34 | — | — | — | — | — | 0.8948 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SROOEVariant=T=0, Training dataset=DIV2K2022.11 | 29.33 | 53.59 | 0.253 | — | — | — | 0.8413 | 0.1254 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SROOETraining Dataset=DIV2K2024.02 | 29.312 | 42.95 | 0.103 | — | — | — | 0.803 | 0.054 | 0.2 | 3.464 | 6.543 | 3.516 | — | — | — | — | — | — | — | — | — | |
| SMFANetUpscaling Factor=4x, Fine-tuning=true2026.02 | 29.3 | — | — | — | — | — | 0.722 | — | — | — | — | — | 0.38 | — | — | — | — | — | — | — | — | |
| BAIRNetScale Factor=×62022.03 | 29.29 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DualFormerTraining Dataset=DIV2K2024.02 | 29.25 | 51.088 | 0.097 | — | — | — | 0.802 | 0.056 | 0.202 | 3.237 | 6.611 | 3.34 | — | — | — | — | — | — | — | — | — | |
| RLFNUpscaling Factor=4x, Fine-tuning=false2026.02 | 29.2 | — | — | — | — | — | 0.721 | — | — | — | — | — | 0.386 | — | — | — | — | — | — | — | — | |
| WGSRTraining Dataset=DF2K, SWT Decomposition Levels=1-lvl2024.02 | 29.188 | 49.057 | 0.104 | — | — | — | 0.804 | 0.054 | 0.21 | 2.888 | 6.87 | 3.107 | — | — | — | — | — | — | — | — | — | |
| SMFANetUpscaling Factor=4x, Fine-tuning=false2026.02 | 29.1 | — | — | — | — | — | 0.715 | — | — | — | — | — | 0.384 | — | — | — | — | — | — | — | — | |
| FxSRTraining Dataset=DIV2K2024.02 | 29.022 | 50.514 | 0.103 | — | — | — | 0.798 | 0.057 | 0.212 | 3.064 | 6.671 | 3.231 | — | — | — | — | — | — | — | — | — | |
| EDSRSup.=P, Training dataset=DF2K, Scale=x42026.03 | 28.98 | — | — | — | — | — | 0.83 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LDLTraining Dataset=DIV2K2024.02 | 28.959 | 45.9 | 0.101 | — | — | — | 0.795 | 0.053 | 0.199 | 2.966 | 6.61 | 3.213 | — | — | — | — | — | — | — | — | — | |
| SRFlow-DATraining Dataset=DF2K2024.02 | 28.954 | 50.151 | 0.123 | — | — | — | 0.789 | 0.075 | 0.253 | 3.828 | 6.519 | 3.65 | — | — | — | — | — | — | — | — | — | |
| XLSRUpscaling Factor=4x, Fine-tuning=false2026.02 | 28.9 | — | — | — | — | — | 0.704 | — | — | — | — | — | 0.391 | — | — | — | — | — | — | — | — | |
| BicubicDataType=FP322026.04 | 28.26 | — | — | — | — | — | 0.828 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SPSRTraining Dataset=DIV2K2024.02 | 28.19 | 42.565 | 0.11 | — | — | — | 0.772 | 0.055 | 0.218 | 2.952 | 6.694 | 3.158 | — | — | — | — | — | — | — | — | — | |
| frequency-guided post-training quantizationW/A=4/4, Scale=x42023.08 | 28.1 | — | — | — | — | — | 0.7214 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DiWaSup.=P, Training dataset=DIV2K, Scale=x42026.03 | 28.09 | — | — | — | — | — | 0.78 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ESRGAN-FSTraining Dataset=DF2K2024.02 | 28.073 | 42.915 | 0.116 | — | — | — | 0.77 | 0.058 | 0.226 | 2.953 | 6.724 | 3.137 | — | — | — | — | — | — | — | — | — | |
| SROOSVariant=T, Training dataset=DF2K2022.11 | 28.03 | 51.04 | 0.0888 | — | — | — | 0.8031 | 0.048 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Normalized HadamardParameter budget=244k, Scale factor=4x2025.12 | 27.92 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SROOEVariant=TB, Training dataset=DF2K2022.11 | 27.69 | 50.8 | 0.0957 | — | — | — | 0.7932 | 0.0491 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Normalized HadamardParameter budget=133k, Scale factor=4x2025.12 | 27.68 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AsConvSRUpscaling Factor=4x, Fine-tuning=true2026.02 | 27.6 | — | — | — | — | — | 0.701 | — | — | — | — | — | 0.471 | — | — | — | — | — | — | — | — | |
| SROOEVariant=TB, Training dataset=DIV2K2022.11 | 27.57 | 50.36 | 0.0971 | — | — | — | 0.7906 | 0.0492 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FDDiffSup.=P, Training dataset=DIV2K, Scale=x42026.03 | 27.53 | — | — | — | — | — | 0.85 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FxSRTraining dataset=DIV2K2022.11 | 27.51 | 50.54 | 0.1028 | — | — | — | 0.789 | 0.0513 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PTQ4SR+W/A=4/4, Scale=x42023.08 | 27.47 | — | — | — | — | — | 0.6961 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SRDiffSup.=P, Training dataset=DIV2K, Scale=x42026.03 | 27.41 | — | — | — | — | — | 0.79 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| WIREParameter budget=244k, Scale factor=4x2025.12 | 27.36 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RT4KSRUpscaling Factor=4x, Fine-tuning=true2026.02 | 27.3 | — | — | — | — | — | 0.696 | — | — | — | — | — | 0.489 | — | — | — | — | — | — | — | — | |
| BW-ReLUParameter budget=244k, Scale factor=4x2025.12 | 27.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RankSRGANTraining Dataset=DIV2K2024.02 | 27.196 | 37.758 | 0.145 | — | — | — | 0.74 | 0.067 | 0.25 | 2.576 | 6.828 | 2.891 | — | — | — | — | — | — | — | — | — | |
| ESPCNUpscaling Factor=4x, Fine-tuning=true2026.02 | 27.1 | — | — | — | — | — | 0.551 | — | — | — | — | — | 0.557 | — | — | — | — | — | — | — | — | |
| BW-ReLUParameter budget=133k, Scale factor=4x2025.12 | 27.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SRFlowTraining dataset=DIV2K2022.11 | 27.08 | 49.96 | 0.1201 | — | — | — | 0.7558 | 0.0622 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| WIREParameter budget=133k, Scale factor=4x2025.12 | 27.05 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LIIFScale Factor=×62022.03 | 27.02 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ESPCNUpscaling Factor=4x, Fine-tuning=false2026.02 | 26.9 | — | — | — | — | — | 0.539 | — | — | — | — | — | 0.572 | — | — | — | — | — | — | — | — | |
| bicubicUpscaling Factor=4x, Fine-tuning=false2026.02 | 26.8 | — | — | — | — | — | 0.562 | — | — | — | — | — | 0.484 | — | — | — | — | — | — | — | — | |
| ESRGAN+Training Dataset=DIV2K2024.02 | 26.77 | 38.407 | 0.133 | — | — | — | 0.743 | 0.067 | 0.242 | 2.911 | 6.721 | 3.126 | — | — | — | — | — | — | — | — | — | |
| Normalized HadamardParameter budget=66k, Scale factor=4x2025.12 | 26.75 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| WIREParameter budget=66k, Scale factor=4x2025.12 | 26.75 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SPSRTraining dataset=DF2K2022.11 | 26.71 | 42.57 | 0.11 | — | — | — | 0.7614 | 0.0494 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SIRENParameter budget=244k, Scale factor=4x2025.12 | 26.67 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ESRGANTraining dataset=DIV2K2022.11 | 26.64 | 42.61 | 0.1154 | — | — | — | 0.764 | 0.053 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SRGANTraining dataset=DF2K2022.11 | 26.63 | 40.87 | 0.1263 | — | — | — | 0.7625 | 0.0613 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ArbSRScale Factor=×62022.03 | 26.61 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SFTGANTraining dataset=DF2K+OST2022.11 | 26.56 | 40.4 | 0.1449 | — | — | — | 0.7578 | 0.0858 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RankSRGANTraining dataset=ImageNet+OST2022.11 | 26.51 | 41.9 | 0.1217 | — | — | — | 0.7526 | 0.0589 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BW-ReLUParameter budget=66k, Scale factor=4x2025.12 | 26.44 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SIRENParameter budget=133k, Scale factor=4x2025.12 | 26.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BAIRNetScale Factor=×122022.03 | 25.55 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SIRENParameter budget=66k, Scale factor=4x2025.12 | 25.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BicubicScale Factor=×62022.03 | 24.82 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GramSRDiffusion Formulation=one-step2026.04 | 24.79 | — | — | — | — | — | 0.6331 | 18.38 | — | 4.6 | — | — | 27.18 | — | — | — | — | — | — | 21.84 | — | |
| BSRGAN2026.02 | 24.58 | — | — | — | — | — | 0.6269 | 0.2275 | — | 4.7518 | — | — | — | 61.2 | 0.5071 | 0.5247 | — | — | — | — | — | |
| Real-ESRGAN2026.02 | 24.29 | — | — | — | — | — | 0.6371 | 0.2141 | — | 4.6786 | — | — | — | 61.06 | 0.5501 | 0.5277 | — | — | — | — | — | |
| SinSRDiffusion Formulation=one-step2026.04 | 24.29 | — | — | — | — | — | 0.6008 | 20.49 | — | 5.79 | — | — | 32.28 | — | — | — | — | — | — | 37.17 | — | |
| LIIFScale Factor=×122022.03 | 23.95 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SFRscaling factor=x42026.06 | 23.95 | — | — | — | — | — | 0.79 | — | — | — | — | — | 0.32 | — | — | — | — | — | — | — | — | |
| PiSA-SRDiffusion Formulation=one-step2026.04 | 23.86 | — | — | — | — | — | 0.6057 | 19.3 | — | 4.57 | — | — | 28.21 | — | — | — | — | — | — | 25.07 | — | |
| BAIRNetScale Factor=×182022.03 | 23.84 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LDL2026.02 | 23.83 | — | — | — | — | — | 0.6344 | 0.2227 | — | 4.8554 | — | — | — | 60.04 | 0.535 | 0.518 | — | — | — | — | — | |
| AdcSRDiffusion Formulation=one-step2026.04 | 23.74 | — | — | — | — | — | 0.6017 | 18.99 | — | 4.36 | — | — | 28.53 | — | — | — | — | — | — | 25.52 | — |