Image Super-Resolution on DIV2K (val)
0.087LPIPSCALGAN
Evaluation results
| Method | Links | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CALGANBackbone=SwinIR, Recon. Objective=L_pix2024.11 | 0.087 | — | — | 0.048 | — | — | — | — | — | — | — | — | — | — | — | |
| AESOPBackbone=SwinIR, Recon. Objective=L_AESOP2024.11 | 0.0893 | 29.137 | 0.8023 | 0.0459 | — | — | — | — | — | — | — | — | — | — | — | |
| CALGANBackbone=RRDB, Recon. Objective=L_pix2024.11 | 0.091 | 28.863 | 0.79 | 0.049 | — | — | — | — | — | — | — | — | — | — | — | |
| LDLBackbone=DRCT, Recon. Objective=L_pix2024.11 | 0.0934 | 29.03 | 0.7994 | 0.0487 | — | — | — | — | — | — | — | — | — | — | — | |
| AESOPBackbone=RRDB, Recon. Objective=L_AESOP2024.11 | 0.0936 | 28.91 | 0.7951 | 0.0484 | — | — | — | — | — | — | — | — | — | — | — | |
| AESOPBackbone=DRCT, Recon. Objective=L_AESOP2024.11 | 0.0949 | 29.456 | 0.8085 | 0.0485 | — | — | — | — | — | — | — | — | — | — | — | |
| FlowMapSR-2Upscaling Factor=x22026.01 | 0.1999 | 23.82 | 0.6989 | 0.077 | 7.16 | 2.904 | 0.639 | 0.3892 | 0.5356 | — | — | — | — | — | — | |
| Real-ESRGANUpscaling Factor=x22026.01 | 0.2123 | 25.16 | 0.7829 | 0.105 | 14.75 | 3.855 | 0.645 | 0.4122 | 0.5515 | — | — | — | — | — | — | |
| S3Diff-1Upscaling Factor=x22026.01 | 0.2316 | 22.39 | 0.6748 | 0.1034 | 10.97 | 3.715 | 0.6175 | 0.37 | 0.5045 | — | — | — | — | — | — | |
| OSEDiffBits=W32A322024.11 | 0.2325 | 24.95 | 0.7154 | 0.1197 | — | 3.616 | 68.92 | 0.434 | 0.6842 | — | — | — | — | — | — | |
| OSEDiff-1Upscaling Factor=x22026.01 | 0.2363 | 22.72 | 0.6931 | 0.1063 | 17.78 | 3.386 | 0.6894 | 0.4533 | 0.6183 | — | — | — | — | — | — | |
| PassionSR-FPBits=W32A322024.11 | 0.2373 | 25.16 | 0.7221 | 0.1185 | — | 3.573 | 69.27 | 0.4402 | 0.6958 | — | — | — | — | — | — | |
| S3Diff-1Upscaling Factor=x42026.01 | 0.2475 | 20.87 | 0.6223 | 0.1093 | 15.39 | 3.198 | 0.678 | 0.4223 | 0.5893 | — | — | — | — | — | — | |
| PassionSRBits=W8A82024.11 | 0.2496 | 25.11 | 0.7199 | 0.1277 | — | 4.424 | 67.92 | 0.3993 | 0.6939 | — | — | — | — | — | — | |
| S3Diff-1sDiffusion steps=1, NFEs=2, CFG=true, Scaling factor=x42026.03 | 0.2545 | 23.68 | — | — | 84.92 | 5.0358 | 68.4 | 0.6252 | 0.7012 | — | — | — | — | — | — | |
| FlowMapSR-2Upscaling Factor=x42026.01 | 0.2554 | 22.12 | 0.6412 | 0.0995 | 13.05 | 3.036 | 0.6431 | 0.401 | 0.5419 | — | — | — | — | — | — | |
| S3DiffVenue=ArXiv’24, Step strategy=Efficient / one-step2026.05 | 0.2571 | 23.4 | 0.5953 | 0.193 | — | 4.7391 | 68.21 | 0.5538 | 0.7007 | — | — | — | — | — | — | |
| OSEDiff-1Upscaling Factor=x42026.01 | 0.2625 | 21.89 | 0.65 | 0.1107 | 19.23 | 3.373 | 0.6777 | 0.4363 | 0.5974 | — | — | — | — | — | — | |
| TSD-SR#Steps=1, Time (s)=0.147, MACs (G)=2700, #Param. (M)=21122025.08 | 0.2673 | — | 0.5808 | 0.1821 | 29.16 | 4.3224 | 71.69 | — | 0.7416 | — | — | — | — | — | — | |
| TSD-SRSteps=12026.04 | 0.2673 | 23.02 | 0.5808 | 0.1821 | 29.16 | 4.32 | 71.69 | 0.6192 | 0.7416 | — | — | — | — | — | — | |
| TSD-SRVenue=CVPR’25, Step strategy=Efficient / one-step2026.05 | 0.2673 | 23.87 | 0.5808 | 0.1821 | — | 4.3244 | 70.69 | 0.6192 | 0.7416 | — | — | — | — | — | — | |
| TSD-SRModel class=Diffusion model, used T2I prior, NFE=12025.03 | 0.2673 | 23.02 | 0.5808 | 0.1821 | 29.16 | 4.3244 | 71.69 | 0.6192 | 0.7416 | — | — | — | — | — | — | |
| TSDSRSteps=12024.12 | 0.2679 | 22.17 | 0.568 | 0.1901 | 103.49 | 4.6621 | 71.19 | 0.601 | 0.7221 | — | — | — | — | — | — | |
| TSDSR-1sDiffusion steps=1, NFEs=1, Scaling factor=x42026.03 | 0.2679 | 22.17 | — | — | 103.49 | 4.6621 | 71.19 | 0.601 | 0.7221 | — | — | — | — | — | — | |
| OFTSRSteps=1, teacher model=DiT4SR2024.12 | 0.2716 | 22.8 | 0.5774 | 0.1889 | 98.27 | 4.8399 | 70.25 | 0.6145 | 0.7233 | — | — | — | — | — | — | |
| FLUX-SRVenue=ICML’25, Step strategy=Efficient / one-step2026.05 | 0.2717 | 22.83 | 0.6177 | 0.1834 | — | 5.0626 | 69.92 | 0.6401 | 0.703 | — | — | — | — | — | — | |
| Real-ESRGANUpscaling Factor=x42026.01 | 0.2739 | 23.03 | 0.688 | 0.1276 | 21.97 | 3.758 | 0.6112 | 0.3536 | 0.496 | — | — | — | — | — | — | |
| TSD-SRmode=one-step, trained by authors=true2025.11 | 0.2759 | 24.68 | 0.6257 | 0.1894 | 25.45 | 4.6859 | 65.06 | 0.5935 | 0.6306 | 0.6252 | 3.692 | — | — | — | — | |
| LinearSRVenue=ICLR’26, Step strategy=Prior-based multi-step / flexible-step2026.05 | 0.2776 | 24.53 | 0.6349 | 0.2307 | — | 4.4854 | 70.14 | 0.4732 | 0.683 | — | — | — | — | — | — | |
| ASASR2026.05 | 0.2784 | 20.6 | 0.6171 | 0.2038 | — | — | 71.4 | 0.6519 | — | — | — | — | — | — | 0.7521 | |
| TinySR#Steps=1, Time (s)=0.026, MACs (G)=427, #Param. (M)=3412025.08 | 0.2793 | — | 0.5725 | 0.1883 | 22.44 | 4.15 | 69.9 | — | 0.7201 | — | — | — | — | — | — | |
| FlowSR#Steps=12026.05 | 0.2798 | 24.42 | 0.6192 | 0.1847 | 24.52 | 4.63 | 68.22 | 0.6193 | 0.6901 | — | — | — | — | — | — | |
| ICM-SRmode=one-step, trained by authors=true2025.11 | 0.2799 | 23.77 | 0.6173 | 0.1861 | 24.72 | 4.4411 | 68 | 0.6169 | 0.644 | 0.6138 | 4.2094 | — | — | — | — | |
| ICM-SRnumber of inferences=12025.11 | 0.2799 | 23.77 | 0.6173 | 0.1861 | 24.72 | 4.4411 | 68 | 0.6169 | 0.644 | — | — | — | — | — | — | |
| InvSRVenue=CVPR’25, Step strategy=Prior-based multi-step / flexible-step2026.05 | 0.2821 | 24.32 | 0.6309 | 0.2214 | — | 4.3428 | 69.46 | 0.4291 | 0.675 | — | — | — | — | — | — | |
| PiSA-SRModel class=Diffusion model, used T2I prior, NFE=12025.03 | 0.2823 | 23.87 | 0.6058 | 0.1934 | 25.09 | 4.5565 | 69.68 | 0.6375 | 0.6928 | — | — | — | — | — | — | |
| OSEDiffmode=one-step, trained by authors=true2025.11 | 0.2847 | 23.4 | 0.616 | 0.1905 | 26.15 | 4.4918 | 67.73 | 0.6081 | 0.6394 | 0.6014 | 4.1704 | — | — | — | — | |
| AdcSR#Steps=1, Time (s)=0.048, MACs (G)=1049, #Param. (M)=4562025.08 | 0.2853 | — | 0.6017 | 0.1899 | 25.52 | 4.358 | 68 | — | 0.6764 | — | — | — | — | — | — | |
| AdcSRModel class=Diffusion model, used T2I prior, NFE=12025.03 | 0.2853 | 23.74 | 0.6017 | 0.1899 | 25.52 | 4.3579 | 68 | 0.6073 | 0.6764 | — | — | — | — | — | — | |
| Allo{SR}2Steps=12026.04 | 0.2854 | 22.98 | 0.6123 | 0.1964 | 24.94 | 4.18 | 72 | 0.6432 | 0.6837 | — | — | — | — | — | — | |
| RSDModel class=Diffusion model, no T2I prior, NFE=12025.03 | 0.2857 | 23.91 | 0.6042 | 0.194 | 34.84 | 5.1987 | 68.05 | 0.5937 | 0.6967 | — | — | — | — | — | — | |
| RSDT2I prior=no, Number of Parameters=< 180M params, NFE=12025.03 | 0.2857 | 23.91 | 0.6042 | 0.194 | 34.84 | 5.1987 | 68.05 | 0.5937 | 0.6967 | — | — | — | — | — | — | |
| OSEDiffSteps=12024.12 | 0.2896 | 23.86 | 0.6233 | 0.1999 | 100.53 | 4.9741 | 68.53 | 0.6111 | 0.6692 | — | — | — | — | — | — | |
| OSEDiff-1sDiffusion steps=1, NFEs=1, Scaling factor=x42026.03 | 0.2896 | 23.86 | — | — | 100.53 | 4.9741 | 68.53 | 0.6111 | 0.6692 | — | — | — | — | — | — | |
| GDPO-SR2026.03 | 0.2897 | 23.92 | 0.6117 | 0.1965 | 26.44 | — | 68.8 | 0.6423 | 0.6929 | — | — | — | — | 41.56 | — | |
| OSEDiffdiffusion reverse steps=12024.06 | 0.2941 | 23.72 | 0.6108 | 0.1976 | 26.32 | 4.7097 | 67.97 | 0.6148 | 0.6683 | — | — | — | — | — | — | |
| OSEDiff2026.03 | 0.2941 | 23.72 | 0.6108 | 0.1976 | 26.32 | — | 67.97 | 0.6148 | 0.6683 | — | — | — | — | 44.69 | — | |
| OSEDiffSteps=12026.04 | 0.2941 | 23.72 | 0.6108 | 0.1976 | 26.32 | 4.71 | 67.97 | 0.6148 | 0.6683 | — | — | — | — | — | — | |
| OSEDiff#Steps=12026.05 | 0.2941 | 23.72 | 0.6108 | 0.1976 | 26.32 | 4.71 | 67.97 | 0.6148 | 0.6683 | — | — | — | — | — | — | |
| OSEDiffVenue=NeurIPS’24, Step strategy=Efficient / one-step2026.05 | 0.2941 | 23.72 | 0.6109 | 0.1976 | — | 4.7097 | 67.96 | 0.6131 | 0.6681 | — | — | — | — | — | — | |
| OSEDiffModel class=Diffusion model, used T2I prior, NFE=12025.03 | 0.2941 | 23.72 | 0.6108 | 0.1976 | 26.32 | 4.7097 | 67.97 | 0.6148 | 0.6683 | — | — | — | — | — | — | |
| OSEDiffT2I prior=yes, Number of Parameters=> 1.7B params, NFE=12025.03 | 0.2941 | 23.72 | 0.6108 | 0.1976 | 26.32 | 4.7097 | 67.97 | 0.6148 | 0.6683 | — | — | — | — | — | — | |
| OSEDiff#Steps=1, Time (s)=0.168, MACs (G)=2269, #Param. (M)=17612025.08 | 0.2942 | — | 0.6109 | 0.1975 | 26.34 | 4.7089 | 67.31 | — | 0.6681 | — | — | — | — | — | — | |
| OSEDiffInference steps=12026.04 | 0.2942 | 22.06 | 0.5735 | — | 26.34 | 4.711 | 67.96 | 0.441 | 0.668 | — | 4.117 | 3.926 | — | — | — | |
| AlignVARCategory=VAR-based2026.02 | 0.2955 | 24.35 | 0.6021 | 0.2162 | 25.71 | — | 67.32 | 0.4665 | 0.6754 | — | — | — | — | — | — | |
| MFSR-2sDiffusion steps=2, NFEs=2, Scaling factor=x42026.03 | 0.2965 | 21.49 | — | — | 106.09 | 4.8895 | 68.34 | 0.6364 | 0.6906 | — | — | — | — | — | — | |
| CCSRModel class=Diffusion model, used T2I prior, NFE=12025.03 | 0.2979 | 24.3 | 0.6283 | 0.202 | 30.86 | 5.3367 | 69.52 | 0.6145 | 0.6752 | — | — | — | — | — | — | |
| VARSRCategory=VAR-based2026.02 | 0.2985 | 24.41 | 0.6189 | 0.2167 | 28.64 | — | 66.88 | 0.4137 | 0.6312 | — | — | — | — | — | — | |
| StrSR - FType=One-step Diffusion, Scale=x4, Implementation=FLUX2026.03 | 0.2992 | 21.7 | 0.5982 | 0.1288 | — | 3.0379 | 63.6568 | 0.5864 | — | — | — | 4.4763 | 0.7022 | — | — | |
| CTMSRSteps=12024.12 | 0.3011 | 24.87 | 0.6349 | 0.2102 | 126.49 | 5.3036 | 66.59 | 0.5146 | 0.6602 | — | — | — | — | — | — | |
| CTMSR-1sDiffusion steps=1, NFEs=1, Scaling factor=x42026.03 | 0.3011 | 24.87 | — | — | 126.49 | 5.3036 | 66.59 | 0.5146 | 0.6602 | — | — | — | — | — | — | |
| CTMSRSteps=12026.04 | 0.3011 | 24.87 | 0.6349 | 0.2102 | 25.07 | 5.3036 | 66.59 | 0.5146 | 0.6602 | — | — | — | — | — | — | |
| StableSR2026.05 | 0.3016 | 19.93 | 0.5528 | 0.204 | — | — | 66.3 | 0.4224 | — | — | — | — | — | — | 0.6702 | |
| CTMSRModel class=Diffusion model, no T2I prior, NFE=12025.03 | 0.3026 | 24.88 | 0.6265 | 0.204 | 34.15 | 5.1146 | 65.62 | 0.5165 | 0.6601 | — | — | — | — | — | — | |
| CTMSRT2I prior=no, Number of Parameters=< 180M params, NFE=12025.03 | 0.3026 | 24.88 | 0.6265 | 0.204 | 34.15 | 5.1146 | 65.62 | 0.5165 | 0.6601 | — | — | — | — | — | — | |
| InvSR2026.03 | 0.3045 | 23.1 | 0.5985 | 0.1985 | 28.45 | — | 68.43 | 0.6406 | 0.7118 | — | — | — | — | 37.51 | — | |
| InvSRModel class=Diffusion model, used T2I prior, NFE=12025.03 | 0.3045 | 23.1 | 0.5985 | 0.1985 | 28.45 | 4.7056 | 68.43 | 0.6385 | 0.7117 | — | — | — | — | — | — | |
| AdcSRVenue=CVPR’25, Step strategy=Efficient / one-step2026.05 | 0.3073 | 23.78 | 0.6023 | 0.2007 | — | 4.6631 | 69.66 | 0.63 | 0.6765 | — | — | — | — | — | — | |
| SANA-SRStep strategy=Efficient / one-step2026.05 | 0.3075 | 24.92 | 0.6429 | 0.1817 | — | 4.1354 | 71.32 | 0.6412 | 0.7005 | — | — | — | — | — | — | |
| D3SRVenue=NeurIPS’25, Step strategy=Efficient / one-step2026.05 | 0.3076 | 21.95 | 0.6037 | 0.1913 | — | 4.458 | 70.35 | 0.6271 | 0.6828 | — | — | — | — | — | — | |
| ResShiftnumber of inferences=152025.11 | 0.3077 | 24.59 | 0.6232 | 0.2136 | 30.79 | 6.9152 | 58.89 | 0.5283 | 0.5717 | — | — | — | — | — | — | |
| ResShiftInference steps=152026.04 | 0.3077 | 22.66 | 0.5888 | — | 30.81 | 6.916 | 58.9 | 0.3693 | 0.5715 | — | 3.082 | 3.309 | — | — | — | |
| StableSR#Steps=200, Time (s)=12.731, MACs (G)=79940, #Param. (M)=14102025.08 | 0.3111 | — | 0.5722 | 0.2046 | 24.95 | 4.7737 | 65.78 | — | 0.6764 | — | — | — | — | — | — | |
| Real-ESRGAN# Parameters=16.70M, Latency/Image=0.08s2024.09 | 0.3112 | 24.29 | 0.6338 | — | — | — | 61.06 | 0.3795 | 0.5276 | 0.5294 | — | — | — | — | — | |
| R-ESRGAN+2025.05 | 0.3112 | 24.29 | 0.6372 | — | 37.64 | — | — | — | — | — | — | — | — | — | — | |
| Real-ESRGANModel class=GANs, NFE=12025.03 | 0.3112 | 24.29 | 0.6371 | 0.2141 | 37.64 | 4.6786 | 61.06 | 0.5501 | 0.5277 | — | — | — | — | — | — | |
| StableSRdiffusion reverse steps=2002024.06 | 0.3113 | 23.26 | 0.5726 | 0.2048 | 24.44 | 4.7581 | 65.92 | 0.6192 | 0.6771 | — | — | — | — | — | — | |
| StableSR2026.03 | 0.3113 | 23.26 | 0.5726 | 0.2048 | 24.44 | — | 65.92 | 0.619 | 0.6771 | — | — | — | — | 49.31 | — | |
| StableSR#Steps=2002026.05 | 0.3113 | 23.26 | 0.5726 | 0.2048 | 24.44 | 4.76 | 65.92 | 0.6192 | 0.6771 | — | — | — | — | — | — | |
| StableSRVenue=IJCV’24, Step strategy=Prior-based multi-step / flexible-step2026.05 | 0.3113 | 23.26 | 0.5726 | 0.2048 | — | 4.7581 | 65.92 | 0.6192 | 0.6771 | — | — | — | — | — | — | |
| StableSRModel class=Diffusion model, used T2I prior, NFE=2002025.03 | 0.3113 | 23.26 | 0.5726 | 0.2048 | 24.44 | 4.7581 | 65.92 | 0.6192 | 0.6771 | — | — | — | — | — | — | |
| StableSRNFE=200, # Parameters=1409.1M, Latency/Image=18.90s2024.09 | 0.3114 | 23.36 | 0.5654 | — | — | — | 65.92 | 0.4193 | 0.6771 | 0.5974 | — | — | — | — | — | |
| StableSRnumber of inferences=2002025.11 | 0.3114 | 23.26 | 0.5726 | 0.2048 | 24.44 | 4.7581 | 65.92 | 0.619 | 0.6771 | — | — | — | — | — | — | |
| StableSRsampling steps=2002025.05 | 0.3114 | 23.26 | 0.5726 | — | 24.44 | — | — | — | — | — | — | — | — | — | — | |
| FeMaSR2025.05 | 0.3126 | 22.97 | 0.5887 | — | 35.87 | — | — | — | — | — | — | — | — | — | — | |
| FeMASRModel class=GANs, NFE=12025.03 | 0.3126 | 23.06 | 0.5887 | 0.2057 | 35.87 | 4.741 | 60.83 | 0.5074 | 0.5997 | — | — | — | — | — | — | |
| StableSRSteps=2002026.04 | 0.3129 | 23.31 | 0.5728 | 0.2138 | 24.67 | 4.76 | 65.63 | 0.6188 | 0.6682 | — | — | — | — | — | — | |
| DP2O-SR2026.05 | 0.313 | 19.6 | 0.5064 | 0.2042 | — | — | 70.58 | 0.581 | — | — | — | — | — | — | 0.7142 | |
| VARestorerInference steps=12026.04 | 0.3131 | 21.08 | 0.5355 | — | 31.11 | 4.41 | 72.32 | 0.559 | 0.7669 | — | 4.664 | 4.363 | — | — | — | |
| MFSR-1sDiffusion steps=1, NFEs=1, Scaling factor=x42026.03 | 0.3143 | 21.25 | — | — | 111.45 | 4.5831 | 69.3 | 0.6256 | 0.7199 | — | — | — | — | — | — | |
| Real-ESRGAN2026.05 | 0.3147 | 21.11 | 0.587 | 0.2191 | — | — | 61.24 | 0.3726 | — | — | — | — | — | — | 0.6126 | |
| SeeSR2026.03 | 0.316 | 23.82 | 0.6096 | 0.1971 | 25.42 | — | 68.5 | 0.6187 | 0.6893 | — | — | — | — | 42.18 | — | |
| SinSRSteps=12024.12 | 0.3164 | 24.5 | 0.6136 | 0.211 | 131.96 | 6.1721 | 64.26 | 0.5442 | 0.6687 | — | — | — | — | — | — | |
| SinSR-1sDiffusion steps=1, NFEs=1, Scaling factor=x42026.03 | 0.3164 | 24.5 | — | — | 131.96 | 6.1721 | 64.26 | 0.5442 | 0.6687 | — | — | — | — | — | — | |
| H-VARMethod Category=AR-based2026.05 | 0.317 | 23.84 | 0.601 | — | 28.86 | — | 69.4 | — | — | — | — | — | — | — | — | |
| UPSRCategory=Diffusion-based2026.02 | 0.3173 | 24.87 | 0.6294 | 0.2132 | 39.48 | — | 62.38 | 0.3635 | 0.5748 | — | — | — | — | — | — | |
| VARSRInference steps=102026.04 | 0.3177 | 22.41 | 0.5724 | — | 33.86 | 5.977 | 71.48 | 0.5173 | 0.733 | — | 4.282 | 3.853 | — | — | — | |
| FaithDiff2026.05 | 0.3189 | 19.82 | 0.5167 | 0.2083 | — | — | 70.59 | 0.4349 | — | — | — | — | — | — | 0.6767 | |
| DreamClearVenue=NeurIPS’24, Step strategy=Prior-based multi-step / flexible-step2026.05 | 0.3189 | 22.03 | 0.5415 | 0.1719 | — | 5.3126 | 68.44 | 0.632 | 0.6725 | — | — | — | — | — | — | |
| SeeSRInference steps=502026.04 | 0.3193 | 21.97 | 0.5673 | — | 25.9 | 4.808 | 68.67 | 0.5036 | 0.6936 | — | 4.274 | 4.035 | — | — | — |