Image Super-Resolution on DrealSR
71.84MUSIQDTPSR
Evaluation results
| Method | Links | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DTPSR2026.03 | 71.84 | — | — | — | — | — | — | 60.21 | 0.7278 | — | — | — | — | |
| DTPSR-Ccorrupted textual descriptions=True, corruption method=randomly replacing part of the words with None2026.03 | 71.64 | — | — | — | — | — | — | 58.55 | 0.7061 | — | — | — | — | |
| NADBNFE=402026.05 | 71.48 | — | — | 0.315 | — | — | — | 0.483 | 0.576 | 3.61 | — | — | — | |
| SCR2026.02 | 70.27 | 25.34 | 72.19 | — | 0.2149 | — | 5.2387 | 0.6689 | 0.6718 | — | — | — | — | |
| SeeSR2026.03 | 69.82 | — | — | — | — | — | — | 54.37 | 0.6701 | — | — | — | — | |
| VARestorerInference steps=12026.04 | 69.49 | 24.31 | 68.94 | 0.3584 | — | 149.7 | 5.494 | 0.5638 | 0.781 | 4.582 | — | 4.188 | — | |
| FaithDiff2026.03 | 68.99 | — | — | — | — | — | — | 46.44 | 0.6126 | — | — | — | — | |
| DiffBIR2026.03 | 68.86 | — | — | — | — | — | — | 55.89 | 0.703 | — | — | — | — | |
| VARSRMethod Category=AR-based2026.05 | 68.15 | 28.16 | 76.5 | 0.354 | — | 155.9 | — | — | — | — | — | — | — | |
| VARSRInference steps=102026.04 | 68.14 | 26.05 | 73.53 | 0.3536 | — | 156.5 | 6.971 | 0.5361 | 0.7215 | 4.137 | — | 3.48 | — | |
| VARSR2025.06 | 68.0896 | 28.15 | 76.54 | 0.354 | 0.2525 | 157.59 | 6.8709 | 0.5961 | 0.7196 | — | 0.7302 | — | — | |
| H-VARMethod Category=AR-based2026.05 | 67.65 | 28.73 | 78.8 | 0.259 | — | 145.1 | — | — | — | — | — | — | — | |
| ResShiftMethod Category=Diffusion-based2026.05 | 67.59 | 28.46 | 76.7 | 0.401 | — | 159.8 | — | — | — | — | — | — | — | |
| TADSR2025.08 | 67.016 | 28.387 | 77.58 | 0.3235 | — | — | — | 0.6309 | 0.7398 | — | 0.6758 | 3.7491 | — | |
| TSD-SRModel class=Diffusion model, used T2I prior, NFE=12025.03 | 66.62 | 27.77 | 75.59 | 0.2967 | 0.2136 | 134.98 | 5.9131 | 0.5874 | 0.7343 | — | — | — | — | |
| CCSRModel class=Diffusion model, used T2I prior, NFE=12025.03 | 66.28 | 28.24 | 78.18 | 0.3201 | 0.2327 | 157.23 | 6.7901 | 0.6056 | 0.6632 | — | — | — | — | |
| AdcSRModel class=Diffusion model, used T2I prior, NFE=12025.03 | 66.27 | 28.1 | 77.26 | 0.3046 | 0.22 | 134.05 | 6.4467 | 0.5916 | 0.7049 | — | — | — | — | |
| AdcSR2025.08 | 66.266 | 28.099 | 77.26 | 0.3046 | — | — | — | 0.5915 | 0.7049 | — | 0.6527 | 3.652 | — | |
| DiffBIRnumber of inferences=502025.11 | 66.15 | 25.91 | 62.45 | 0.4669 | 0.2882 | 180.52 | 6.3293 | 0.623 | 0.7068 | — | — | — | — | |
| DiffBIRInference steps=502026.04 | 66.14 | 24.05 | 58.31 | 0.4669 | — | 180.4 | 6.329 | 0.5543 | 0.7072 | 4.101 | — | 3.734 | — | |
| TSDSR2025.08 | 66.12 | 26.2 | 71.7 | 0.3116 | — | — | — | 0.582 | 0.7309 | — | 0.6251 | 3.6928 | — | |
| PisaSR2025.08 | 66.113 | 28.318 | 78.04 | 0.296 | — | — | — | 0.616 | 0.6971 | — | 0.6333 | 3.5838 | — | |
| TSDSR-1sDiffusion steps=1, NFEs=1, Scaling factor=x42026.03 | 66.11 | 26.19 | — | 0.3116 | — | 130.7 | 5.7643 | 0.582 | 0.7303 | — | — | — | — | |
| PiSA-SRModel class=Diffusion model, used T2I prior, NFE=12025.03 | 66.11 | 28.32 | 78.04 | 0.296 | 0.2169 | 130.61 | 6.1766 | 0.6161 | 0.6968 | — | — | — | — | |
| ICM-SRnumber of inferences=12025.11 | 65.96 | 26.85 | 77.63 | 0.2871 | 0.2142 | 125.3 | 6.4163 | 0.6051 | 0.6929 | — | — | — | — | |
| DiffBIR2025.08 | 65.667 | 25.929 | 65.26 | 0.4518 | — | — | — | 0.6289 | 0.6863 | — | 0.6149 | 3.6011 | — | |
| GDPO-SR2026.03 | 65.63 | 28.18 | 78.39 | 0.2851 | 0.2112 | 138.87 | — | 0.618 | 0.702 | — | — | — | 18.72 | |
| AddSRnumber of inferences=42025.11 | 65.23 | 26.66 | 74.06 | 0.3709 | 0.2662 | 169.34 | 7.9004 | 0.6014 | 0.7153 | — | — | — | — | |
| SeeSRInference steps=502026.04 | 65.09 | 25.82 | 74.05 | 0.3174 | — | 147.3 | 6.407 | 0.5128 | 0.6905 | 4.126 | — | 3.754 | — | |
| SeeSR2025.08 | 65.08 | 28.073 | 76.84 | 0.3173 | — | — | — | 0.6051 | 0.6909 | — | 0.6575 | 3.5882 | — | |
| SeeSR2026.03 | 65.08 | 28.07 | 76.84 | 0.3174 | 0.2315 | 147.39 | — | 0.6054 | 0.6905 | — | — | — | 22.79 | |
| RealSR-R12025.06 | 64.9527 | 24.61 | 57.97 | 0.4861 | 0.2803 | 171.56 | 5.8207 | 0.6188 | 0.7241 | — | 0.7319 | — | — | |
| DiT4SRNFE=402026.05 | 64.95 | — | — | 0.365 | — | — | — | 0.627 | 0.548 | 3.964 | — | — | — | |
| SeeSR2023.11 | 64.93 | 28.17 | 76.91 | 0.3189 | 0.2315 | 147.39 | 6.3967 | 0.6042 | 0.6804 | — | — | — | — | |
| SeeSRdiffusion reverse steps=502024.06 | 64.93 | 28.17 | 76.91 | 0.3189 | 0.2315 | 147.39 | 6.3967 | 0.6042 | 0.6804 | — | — | — | — | |
| SeeSR2026.01 | 64.93 | 28.17 | 76.91 | 0.3189 | 0.2315 | — | — | 0.6042 | 0.6804 | — | — | — | — | |
| SeeSR2025.06 | 64.93 | 28.17 | 76.91 | 0.3189 | 0.2315 | 147.39 | 6.3967 | 0.6042 | 0.6804 | — | 0.7026 | — | — | |
| SeeSRModel class=Diffusion model, used T2I prior, NFE=502025.03 | 64.93 | 28.17 | 76.91 | 0.3189 | 0.2315 | 147.39 | 6.3967 | 0.6042 | 0.6804 | — | — | — | — | |
| InvSR2026.03 | 64.92 | 25.79 | 71.76 | 0.3471 | 0.2381 | 166.42 | — | 0.6212 | 0.6918 | — | — | — | 21.69 | |
| InvSRModel class=Diffusion model, used T2I prior, NFE=12025.03 | 64.92 | 25.79 | 71.76 | 0.3471 | 0.2381 | 166.51 | 5.8627 | 0.6212 | 0.7185 | — | — | — | — | |
| PASDdiffusion reverse steps=202024.06 | 64.87 | 27.36 | 70.73 | 0.376 | 0.2531 | 156.13 | 5.5474 | 0.6169 | 0.6808 | — | — | — | — | |
| PASD2026.03 | 64.87 | 27.36 | 70.73 | 0.376 | 0.2531 | 156.13 | — | 0.616 | 0.6808 | — | — | — | 33.89 | |
| PASD2025.06 | 64.87 | 27.36 | 70.73 | 0.376 | 0.2531 | 156.13 | 5.5474 | 0.6169 | 0.6808 | — | 0.6398 | — | — | |
| PASDModel class=Diffusion model, used T2I prior, NFE=202025.03 | 64.87 | 27.36 | 70.73 | 0.376 | 0.2531 | 156.13 | 5.5474 | 0.6169 | 0.6808 | — | — | — | — | |
| PASD2023.11 | 64.81 | 27 | 70.84 | 0.3931 | 0.2515 | 159.24 | 5.8595 | 0.585 | 0.6773 | — | — | — | — | |
| PASD2026.01 | 64.81 | 27 | 70.84 | 0.3931 | 0.2515 | — | — | 0.585 | 0.6773 | — | — | — | — | |
| SeeSRMethod Category=Diffusion-based2026.05 | 64.75 | 28.13 | 77.1 | 0.314 | — | 147 | — | — | — | — | — | — | — | |
| SeeSRnumber of inferences=502025.11 | 64.74 | 28.14 | 77.11 | 0.3142 | 0.2299 | 146.85 | 6.4825 | 0.6005 | 0.6895 | — | — | — | — | |
| OSEDiff2025.08 | 64.691 | 27.915 | 78.33 | 0.2968 | — | — | — | 0.5903 | 0.6974 | — | 0.6002 | 3.545 | — | |
| FPQuantization Precision=Full Precision, Backbone=DiT4SR, Scaling Factor=x42026.02 | 64.69 | — | — | 0.3897 | — | — | — | 0.4483 | 0.5555 | 4.031 | — | — | — | |
| OSEDiffInference steps=12026.04 | 64.69 | 25.85 | 75.48 | 0.2966 | — | 135.4 | 6.464 | 0.4657 | 0.6962 | 3.939 | — | 3.746 | — | |
| OSEDiff-1sDiffusion steps=1, NFEs=1, Scaling factor=x42026.03 | 64.67 | 27.92 | — | 0.2966 | — | 135.39 | 6.4381 | 0.5898 | 0.6959 | — | — | — | — | |
| OSEDiffType=One-step Diffusion2024.06 | 64.66 | 27.92 | 78.35 | 0.2968 | 0.2165 | 135.3 | 6.4902 | 0.5899 | 0.6963 | — | — | — | — | |
| OSEDiffdiffusion reverse steps=12024.06 | 64.65 | 27.92 | 78.35 | 0.2968 | 0.2165 | 135.3 | 6.4902 | 0.5899 | 0.6963 | — | — | — | — | |
| OSEDiff2026.03 | 64.65 | 27.92 | 78.35 | 0.2968 | 0.2165 | 135.3 | — | 0.5899 | 0.6963 | — | — | — | 21.39 | |
| Osediff2025.06 | 64.65 | 27.92 | 78.35 | 0.2968 | 0.2165 | 135.3 | 6.4902 | 0.5899 | 0.6963 | — | 0.6758 | — | — | |
| OSEDiffModel class=Diffusion model, used T2I prior, NFE=12025.03 | 64.65 | 27.92 | 78.35 | 0.2968 | 0.2165 | 135.3 | 6.4902 | 0.5899 | 0.6963 | — | — | — | — | |
| SUPIR2026.01 | 64.53 | 24.41 | 66.96 | 0.3844 | 0.2448 | — | — | 0.457 | 0.58 | — | — | — | — | |
| MFSR-1sDiffusion steps=1, NFEs=1, Scaling factor=x42026.03 | 64.47 | 24.15 | — | 0.366 | — | 143.12 | 6.0241 | 0.6148 | 0.7171 | — | — | — | — | |
| MFSR-2sDiffusion steps=2, NFEs=2, Scaling factor=x42026.03 | 64.45 | 24.29 | — | 0.3689 | — | 139.56 | 6.2711 | 0.6354 | 0.7023 | — | — | — | — | |
| Q-DiT4SRQuantization Precision=W4A6, Backbone=DiT4SR, Scaling Factor=x42026.02 | 64.32 | — | — | 0.388 | — | — | — | 0.4378 | 0.5492 | 3.93 | — | — | — | |
| S3Diff2025.08 | 63.941 | 27.539 | 74.91 | 0.3109 | — | — | — | 0.6124 | 0.7131 | — | 0.604 | 3.6148 | — | |
| S3Diff-1sDiffusion steps=1, NFEs=2, CFG=true, Scaling factor=x42026.03 | 63.94 | 27.53 | — | 0.3109 | — | 118.49 | 6.2142 | 0.6124 | 0.7132 | — | — | — | — | |
| AlignVARCategory=VAR-based2026.02 | 63.83 | 28.54 | 76.82 | 0.3184 | 0.234 | 145.44 | — | 0.4685 | 0.6534 | — | — | — | — | |
| PASDCategory=Diffusion-based2026.02 | 63.69 | 27.45 | 75.39 | 0.3331 | 0.2322 | 173.4 | — | 0.4551 | 0.6365 | — | — | — | — | |
| PURE2025.06 | 63.24 | 24.39 | 60.84 | 0.4615 | 0.2756 | 174.16 | 6.3894 | 0.5924 | 0.6789 | — | 0.7121 | — | — | |
| PASDnumber of inferences=202025.11 | 63.23 | 27.79 | 74.95 | 0.3579 | 0.2524 | 171.03 | 6.7661 | 0.5919 | 0.6242 | — | — | — | — | |
| BSRGAN2026.02 | 63.21 | 26.39 | 76.54 | — | 0.2121 | — | 5.6567 | 0.5399 | 0.5001 | — | — | — | — | |
| VARSRCategory=VAR-based2026.02 | 62.66 | 28.84 | 77.35 | 0.3102 | 0.2311 | 141.99 | — | 0.4225 | 0.6395 | — | — | — | — | |
| PASDInference steps=202026.04 | 62.34 | 26.14 | 74.66 | 0.3081 | — | 164.1 | 6.126 | 0.4404 | 0.6293 | 3.603 | — | 3.572 | — | |
| RSDModel class=Diffusion model, no T2I prior, NFE=12025.03 | 62.03 | 27.4 | 75.59 | 0.3042 | 0.2343 | 167.47 | 6.2577 | 0.5625 | 0.7019 | — | — | — | — | |
| Q-DiT4SRQuantization Precision=W4A4, Backbone=DiT4SR, Scaling Factor=x42026.02 | 61.86 | — | — | 0.4327 | — | — | — | 0.403 | 0.4894 | 3.197 | — | — | — | |
| SVDQuantQuantization Precision=W4A6, Backbone=DiT4SR, Scaling Factor=x42026.02 | 61.51 | — | — | 0.3829 | — | — | — | 0.3931 | 0.4885 | 3.344 | — | — | — | |
| DiffBIR2023.11 | 61.19 | 26.76 | 65.72 | 0.4599 | 0.2749 | 166.79 | 6.2935 | 0.5923 | 0.6346 | — | — | — | — | |
| DiffBIR2026.01 | 61.19 | 26.76 | 65.76 | 0.4599 | 0.2749 | — | — | 0.5923 | 0.6346 | — | — | — | — | |
| QuaRotQuantization Precision=W4A6, Backbone=DiT4SR, Scaling Factor=x42026.02 | 61.09 | — | — | 0.3925 | — | — | — | 0.3875 | 0.4876 | 3.275 | — | — | — | |
| DiffBIRdiffusion reverse steps=502024.06 | 61.07 | 26.71 | 65.71 | 0.4557 | 0.2748 | 166.79 | 6.3124 | 0.593 | 0.6395 | — | — | — | — | |
| DiffBIR2026.03 | 61.07 | 26.71 | 65.71 | 0.4557 | 0.2748 | 166.79 | — | 0.5927 | 0.6395 | — | — | — | 39.42 | |
| DiffBIR2025.06 | 61.07 | 26.71 | 65.71 | 0.4557 | 0.2748 | 166.79 | 6.3124 | 0.593 | 0.6395 | — | 0.6899 | — | — | |
| DiffBIRModel class=Diffusion model, used T2I prior, NFE=502025.03 | 61.07 | 26.71 | 65.71 | 0.4557 | 0.2748 | 166.79 | 6.3124 | 0.593 | 0.6395 | — | — | — | — | |
| DiffBIRCategory=Diffusion-based2026.02 | 61.06 | 26.57 | 65.16 | 0.4537 | 0.2724 | 160.67 | — | 0.4602 | 0.6445 | — | — | — | — | |
| DiffBIRMethod Category=Diffusion-based2026.05 | 61.06 | 26.57 | 65.2 | 0.454 | — | 160.7 | — | — | — | — | — | — | — | |
| AddSR-1sDiffusion steps=1, NFEs=1, Scaling factor=x42026.03 | 60.85 | 27.77 | — | 0.3196 | — | 150.18 | 6.9321 | 0.549 | 0.6188 | — | — | — | — | |
| LDL2026.02 | 60.82 | 25.28 | 75.67 | — | 0.2121 | — | 6.0024 | 0.5485 | 0.4477 | — | — | — | — | |
| SVDQuantQuantization Precision=W4A4, Backbone=DiT4SR, Scaling Factor=x42026.02 | 60.65 | — | — | 0.3821 | — | — | — | 0.3768 | 0.4727 | 3.154 | — | — | — | |
| Real-ESRGAN2026.02 | 60.18 | 25.69 | 76.16 | — | 0.2063 | — | 5.8295 | 0.5487 | 0.4449 | — | — | — | — | |
| PASD2026.03 | 59.99 | — | — | — | — | — | — | 39.39 | 0.4855 | — | — | — | — | |
| CTMSR-1sDiffusion steps=1, NFEs=1, Scaling factor=x42026.03 | 59.84 | 28.66 | — | 0.3232 | — | 162.29 | 6.1426 | 0.4865 | 0.6505 | — | — | — | — | |
| CTMSRModel class=Diffusion model, no T2I prior, NFE=12025.03 | 59.78 | 28.65 | 78.34 | 0.3238 | 0.2358 | 163.63 | 6.1828 | 0.4861 | 0.6497 | — | — | — | — | |
| EfficientDMQuantization Precision=W4A6, Backbone=DiT4SR, Scaling Factor=x42026.02 | 59.42 | — | — | 0.7049 | — | — | — | 0.5027 | 0.3985 | 2.057 | — | — | — | |
| SUPIRModel class=Diffusion model, used T2I prior, NFE=502025.03 | 59.39 | 24.93 | 63.6 | 0.4263 | 0.2823 | 164.86 | 7.4336 | 0.5537 | 0.6799 | — | — | — | — | |
| PTQ4DiTQuantization Precision=W4A4, Backbone=DiT4SR, Scaling Factor=x42026.02 | 59.26 | — | — | 0.697 | — | — | — | 0.4949 | 0.3968 | 1.96 | — | — | — | |
| FeMASR2026.02 | 58.95 | 25.07 | 73.58 | — | 0.2288 | — | 5.7885 | 0.4865 | 0.527 | — | — | — | — | |
| SUPIRnumber of inferences=502025.11 | 58.79 | 25.09 | 64.6 | 0.4243 | 0.2795 | 169.48 | 7.3918 | 0.5471 | 0.6749 | — | — | — | — | |
| BDG2026.01 | 58.7432 | 28.7961 | 80.39 | 0.3282 | 0.2774 | — | — | 0.4899 | 0.6053 | — | — | — | — | |
| StableSRCategory=Diffusion-based2026.02 | 58.72 | 27.87 | 74.27 | 0.3333 | 0.2297 | 148.18 | — | 0.3897 | 0.6321 | — | — | — | — | |
| StableSRMethod Category=Diffusion-based2026.05 | 58.72 | 27.87 | 74.3 | 0.333 | — | 148.2 | — | — | — | — | — | — | — | |
| StableSR2025.08 | 58.512 | 28.03 | 75.36 | 0.3284 | — | — | — | 0.5594 | 0.6356 | — | 0.5323 | 3.0614 | — | |
| StableSRdiffusion reverse steps=2002024.06 | 58.51 | 28.03 | 75.36 | 0.3284 | 0.2269 | 148.98 | 6.5239 | 0.5601 | 0.6356 | — | — | — | — | |
| StableSRnumber of inferences=2002025.11 | 58.51 | 28.03 | 75.36 | 0.3284 | 0.2269 | 148.95 | 6.5239 | 0.5586 | 0.6357 | — | — | — | — |