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Inpainting on CelebA

36.84PSNRProjDiff
6.78414.58722.3930.193Dec 1, 2022Jul 4, 2023Feb 4, 2024Sep 7, 2024Apr 10, 2025Nov 11, 2025Jun 15, 2026

Evaluation results

MethodLinks
ProjDiffNFEs=1002024.0636.840.9612.276.66—
DDNMNFEs=1002024.0636.320.9612.456.86—
IGDMNFEs=1002024.0636.310.9624.278.71—
DPSNFEs=10002024.0636.020.9524.738.79—
DiffPIRNFEs=1002024.0635.960.9514.677.85—
DDRMNFEs=1002024.0635.770.9521.629.03—
DDNMmode=zero-shot2022.1235.640.9824.54——
RePaintmode=zero-shot2022.1235.20.98114.19——
ResampleNFEs=1002024.06350.9330.8713.03—
DDRMmode=zero-shot2022.1234.790.97812.53——
AdamSpherePrior Type=In-domain2026.0133.7840.915—0.147—
AdamSphereSource Model=CelebA2026.0133.780.91—0.15—
ProjDiffNFEs=100, Noise Level (sigma)=0.052024.0633.430.9131.4315.33—
ResampleNFEs=100, Noise Level (sigma)=0.052024.0633.110.931.3815.97—
DDRMNFEs=100, Noise Level (sigma)=0.052024.0632.810.935.2816.78—
DPSNFEs=1000, Noise Level (sigma)=0.052024.0632.80.932.816.32—
DDNM+NFEs=100, Noise Level (sigma)=0.052024.0632.80.935.1316.8—
DMplugPrior Type=In-domain2026.0132.7780.892—0.189—
AdamSphereSource Model=Bedroom2026.0132.760.9—0.17—
IGDMNFEs=100, Noise Level (sigma)=0.052024.0632.680.931.5416.02—
AdamSphereSource Model=Church2026.0132.620.9—0.16—
DMPSNFEs=1002024.0632.30.8931.318.58—
DMPSNFEs=100, Noise Level (sigma)=0.052024.0632.180.8723.8818.77—
DPSSource Model=In-domain2026.0131.980.88—0.14—
D-Flow2026.0630.74——0.02548.9
DiffPIRNFEs=100, Noise Level (sigma)=0.052024.0629.710.7432.1127.14—
Flow Priors2026.0629.65——0.05812.27
UnSCARTraining=Jointly trained on all tasks2026.0327.780.97—0.08—
PnP-Flow2026.0627.61——0.13652.23
OT-ODE2026.0627.57——0.058.29
SP32026.0627.23——0.052234.38
InstructIRTraining=Jointly trained on all tasks2026.0327.120.91—0.15—
OneRestoreTraining=Jointly trained on all tasks2026.0327.010.91—0.16—
DDRM2026.0626.8——0.08968.42
NAFNetTraining=Jointly trained on all tasks2026.0326.640.89—0.15—
DPS2026.0625.14——0.05516.16
PromptIRTraining=Jointly trained on all tasks2026.0323.250.88—0.21—
AwRaCleTraining=Jointly trained on all tasks2026.0322.990.88—0.24—
PnP-GS2026.0622.97——0.155128.87
DiffPIR2026.0622.61——0.10574.04
RestormerTraining=Jointly trained on all tasks2026.0322.030.85—0.28—
AdaIRTraining=Jointly trained on all tasks2026.0318.040.78—0.39—
A^T ymode=zero-shot2022.1215.570.809181.56——
DPIR2026.0614.88——0.25121.67
RED2026.0614.85——0.261136.61
A y2024.0613.960.25230.6175.54—
A†yNoise Level (sigma)=0.052024.0613.70.19226.2876.07—
RED-diffNFEs=100, Noise Level (sigma)=0.052024.067.960.18192.3278.27—
RED-diffNFEs=1002024.067.940.18192.0778.23—