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ResearchFormerly WizWand

Super-Resolution on Liver

39.74PSNRDA-VSR
30.203232.679135.15537.6309Oct 11, 2022May 24, 2023Jan 5, 2024Aug 17, 2024Mar 31, 2025Nov 11, 2025Jun 25, 2026
Updated 4mo ago

Evaluation results

MethodLinks
DA-VSRScale=X4, Param=N/A2022.1039.740.983
DA-VSR^NAScale=X4, Param=3.0M2022.1039.480.981
SAINTScale=X4, Param=2.9M2022.1039.30.981
3D RDNScale=X4, Param=2.9M2022.1039.040.98
3D RCANScale=X4, Param=2.9M2022.1038.950.979
DA-VSRScale=X6, Param=N/A2022.1037.180.973
DA-VSR^NAScale=X6, Param=3.0M2022.1036.860.972
SAINTScale=X6, Param=2.9M2022.1036.760.971
3D RDNScale=X6, Param=3.3M2022.1036.670.97
3D RCANScale=X6, Param=3.0M2022.1036.620.97
BicubicScale=X4, Param=N/A2022.1034.560.955
DP-NSLScale=×5, Training scales=×2, ×3, ×42026.0633.720.9167
LTEScale=×5, Training scales=×2, ×3, ×42026.0633.110.9075
SAINRScale=×5, Training scales=×2, ×3, ×42026.0633.070.9077
DC2SRScale=×5, Training scales=×2, ×3, ×42026.0632.880.9051
CycleINRScale=×5, Training scales=×2, ×3, ×42026.0632.720.8976
MetaSRScale=×5, Training scales=×2, ×3, ×42026.0632.710.9006
ArSSRScale=×5, Training scales=×2, ×3, ×42026.0632.70.8993
BicubicScale=X6, Param=N/A2022.1032.550.935
DP-NSLScale=×6, Training scales=×2, ×3, ×42026.0632.550.9011
LTEScale=×6, Training scales=×2, ×3, ×42026.0632.130.8928
SAINRScale=×6, Training scales=×2, ×3, ×42026.0631.960.8923
DC2SRScale=×6, Training scales=×2, ×3, ×42026.0631.90.8888
MetaSRScale=×6, Training scales=×2, ×3, ×42026.0631.680.8821
DP-NSLScale=×7, Training scales=×2, ×3, ×42026.0631.680.8885
ArSSRScale=×6, Training scales=×2, ×3, ×42026.0631.610.8831
CycleINRScale=×6, Training scales=×2, ×3, ×42026.0631.530.8824
LTEScale=×7, Training scales=×2, ×3, ×42026.0631.390.8812
SAINRScale=×7, Training scales=×2, ×3, ×42026.0631.220.881
DC2SRScale=×7, Training scales=×2, ×3, ×42026.0631.160.8772
HIIFScale=×5, Training scales=×2, ×3, ×42026.0631.140.8202
MetaSRScale=×7, Training scales=×2, ×3, ×42026.0631.020.8723
ArSSRScale=×7, Training scales=×2, ×3, ×42026.0630.920.8717
CycleINRScale=×7, Training scales=×2, ×3, ×42026.0630.920.8718
HIIFScale=×7, Training scales=×2, ×3, ×42026.0630.850.8564
HIIFScale=×6, Training scales=×2, ×3, ×42026.0630.570.8213