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Reference-based Image Super-Resolution on CUFED5 (test)

27.54Average PSNRDATSR-rec
25.137625.761326.38527.0087Jul 25, 2022Oct 5, 2022Dec 16, 2022Feb 27, 2023May 10, 2023Jul 21, 2023Oct 2, 2023

Evaluation results

MethodLinks
DATSR-rec2022.0727.5428.50.8527.470.8227.220.81126.960.8030.821
C2-Matching-rec2022.0727.3228.110.83927.260.81127.070.80426.850.7960.813
Extracter-recTraining Loss=Reconstruction only, Kernel size=6x62023.1027.29————————0.811
DPFSR-recTraining Loss=Reconstruction only, Kernel size=3x32023.1027.25————————0.808
C^2-Matching2023.1027.16————————0.805
TTSR-recTraining Loss=Reconstruction only, Kernel size=3x32023.1027.03————————0.802
SSEN-recTraining Loss=Reconstruction only2023.1026.78————————0.791
TTSR-rec2022.0726.7426.990.826.740.79126.640.78826.580.7870.792
ExtracterTraining Loss=All losses, Kernel size=6x62023.1026.4————————0.789
SRNTT-recTraining Loss=Reconstruction only2023.1026.24————————0.784
SRNTT-rec2022.0726.0326.150.78126.040.77625.980.77525.950.7740.777
TTSRTraining Loss=All losses, Kernel size=3x32023.1025.63————————0.765
SRNTTTraining Loss=All losses2023.1025.61————————0.764
CrossNet2022.0725.4725.480.76425.480.76425.470.76325.460.7630.764
DPFSRTraining Loss=All losses, Kernel size=3x32023.1025.23————————0.749