List your company

Super-Resolution on Set5 (test)

38.27PSNRRCAN
32.331633.873335.41536.9567Dec 17, 2017May 7, 2019Sep 25, 2020Feb 14, 2022Jul 5, 2023Nov 23, 2024Apr 14, 2026

Evaluation results

MethodLinks
RCANScale=x2, Kernel Width=0, Time=170ms2021.0438.27————————
DUKDScale=x2, Backbone=RCAN2023.0938.2396.14———————
KDScale=x2, Backbone=RCAN2023.0938.1896.11———————
RKDScale=x2, Backbone=RCAN2023.0938.1896.12———————
FAKD*Scale=x2, Backbone=RCAN2023.0938.1796.12———————
ScratchScale=x2, Backbone=RCAN2023.0938.1396.1———————
ATScale=x2, Backbone=RCAN2023.0938.1396.1———————
TL-Conv2026.0438.1396.25———————
B-Convgroup=p82026.0438.1296.25———————
CNN2026.0438.0696.21———————
F-Convgroup=p82026.0438.0696.22———————
G-CNNgroup=p42026.0438.0496.21———————
FitNetScale=x2, Backbone=RCAN2023.0937.9796.02———————
Har-Netgroup=p82026.0437.9296.19———————
E2-CNNgroup=p82026.0437.9196.18———————
SelNetScale=x2, Params=974K, Mult-Adds=225.7G2018.0337.8995.98———————
DASRScale=x2, Kernel Width=0, Time=71ms2021.0437.87————————
SRMDNFScale Factor=x2, Degradation=bicubic2017.1237.7996———————
MemNetScale=x2, Params=677K, Mult-Adds=2,662.4G2018.0337.7895.97———————
CARNScale=x2, Params=1,592K, Mult-Adds=222.8G2018.0337.7695.9———————
BTSRNScale=x2, Params=410K, Mult-Adds=207.7G2018.0337.75————————
DRRNScale=x2, Params=297K, Mult-Adds=6,796.9G2018.0337.7495.91———————
NIPQNetwork=EDSR, Scale=x2, Bit-width=4-bit2022.0637.74————————
DDTBNetwork=EDSR, Scale=x2, Bit-width=4-bit2022.0637.72————————
PAMSNetwork=EDSR, Scale=x2, Bit-width=4-bit2022.0637.67————————
DRRNScale Factor=x2, Degradation=bicubic2017.1237.6695.9———————
CNFScale=x2, Params=337K, Mult-Adds=311.0G2018.0337.6695.9———————
NIPQNetwork=EDSR, Scale=x2, Bit-width=3-bit2022.0637.66————————
TFLiteNetwork=EDSR, Scale=x2, Bit-width=4-bit2022.0637.64————————
DRCNScale=x2, Params=1,774K, Mult-Adds=17,974.3G2018.0337.6395.88———————
PDO-eConvgroup=p82026.0437.6396.06———————
VDSRscale=x22019.1037.695.91——————0.13
PACTNetwork=EDSR, Scale=x2, Bit-width=4-bit2022.0637.57————————
VDSRScale Factor=x2, Degradation=bicubic2017.1237.5695.9———————
SRMDScale Factor=x2, Degradation=bicubic2017.1237.5395.9———————
VDSRScale=x2, Params=665K, Mult-Adds=612.6G2018.0337.5395.87———————
CARN-MScale=x2, Params=412K, Mult-Adds=91.2G2018.0337.5395.83———————
LapSRNScale Factor=x2, Degradation=bicubic2017.1237.5295.9———————
LapSRNScale=x2, Params=813K, Mult-Adds=29.9G2018.0337.5295.9———————
DDTBNetwork=EDSR, Scale=x2, Bit-width=3-bit2022.0637.51————————
DASRScale=x2, Kernel Width=0.6, Time=71ms2021.0437.47————————
RC-Net without BNscale=x22019.1037.4295.86——————0.46
PACTNetwork=EDSR, Scale=x2, Bit-width=3-bit2022.0637.36————————
TFLiteNetwork=EDSR, Scale=x2, Bit-width=3-bit2022.0637.33————————
DoReFaNetwork=EDSR, Scale=x2, Bit-width=4-bit2022.0637.22————————
DASRScale=x2, Kernel Width=1.2, Time=71ms2021.0437.19————————
DoReFaNetwork=EDSR, Scale=x2, Bit-width=3-bit2022.0637.13————————
FSRCNNScale=x2, Params=12K, Mult-Adds=6.0G2018.033795.58———————
PAMSNetwork=EDSR, Scale=x2, Bit-width=3-bit2022.0636.76————————
SRCNNScale=x2, Params=57K, Mult-Adds=52.7G2018.0336.6695.42———————
SRCNNScale Factor=x2, Degradation=bicubic2017.1236.6295.3———————
SRCNNscale=x22019.1036.5595.42——————3.37
MZSR + PredictorScale=x2, Kernel Width=0, Time=90ms2021.0435.96————————
RCANScale=x2, Kernel Width=0.6, Time=170ms2021.0435.91————————
MZSR + PredictorScale=x2, Kernel Width=0.6, Time=90ms2021.0435.66————————
SRResNet-GradResidualScaling=sample-based2026.0235.57————————
RC-Net with BNscale=x22019.1035.4895.15——————0.68
DASRScale=x2, Kernel Width=1.8, Time=71ms2021.0435.43————————
MZSR + PredictorScale=x2, Kernel Width=1.2, Time=90ms2021.0435.22————————
SRMDNF + PredictorScale=x2, Kernel Width=0, Time=9ms2021.0434.94————————
SRMDNF + PredictorScale=x2, Kernel Width=0.6, Time=9ms2021.0434.77————————
RCANScale=x3, Kernel Width=0, Time=167ms2021.0434.74————————
DUKDScale=x3, Backbone=RCAN2023.0934.7492.96———————
RKDScale=x3, Backbone=RCAN2023.0934.6792.92———————
FAKD*Scale=x3, Backbone=RCAN2023.0934.6392.9———————
ScratchScale=x3, Backbone=RCAN2023.0934.6192.88———————
KDScale=x3, Backbone=RCAN2023.0934.6192.91———————
ATScale=x3, Backbone=RCAN2023.0934.5592.87———————
SRResNetScaling=sample-based2026.0234.28————————
FitNetScale=x3, Backbone=RCAN2023.0934.2192.48———————
SRMDNF + PredictorScale=x2, Kernel Width=1.2, Time=9ms2021.0434.13————————
SRMDNFScale Factor=x3, Degradation=bicubic2017.1234.1292.5———————
DASRScale=x3, Kernel Width=0, Time=70ms2021.0434.11————————
DASRScale=x3, Kernel Width=0.8, Time=70ms2021.0434.08————————
DRRNScale=x32018.0534.0392.45.397——————
DRRNScale Factor=x3, Degradation=bicubic2017.1233.9392.3———————
DSRNScale=x32018.0533.8892.25.221——————
SRMDScale Factor=x3, Degradation=bicubic2017.1233.8692.3———————
DRCNScale=x32018.0533.8292.25.202——————
LapSRNScale Factor=x3, Degradation=bicubic2017.1233.8292.2———————
SRMDNF + PredictorScale=x2, Kernel Width=1.8, Time=9ms2021.0433.8————————
LapSRNScale=x32018.0533.7892.15.194——————
VDSRScale Factor=x3, Degradation=bicubic2017.1233.6792.2———————
VDSRScale=x32018.0533.6692.15.088——————
BicubicScale=x2, Kernel Width=02021.0433.66————————
BicubicScale Factor=x2, Degradation=bicubic2017.1233.6492.9———————
DASRScale=x3, Kernel Width=1.6, Time=70ms2021.0433.57————————
VDSRscale=x32019.1033.5492.07——————0.14
RC-Net without BNscale=x32019.1033.4391.91——————0.44
FSRCNNScale=x32018.0533.1591.34.971——————
RCANScale=x3, Kernel Width=0.8, Time=167ms2021.0432.9————————
SRCNNScale=x32018.0532.7690.84.682——————
SRCNNScale Factor=x3, Degradation=bicubic2017.1232.7490.8———————
SRCNNscale=x32019.1032.6790.86——————3.35
SelfExSRScale=x32018.0532.6390.84.911——————
SRMDNF + PredictorScale=x3, Kernel Width=0.8, Time=6ms2021.0432.63————————
RCANScale=x4, Kernel Width=0, Time=165ms2021.0432.63————————
A+Scale=x32018.0532.690.84.979——————
SCNScale=x32018.0532.690.74.321——————
DUKDScale=x4, Backbone=RCAN2023.0932.5689.9———————