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Single Image Super-Resolution on Urban100 (test)

35.11PSNRDRCT-L
30.149231.437132.72534.0129Dec 17, 2017May 12, 2019Oct 5, 2020Feb 28, 2022Jul 25, 2023Dec 17, 2024May 13, 2026

Evaluation results

MethodLinks
DRCT-LScale=x2, Training Dataset=DF2K, Progressive training strategy=true2024.0335.110.9506
DRCTScale=x2, Training Dataset=DF2K2024.0334.440.9464
MaIR+Scale=x22024.1234.380.9462
SST-lt+Scale=×2, Latency (ms)=249.6, Mem (mb)=804, #FLOPs (G)=4903.3, #params (K)=8932026.0334.310.9452
MaIRScale=x22024.1234.190.9451
MambaIR+scale=x22024.0234.170.9443
MambaIRscale=x22024.0234.150.9446
MambaIRScale=x22024.1234.150.9446
SRFormerscale=x22024.0234.090.9449
SRFormerScale=x22024.1234.090.9449
SST-ltScale=×2, Latency (ms)=191.9, Mem (mb)=755, #FLOPs (G)=2057.6, #params (K)=8932026.0334.030.9436
ESCScale=×2, Latency (ms)=120.9, Mem (mb)=831, #FLOPs (G)=592.0, #params (K)=9472026.0333.860.9424
SwinIRscale=x22024.0233.810.9427
SwinIRScale=x22024.1233.810.9427
IPTscale=x22024.0233.76—
IPTScale=x22024.1233.76—
ATD-ltScale=×2, Latency (ms)=733.5, Mem (mb)=2839, #FLOPs (G)=380.0, #params (K)=7532026.0333.620.9401
HiT-SRFScale=×2, Latency (ms)=268.1, Mem (mb)=1804, #FLOPs (G)=226.5, #params (K)=8472026.0333.580.9404
ELANscale=x22024.0233.440.9391
ELANScale=x22024.1233.440.9391
NLSAscale=x22024.0233.420.9394
NLSAScale=x22024.1233.420.9394
SRFormer-ltScale=×2, Latency (ms)=1838.1, Mem (mb)=1184, #FLOPs (G)=236.3, #params (K)=8532026.0333.370.9386
RDN+Scale=x2, Degradation Model=BI2018.1233.360.9388
HANscale=x22024.0233.350.9385
HANScale=x22024.1233.350.9385
RCANscale=x22024.0233.340.9384
MambaIRv2-lightScale=×2, Params=774K, FLOPs=286.3G2025.1133.260.9378
CSNLNscale=x22024.0233.250.9386
IGNNscale=x22024.0233.230.9383
IGNNScale=x22024.1233.230.9383
RDNScale=x2, Degradation Model=BI2018.1233.170.9377
SANscale=x22024.0233.10.937
SANScale=x22024.1233.10.937
SAFMNScale=x22023.0233.060.9366
GMFNScale=x22019.0732.960.9361
EDSRScale=x22019.0732.930.9351
EDSRScale=x22023.0232.930.9351
EDSRscale=x22024.0232.930.9351
RDNScale=x22019.0732.890.9353
CRAFTScale=x2, #Params=737K2023.0832.860.9343
SA-ConvBaseline=RCAN, Scale=x2, #Param.=4.44M2026.0532.8030.9353
SwinIR-lightScale=x2, #Params=878K2023.0832.760.934
ELAN-lightScale=x2, #Params=582K2023.0832.760.934
TL-ConvBaseline=RCAN, Scale=x2, #Param.=4.41M2026.0532.70.9343
F-convBaseline=RCAN, Scale=x2, #Param.=4.41M2026.0532.6910.9341
SA-ConvBaseline=EDSR, Scale=x2, #Param.=8.96M2026.0532.6730.9345
SRFBNScale=x22019.0732.620.9328
SA-ConvBaseline=RDN, Scale=x2, #Param.=7.75M2026.0532.6110.9341
ESRTScale=x2, #Params=777K2023.0832.580.9318
TL-ConvBaseline=EDSR, Scale=x2, #Param.=8.92M2026.0532.5540.9337
D-DBPNScale=x22019.0732.550.9324
B-convBaseline=RCAN, Scale=x2, #Param.=4.41M2026.0532.5370.9328
TL-ConvBaseline=RDN, Scale=x2, #Param.=7.71M2026.0532.5220.9331
F-convBaseline=RDN, Scale=x2, #Param.=7.71M2026.0532.5140.9331
Har-NetBaseline=RDN, Scale=x2, #Param.=4.76M2026.0532.4920.9333
B-convBaseline=EDSR, Scale=x2, #Param.=8.92M2026.0532.4890.933
B-convBaseline=RDN, Scale=x2, #Param.=7.71M2026.0532.4860.933
G-CNNBaseline=RCAN, Scale=x2, #Param.=3.21M2026.0532.3960.9324
HPUN-LScale=x2, #Params=714K2023.0832.370.9307
CNNBaseline=RCAN, Scale=x2, #Param.=12.37M2026.0532.3590.9316
F-convBaseline=EDSR, Scale=x2, #Param.=8.92M2026.0532.3570.9313
G-CNNBaseline=EDSR, Scale=x2, #Param.=7.09M2026.0532.2690.9306
LatticeNetScale=x2, #Params=756K2023.0832.250.9288
G-CNNBaseline=RDN, Scale=x2, #Param.=5.61M2026.0532.2370.9304
CNNBaseline=RDN, Scale=x2, #Param.=22.12M2026.0532.230.9303
SMSRScale=x2, #Params [K]=985, #FLOPs [G]=1322023.0232.190.9284
IMDNScale=x2, #Params [K]=694, #FLOPs [G]=161, #Acts [M]=4232023.0232.170.9283
IMDNScale=x2, #Params=694K2023.0832.170.9283
CNNBaseline=EDSR, Scale=x2, #Param.=21.85M2026.0532.170.9297
LAPAR-AScale=x2, #Params [K]=548, #FLOPs [G]=171, #Acts [M]=6562023.0232.10.9283
LAPAR-AScale=x2, #Params=548k2023.0832.10.9283
E2-CNNBaseline=RDN, Scale=x2, #Param.=4.31M2026.0532.0950.9294
PANScale=x2, #Params [K]=261, #FLOPs [G]=71, #Acts [M]=6772023.0232.010.9273
E2-CNNBaseline=EDSR, Scale=x2, #Param.=5.36M2026.0531.9920.9283
Har-NetBaseline=EDSR, Scale=x2, #Param.=6.30M2026.0531.9860.9281
EDSR-baselineScale=x2, #Params [K]=1370, #FLOPs [G]=316, #Acts [M]=5632023.0231.980.9272
EDSR-baselineScale=x2, #Params=1370K2023.0831.980.9272
CARNScale=x2, #Params [K]=1592, #FLOPs [G]=223, #Acts [M]=5222023.0231.920.9256
CARNScale=x2, #Params=1592K2023.0831.920.9256
ShuffleMixerScale=x2, #Params [K]=394, #FLOPs [G]=91, #Acts [M]=8322023.0231.890.9257
SAFMNScale=x2, #Params [K]=228, #FLOPs [G]=52, #Acts [M]=2992023.0231.840.9256
NLRNScale=x22019.0731.770.9243
ECBSR-M16C64Scale=x2, #Params [K]=596, #FLOPs [G]=137, #Acts [M]=252*2023.0231.710.925
Har-NetBaseline=RCAN, Scale=x2, #Param.=2.71M2026.0531.5570.9237
E2-CNNBaseline=RCAN, Scale=x2, #Param.=2.02M2026.0531.550.9238
SRMDNFScale Factor=x2, Degradation=bicubic2017.1231.330.92
DRRNScale=x22019.0731.230.9188
CARN-MScale=x2, #Params [K]=415, #FLOPs [G]=91, #Acts [M]=6552023.0231.230.9193
DRCT-LScale=x3, Training Dataset=DF2K, Progressive training strategy=true2024.0331.140.9004
PDO-eConvBaseline=RCAN, Scale=x2, #Param.=1.68M2026.0531.0820.9181
DRRNScale Factor=x2, Degradation=bicubic2017.1231.020.916
PDO-eConvBaseline=EDSR, Scale=x2, #Param.=4.73M2026.0530.9120.9159
SRMDScale Factor=x2, Degradation=bicubic2017.1230.890.916
LapSRNScale Factor=x2, Degradation=bicubic2017.1230.820.915
VDSRScale=x22019.0730.770.914
VDSRScale Factor=x2, Degradation=bicubic2017.1230.760.914
VDSRScale=x2, #Params [K]=665, #FLOPs [G]=613, #Acts [M]=11202023.0230.760.914
LapSRNScale=x2, #Params [K]=813, #FLOPs [G]=30, #Acts [M]=2232023.0230.410.91
DRCTScale=x3, Training Dataset=DF2K2024.0330.340.891