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Image Super-Resolution on Set5 (test)

38.91PSNRHAT-L
37.97438.21738.4638.703Dec 25, 2018Mar 18, 2020Jun 10, 2021Sep 3, 2022Nov 26, 2023Feb 17, 2025May 13, 2026

Evaluation results

MethodLinks
HAT-LScale=x2, Training Dataset=DF2K, Pre-training strategy=ImageNet2024.0338.910.9646———
DRCT-LScale=x2, Training Dataset=DF2K, Progressive training strategy=true2024.0338.820.9644———
MambaIRv2Scale=2x2024.1138.65————
HATScale=x2, Training Dataset=DF2K2024.0338.630.963———
EDTScale=x2, Training Dataset=DF2K, Pre-training strategy=ImageNet2024.0338.630.9632———
DRCTScale=x2, Training Dataset=DF2K2024.0338.620.9628———
MaIR+Scale=x22024.1238.620.963———
ATDScale=2x2024.1138.61————
MambaIR+scale=x22024.0238.60.9628———
DATScale=x2, Training Dataset=DF2K2024.0338.580.9629———
MambaIRscale=x22024.0238.570.9627———
MambaIRScale=x22024.1238.570.9627———
MaIRScale=x22024.1238.560.9628———
SRFormerscale=x22024.0238.510.9627———
CAT-AScale=x2, Training Dataset=DF2K2024.0338.510.9626———
SRFormerScale=x22024.1238.510.9627———
SwinIRScale=x2, #Params [M]=11.75, #FLOPs [G]=23012023.0238.420.9623———
SwinIRscale=x22024.0238.420.9623———
SwinIRScale=x2, Training Dataset=DF2K2024.0338.420.9623———
SwinIRScale=x22024.1238.420.9623———
SST-lt+Scale=×2, Latency (ms)=249.6, Mem (mb)=804, #FLOPs (G)=4903.3, #params (K)=8932026.0338.420.9622———
SST-ltScale=×2, Latency (ms)=191.9, Mem (mb)=755, #FLOPs (G)=2057.6, #params (K)=8932026.0338.390.9622———
IPTscale=x22024.0238.37————
IPTScale=x2, Training Dataset=ImageNet2024.0338.37————
IPTScale=x22024.1238.37————
ELANscale=x22024.0238.360.962———
ELANScale=x22024.1238.360.962———
RDN+Scale=x2, Degradation Model=BI2018.1238.340.9618———
NLSAscale=x22024.0238.340.9618———
NLSNScale=x2, Training Dataset=DIV2K2024.0338.340.9618———
NLSAScale=x22024.1238.340.9618———
ESCScale=×2, Latency (ms)=120.9, Mem (mb)=831, #FLOPs (G)=592.0, #params (K)=9472026.0338.340.9618———
SANScale=x2, #Params [M]=15.86, #FLOPs [G]=30502023.0238.310.962———
SANscale=x22024.0238.310.962———
SANScale=x2, Training Dataset=DIV2K2024.0338.310.962———
SANScale=x22024.1238.310.962———
HiT-SRFScale=×2, Latency (ms)=268.1, Mem (mb)=1804, #FLOPs (G)=226.5, #params (K)=8472026.0338.310.9616———
RDNScale=x2, Degradation Model=BI2018.1238.30.9617———
ATD-ltScale=×2, Latency (ms)=733.5, Mem (mb)=2839, #FLOPs (G)=380.0, #params (K)=7532026.0338.290.9616———
SAFMNScale=x2, #Params [M]=5.56, #FLOPs [G]=12742023.0238.280.9616———
CSNLNscale=x22024.0238.280.9616———
RCANScale=x2, #Params [M]=15.45, #FLOPs [G]=35302023.0238.270.9614———
HANScale=x2, #Params [M]=63.61, #FLOPs [G]=145512023.0238.270.9614———
RCANscale=x22024.0238.270.9614———
HANscale=x22024.0238.270.9614———
RCANScale=x2, Training Dataset=DIV2K2024.0338.270.9614———
HANScale=x2, Training Dataset=DIV2K2024.0338.270.9614———
HANScale=x22024.1238.270.9614———
MambaIRv2-lightScale=×2, Params=774K, FLOPs=286.3G2025.1138.260.9615———
T-PMambaSRScale=×2, Params=687K, FLOPs=238.1G2025.1138.260.9616———
RDNScale=x22019.0738.240.9614———
IGNNscale=x22024.0238.240.9613———
IGNNScale=x2, Training Dataset=DIV2K2024.0338.240.9613———
IGNNScale=x22024.1238.240.9613———
SRFormer-ltScale=×2, Latency (ms)=1838.1, Mem (mb)=1184, #FLOPs (G)=236.3, #params (K)=8532026.0338.240.9615———
ESC-ltScale=×2, Params=603K, FLOPs=359.4G2025.1138.240.9615———
SRFormer-lightScale=×2, Params=853K, FLOPs=236.2G2025.1138.230.9613———
Omni-SRScale=×2, Params=772K, FLOPs=194.5G2025.1138.220.9613———
HiT-SIRScale=×2, Params=772K, FLOPs=209.9G2025.1138.220.9613———
GMFNScale=x22019.0738.210.9612———
SwinOIR+Scale=x2, #Params (K)=8412023.0338.210.9614———
MaIR-SmallScale=×2, Params=1,355K, FLOPs=542.0G2025.1138.20.9611———
SA-ConvBaseline=EDSR, Scale=x2, #Param.=8.96M2026.0538.1750.9626———
ELAN-lightScale=×2, Params=621K, FLOPs=201.3G2025.1138.170.9611———
SA-ConvBaseline=RCAN, Scale=x2, #Param.=4.44M2026.0538.1620.9626———
F-convBaseline=RCAN, Scale=x2, #Param.=4.41M2026.0538.160.9625———
LatticeNetScale=x2, #Params (K)=7562023.0338.150.961———
SA-ConvBaseline=RDN, Scale=x2, #Param.=7.75M2026.0538.1480.9625———
TL-ConvBaseline=RCAN, Scale=x2, #Param.=4.41M2026.0538.1410.9625———
SwinIRScale=x2, #Params (K)=8782023.0338.140.9611———
SwinOIRScale=x2, #Params (K)=8412023.0338.140.9612———
SwinIR-lightScale=×2, Params=910K, FLOPs=244.4G2025.1138.140.9611———
CNMCScale=×2, Params=769K2025.1138.140.961———
MambaIR-lightScale=×2, Params=905K, FLOPs=334.2G2025.1138.130.961———
F-convBaseline=RDN, Scale=x2, #Param.=7.71M2026.0538.130.9624———
TL-ConvBaseline=EDSR, Scale=x2, #Param.=8.92M2026.0538.1280.9625———
B-convBaseline=EDSR, Scale=x2, #Param.=8.92M2026.0538.1190.9625———
TL-ConvBaseline=RDN, Scale=x2, #Param.=7.71M2026.0538.1110.9624———
EDSRScale=x22019.0738.110.9602———
SRFBNScale=x22019.0738.110.9609———
EDSRScale=x2, Degradation Model=BI2018.1238.110.9602———
EDSRScale=x2, #Params [M]=40.73, #FLOPs [G]=93872023.0238.110.9602———
EDSRscale=x22024.0238.110.9602———
EDSRScale=x2, Training Dataset=DIV2K2024.0338.110.9602———
D-DBPNScale=x22019.0738.090.96———
D-DBPNScale=x2, Degradation Model=BI2018.1238.090.96———
Har-NetBaseline=RDN, Scale=x2, #Param.=4.76M2026.0538.0890.9624———
CNNBaseline=RCAN, Scale=x2, #Param.=12.37M2026.0538.0880.9624———
B-convBaseline=RDN, Scale=x2, #Param.=7.71M2026.0538.0850.9624———
B-convBaseline=RCAN, Scale=x2, #Param.=4.41M2026.0538.0830.9623———
NLRNScale=x22019.0738.080.961———
CNNBaseline=RDN, Scale=x2, #Param.=22.12M2026.0538.0660.9623———
CNNBaseline=EDSR, Scale=x2, #Param.=21.85M2026.0538.0630.9621———
F-convBaseline=EDSR, Scale=x2, #Param.=8.92M2026.0538.0610.9622———
G-CNNBaseline=RCAN, Scale=x2, #Param.=3.21M2026.0538.0530.9623———
G-CNNBaseline=RDN, Scale=x2, #Param.=5.61M2026.0538.050.9623———
G-CNNBaseline=EDSR, Scale=x2, #Param.=7.09M2026.0538.0410.9621———
LAPAR-AScale=x2, #Params [K]=548, #FLOPs [G]=171, #Acts [M]=6562023.0238.010.9605———
ShuffleMixerScale=x2, #Params [K]=394, #FLOPs [G]=91, #Acts [M]=8322023.0238.010.9606———
LAPAR-AScale=x2, #Params (K)=5482023.0338.010.9605———