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Super-Resolution on Set14 (PSNR, SSIM)

35.86PSNRIM-LUT
33.426434.058234.6935.3218Dec 17, 2017May 13, 2019Oct 7, 2020Mar 4, 2022Jul 30, 2023Dec 24, 2024May 21, 2026

Evaluation results

MethodLinks
IM-LUT2026.0435.8696.2
HMAScale=x2, Pre-training strategy=true2024.0535.3392.97
HAT-LScale=x2, Pre-training strategy=true2024.0535.2992.93
SST-L+scale=×2, #params=20.3, Training dataset=DFLIP, training patch size=96 × 962026.0335.2892.88
MambaIRV2-Lscale=×2, #params=34.2, Training dataset=DFLIP2026.0335.292.87
HMAScale=x2, Pre-training strategy=false2024.0535.1192.86
PFTscale=×2, #params=19.6, Training dataset=DFLIP2026.0335.1192.82
GRLScale=x2, Pre-training strategy=false2024.0535.0893.03
SST-Lscale=×2, #params=20.3, Training dataset=DFLIP2026.0335.0692.74
MatRes2026.0435.0194.1
ATDScale=x2, Params=20.1M2024.0134.9592.76
HATScale=x2, Params=20.6M2024.0134.8692.74
HATScale=x2, Pre-training strategy=false2024.0534.8692.74
CAT-AScale=x2, Params=16.5M2024.0134.7892.65
ARTScale=x2, Params=16.4M2024.0134.5992.67
EDTScale=x2, Params=11.5M2024.0134.5792.58
EDTScale=x2, Pre-training strategy=false2024.0534.5792.58
SwinIRScale=x2, Params=11.8M2024.0134.4692.5
SwinIRScale=x2, Pre-training strategy=false2024.0534.4692.5
SRFormerScale=x2, Pre-training strategy=false2024.0534.4492.53
IPTScale=x2, Params=115M2024.0134.43—
IPTScale=x2, Pre-training strategy=false2024.0534.43—
IET-lightScale=x2, Params=783K, FLOPs=277.9G2026.0134.2892.45
HAN+Scale=x22020.0834.2492.24
IPG-TinyScale=x22025.0334.2492.36
IPG-TinyScale=x2, Params=872K, FLOPs=245.2G2026.0134.2492.36
PFT-lightScale=x22025.0334.1992.32
PFT-lightScale=x2, Params=776K, FLOPs=278.3G2026.0134.1992.32
HANScale=x22020.0834.1692.17
HANScale=x2, Params=63.6M2024.0134.1692.17
RCANScale=x22020.0834.1292.16
RCANScale=x2, Params=15.4M2024.0134.1292.16
RCANScale=x2, Pre-training strategy=false2024.0534.1292.16
ATD-lightScale=x2, Params=753K2024.0134.1192.17
ATD-lightScale=x22025.0334.1192.17
ATD-lightScale=x2, Params=753K, FLOPs=348.6G2026.0134.1192.17
MambaIRv2-lightScale=x2, Params=774K, FLOPs=286.3G2026.0134.0992.21
NLSAScale=x2, Pre-training strategy=false2024.0534.0892.31
SANScale=x22020.0834.0792.13
SANScale=x2, Params=15.7M2024.0134.0792.13
SANScale=x2, Pre-training strategy=false2024.0534.0792.13
IGNNScale=x2, Pre-training strategy=false2024.0534.0792.17
EDSR+Scale=x2, Supervision=Supervised, Downscaling kernel=bicubic2017.1234.0292.04
AutoLUT2026.0434.0291.7
RDNScale=x22020.0834.0192.12
OmniSRScale=x2, Params=772K2024.0133.9892.1
Omni-SRScale=x2, Params=772K, FLOPS=172.1G2024.0133.9892.1
OmniSRScale=x22025.0333.9892.1
OmniSRScale=x2, Params=772K, FLOPs=194.5G2026.0133.9892.1
ELANScale=x2, Params=582K2024.0133.9492.07
SwinIR-NGScale=x2, Params=1181K2024.0133.9492.05
ELANScale=x22025.0333.9492.07
SwinIR-NGScale=x22025.0333.9492.05
ELANScale=x2, Params=582K, FLOPs=203G2026.0133.9492.07
SwinIR-NGScale=x2, Params=1,181K, FLOPs=274.1G2026.0133.9492.05
EDSRScale=2x2019.0633.9291.9
EDSRScale=x22020.0833.9291.95
EDSRScale=x2, Params=42.6M2024.0133.9291.95
EDSRScale=x2, Pre-training strategy=false2024.0533.9291.95
DLGSANetScale=x2, Params=566K, FLOPS=128.1G2024.0133.9292.02
SwinIR-lightScale=x2, Params=910K2024.0133.8692.06
SwinIR-lightScale=x2, Params=878K, FLOPS=195.6G2024.0133.8692.06
SwinIR-lightScale=x22025.0333.8692.06
SwinIR-lightScale=x2, Params=910K, FLOPs=244G2026.0133.8692.06
DBPNScale=2x2019.0633.8591.9
D-DBPNScale=x22020.0833.8591.9
SRFBNScale=x22020.0833.8291.96
HBPNScale=2x2019.0633.7892.1
LatticeNetScale=x2, Params=756K2024.0133.7891.93
LatticeNetScale=x22025.0333.7891.93
LatticeNetScale=x2, Params=756K, FLOPs=169.5G2026.0133.7891.93
CFSRScale=x2, Params=291K, FLOPS=62.6G2024.0133.7491.92
RLFNScale=x2, Params=527K, FLOPS=116G2024.0133.7291.87
SPANScale=x2, Params=481K, FLOPS=94.4G2024.0133.7191.83
RFDNScale=x2, Params=534K, FLOPS=95.0G2024.0133.6891.84
AWSRN-MMult-Adds=244.1G, Params=1,063K, Scale=x22019.0133.6691.81
DIPNetScale=x2, Params=527K, FLOPS=119G2024.0133.6691.92
IMDNScale=x2, Params=694K2024.0133.6391.77
IMDNScale=x2, Params=694K, FLOPS=158.8G2024.0133.6391.77
ShuffleMixerScale=x2, Params=394K, FLOPS=91.0G2024.0133.6391.8
IMDNScale=x22025.0333.6391.77
IMDNScale=x2, Params=694K, FLOPs=158.8G2026.0133.6391.77
LAPAR-AScale=x2, Params=548K2024.0133.6291.83
LAPAR-AScale=x2, Params=548K, FLOPS=171.0G2024.0133.6291.83
LAPAR-AScale=x22025.0333.6291.83
LAPAR-AScale=x2, Params=548K, FLOPs=171G2026.0133.6291.83
SelNetMult-Adds=225.7G, Params=974K, Scale=x22019.0133.6191.6
QuantSR+*Scale=x2, #Bit (w/a)=4/42026.0533.691.72
PANScale=x2, Params=261K, FLOPS=70.5G2024.0133.5991.81
SRResNetScale=x2, #Bit (w/a)=32/322026.0533.5991.71
DRSANScale=x2, Params=370K, FLOPS=85.5G2024.0133.5791.77
FALSR-AMult-Adds=234.7G, Params=1,021K, Scale=x22019.0133.5591.68
CATANet2026.0433.5489.9
I2NQ*Scale=x2, #Bit (w/a)=4/42026.0533.5491.68
CARNScale=x2, # params=964K2018.1133.5291.66
CARNMult-Adds=222.8G, Params=1,592K, Scale=x22019.0133.5291.66
CARNScale=x2, Params=1,592K2024.0133.5291.66
CARNScale=x22025.0333.5291.66
CARNScale=x2, Params=1,592K, FLOPs=222.8G2026.0133.5291.66
QuantSR+Scale=x2, #Bit (w/a)=4/42026.0533.5291.65