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Super-Resolution on Set5 (PSNR & SSIM)

47.13PSNRBAIRNet†
37.71840.161542.60545.0485Dec 17, 2017May 1, 2019Sep 12, 2020Jan 25, 2022Jun 9, 2023Oct 21, 2024Mar 6, 2026

Evaluation results

MethodLinks
BAIRNet†Scale=x1.52022.0347.1398.49
IRNScale=x1.52022.0343.5598.91
Meta-SRScale=x1.52022.0341.4797.85
ArbSRScale=x1.52022.0341.4797.86
LIIFScale=x1.52022.0341.2397.74
RCANScale=x1.52022.0340.9797.67
CARScale=x1.52022.0340.597.63
BAIRNet†Scale=x2.52022.0340.1196.64
IRNScale=x2.52022.0339.7897.42
HMAScale=x2, Pre-training strategy=true2024.0538.9596.49
HAT-LScale=x2, Pre-training strategy=true2024.0538.9196.46
HMAScale=x2, Pre-training strategy=false2024.0538.7996.41
SST-L+scale=×2, #params=20.3, Training dataset=DFLIP, training patch size=96 × 962026.0338.7896.37
MambaIRV2-Lscale=×2, #params=34.2, Training dataset=DFLIP2026.0338.7796.36
SST-Lscale=×2, #params=20.3, Training dataset=DFLIP2026.0338.796.35
GRLScale=x2, Pre-training strategy=false2024.0538.6796.47
PFTscale=×2, #params=19.6, Training dataset=DFLIP2026.0338.6796.33
SwinFIRScale=x2, Training Dataset=DF2K, Pre-training strategy=ImageNet2022.0838.6596.33
EDTScale=x2, Training Dataset=DF2K, Pre-training strategy=ImageNet2022.0838.6396.32
HATScale=x2, Params=20.6M2024.0138.6396.3
HATScale=x2, Pre-training strategy=false2024.0538.6396.3
ATDScale=x2, Params=20.1M2024.0138.6196.29
SwinFIRScale=x2, Training Dataset=DF2K2022.0838.5796.3
ARTScale=x2, Params=16.4M2024.0138.5696.29
CAT-AScale=x2, Params=16.5M2024.0138.5196.26
SRFormerScale=x2, Pre-training strategy=false2024.0538.5196.27
EDTScale=x2, Training Dataset=DF2K2022.0838.4596.24
EDTScale=x2, Params=11.5M2024.0138.4596.24
EDTScale=x2, Pre-training strategy=false2024.0538.4596.24
IET-lightScale=x2, Params=783K, FLOPs=277.9G2026.0138.4496.23
SwinIRScale=x2, Training Dataset=DF2K2022.0838.4296.23
SwinIRScale=x2, Params=11.8M2024.0138.4296.23
SwinIRScale=x2, Pre-training strategy=false2024.0538.4296.23
IPTScale=x2, Training Dataset=ImageNet2022.0838.37—
IPTScale=x2, Params=115M2024.0138.37—
IPTScale=x2, Pre-training strategy=false2024.0538.37—
PFT-lightScale=x2, Params=776K, FLOPs=278.3G2025.0338.3696.2
PFT-lightScale=x2, Params=776K, FLOPs=278.3G2026.0138.3696.2
NLSNScale=x2, Training Dataset=DIV2K2022.0838.3496.18
NLSAScale=x2, Pre-training strategy=false2024.0538.3496.18
RCAN+Scale=x22018.0738.3396.17
HAN+Scale=x22020.0838.3396.17
SANScale=x22020.0838.3196.2
SANScale=x2, Training Dataset=DIV2K2022.0838.3196.2
SANScale=x2, Params=15.7M2024.0138.3196.2
SANScale=x2, Pre-training strategy=false2024.0538.3196.2
RDN+Scale=x2, Degradation Model=BI, Self-ensemble=true2018.0238.396.16
ATD-lightScale=x2, Params=753K2024.0138.2896.16
ATD-lightScale=x2, Params=753K, FLOPs=348.6G2025.0338.2896.16
ATD-lightScale=x2, Params=753K, FLOPs=348.6G2026.0138.2896.16
RCANScale=x22018.0738.2796.14
RCANScale=x22020.0838.2796.14
HANScale=x22020.0838.2796.14
RCANScale=x2, Training Dataset=DIV2K2022.0838.2796.14
HANScale=x2, Training Dataset=DIV2K2022.0838.2796.14
RCANScale=x2, Params=15.4M2024.0138.2796.14
HANScale=x2, Params=63.6M2024.0138.2796.14
RCANScale=x2, Pre-training strategy=false2024.0538.2796.14
IPG-TinyScale=x2, Params=872K, FLOPs=245.2G2025.0338.2796.16
IPG-TinyScale=x2, Params=872K, FLOPs=245.2G2026.0138.2796.16
MambaIRv2-lightScale=x2, Params=774K, FLOPs=286.3G2026.0138.2696.15
RDNScale=x22018.0738.2496.14
RDNScale=x2, Degradation Model=BI, Self-ensemble=false2018.0238.2496.14
RDNScale=x22020.0838.2496.14
IGNNScale=x2, Training Dataset=DIV2K2022.0838.2496.13
IGNNScale=x2, Pre-training strategy=false2024.0538.2496.13
OmniSRScale=x2, Params=772K2024.0138.2296.13
Omni-SRScale=x2, Params=772K, FLOPS=172.1G, Resolution=1280x7202024.0138.2296.13
OmniSRScale=x2, Params=772K, FLOPs=194.5G2025.0338.2296.13
OmniSRScale=x2, Params=772K, FLOPs=194.5G2026.0138.2296.13
EDSR+Scale=x2, Supervision=Supervised, Downscaling kernel=bicubic2017.1238.296.06
ELANScale=x2, Params=582K2024.0138.1796.11
SwinIR-NGScale=x2, Params=1181K2024.0138.1796.12
ELANScale=x2, Params=582K, FLOPs=203G2025.0338.1796.11
SwinIR-NGScale=x2, Params=1,181K, FLOPs=274.1G2025.0338.1796.12
ELANScale=x2, Params=582K, FLOPs=203G2026.0138.1796.11
SwinIR-NGScale=x2, Params=1,181K, FLOPs=274.1G2026.0138.1796.12
DLGSANetScale=x2, Params=566K, FLOPS=128.1G, Resolution=1280x7202024.0138.1696.11
LatticeNetScale=x2, Params=756K2024.0138.1596.1
LatticeNetScale=x2, Params=756K, FLOPs=169.5G2025.0338.1596.1
LatticeNetScale=x2, Params=756K, FLOPs=169.5G2026.0138.1596.1
SwinIR-lightScale=x2, Params=910K2024.0138.1496.11
SwinIR-lightScale=x2, Params=878K, FLOPS=195.6G, Resolution=1280x7202024.0138.1496.11
SwinIR-lightScale=x2, Params=910K, FLOPs=244G2025.0338.1496.11
SwinIR-lightScale=x2, Params=910K, FLOPs=244G2026.0138.1496.11
HBPNScale=2x2019.0638.1396.1
EDSRScale=x22018.0738.1196.02
EDSRScale=2x2018.0338.1196
MDSRScale=x2, Degradation Model=BI2018.0238.1196.02
EDSRScale=2x2019.0638.1196
EDSRScale=x22020.0838.1196.02
SRFBNScale=x22020.0838.1196.09
EDSRScale=x2, Training Dataset=DIV2K2022.0838.1196.02
EDSRScale=x2, Params=42.6M2024.0138.1196.02
EDSRScale=x2, Pre-training strategy=false2024.0538.1196.02
D-DBPNScale=x22018.0738.0996
D-DBPNScale=2x2018.0338.0996
DBPNScale=2x2019.0638.0996
D-DBPNScale=x22020.0838.0996
SPANScale=x2, Params=481K, FLOPS=94.4G, Resolution=1280x7202024.0138.0896.08