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Image Super-resolution on Set5

39.72PSNRDiffFNO
38.180838.580438.9839.3796Jun 2, 2020May 30, 2021May 28, 2022May 25, 2023May 22, 2024May 19, 2025May 17, 2026

Evaluation results

MethodLinks
DiffFNOScaling Factor=x2, Encoder=RDN2024.1139.72————————————————
HiNOTEScaling Factor=x2, Encoder=own2024.1139.01————————————————
HAT-LScale=x2, Training Dataset=DF2K, ImageNet Pre-training=true2022.0538.91————————0.9646———————
HAT-LScale=2x, Params [M]=40.702024.1138.91————————0.9646———————
HAT-LScale=2x, Base=Attention2026.0138.91————————0.9646———————
Hi-IR-LScale=2x, Params [M]=39.072024.1138.87————————0.9663———————
SATScale=×2, Params=19.4M, FLOPs=3.64T2026.0438.74————————0.9638———————
HATScale=x2, Training Dataset=DF2K, ImageNet Pre-training=true2022.0538.73————————0.9637———————
HATScale=2x, Params [M]=20.622024.1138.73————————0.9637———————
LMIScaling Factor=x2, Encoder=RDN2024.1138.72————————————————
Hi-IR-BScale=2x, Params [M]=14.682024.1138.71————————0.9657———————
CPATScale=2x, Base=Attention2026.0138.68————————0.9633———————
PFTScale=×2, Params=19.6M, FLOPs=5.03T2026.0438.68————————0.9635———————
GRL-BScale=x2, # Params [M]=20.052023.0338.67————————0.9647———————
GRL-BScale=2x, Params [M]=20.052024.1138.67————————0.9647———————
SwinFIRScale=2x, Base=Attention2026.0138.65————————0.9633———————
HATScale=x2, Training Dataset=DF2K, ImageNet Pre-training=false2022.0538.63————————0.963———————
EDTScale=x2, Training Dataset=DF2K, ImageNet Pre-training=true2022.0538.63————————0.9632———————
EDTScale=x2, # Params [M]=11.482023.0338.63————————0.9632———————
EDTScale=2x, Params [M]=11.482024.1138.63————————0.9632———————
EDT-BScale=2x, Base=Attention2026.0138.63————————0.9632———————
HATScale=×2, Params=20.6M, FLOPs=5.81T2026.0438.63————————0.963———————
RGT+Scale=x22023.0338.62————————0.9629———————
IPGScale=×2, Params=18.1M, FLOPs=5.35T2026.0438.61————————0.9632———————
ATDScale=×2, Params=20.1M, FLOPs=6.07T2026.0438.61————————0.9629———————
RGTScale=x22023.0338.59————————0.9628———————
EQ-MambaIRScale=×2, #Param. (M)=12.1M2026.0338.59————————0.9629———————
HAT-SScale=x2, Training Dataset=DF2K, ImageNet Pre-training=false2022.0538.58————————0.9628———————
MambaIRScale=×2, #Param. (M)=20.4M2026.0338.57————————0.9627———————
RGT-SScale=x22023.0338.56————————0.9627———————
ARTScale=2x, Params [M]=16.402024.1138.56————————0.9629———————
LITScaling Factor=x2, Encoder=RDN2024.1138.53————————————————
CAT-AScale=x22023.0338.51————————0.9626———————
CAT-AScale=2x, Params [M]=16.462024.1138.51————————0.9626———————
SRFormerScale=×2, #Param. (M)=10.4M2026.0338.51————————0.9627———————
CAT-AScale=×2, Params=16.5, FLOPs=5.082026.0438.51————————0.9626———————
EDTScale=x2, Training Dataset=DF2K, ImageNet Pre-training=false2022.0538.45————————0.9624———————
LaUDScale=2x, Base=CNN2026.0138.45————————0.9625———————
EDTScale=×2, #Param. (M)=11.5M2026.0338.45————————0.9624———————
SwinIRScale=x2, Training Dataset=DF2K, ImageNet Pre-training=false2022.0538.42————————0.9623———————
SwinIRScale=x2, # Params [M]=11.752023.0338.42————————0.9623———————
SwinIRScale=x22023.0338.42————————0.9623———————
SwinIRScale=2x, Params [M]=11.752024.1138.42————————0.9623———————
SwinIRScale=×2, #Param. (M)=11.8M2026.0338.42————————0.9623———————
SwinIRScale=×2, Params=11.8M, FLOPs=3.04T2026.0438.42————————0.9623———————
DFSAScale=x22023.0338.38————————0.962———————
SAT-light (Ours)Scale=×2, Params=742K, FLOPs=145.7G2026.0438.38————————0.9621———————
IPTScale=x22020.1238.37————————————————
RCAN-itScale=x2, Training Dataset=DF2K, ImageNet Pre-training=false2022.0538.37————————0.962———————
IPTScale=x2, Training Dataset=ImageNet, ImageNet Pre-training=true2022.0538.37————————————————
IPTScale=x2, # Params [M]=115.482023.0338.37————————————————
GRL-SScale=x2, # Params [M]=3.342023.0338.37————————0.9632———————
IPTScale=2x, Params [M]=115.482024.1138.37————————————————
IPTScale=×2, #Param. (M)=115M2026.0338.37————————————————
IPTScale=×2, Params=115M, FLOPs=7.38T2026.0438.37————————————————
ELANScale=x22023.0338.36————————0.962———————
PFT-lightScale=×2, Params=776K, FLOPs=278.3G2026.0438.36————————0.962———————
NLSNScale=x2, Training Dataset=DIV2K, ImageNet Pre-training=false2022.0538.34————————0.9618———————
NLSAScale=x22023.0338.34————————0.9618———————
NLSAScale=2x, Params [M]=42.632024.1138.34————————0.9618———————
ATD-lightScale=×2, Params=761K2026.0338.33————————0.9618———————
SRNOScaling Factor=x2, Encoder=RDN2024.1138.32————————————————
SANScale=x22020.0638.31————————0.962———————
SANScale=x22020.1238.31————————————————
SANScale=x2, Training Dataset=DIV2K, ImageNet Pre-training=false2022.0538.31————————0.962———————
SANScale=x2, # Params [M]=15.712023.0338.31————————0.962———————
SANScale=x22023.0338.31————————0.962———————
CRANScale=x22023.0338.31————————0.9617———————
SANScale=2x, Params [M]=15.712024.1138.31————————0.962———————
SANScale=×2, #Param. (M)=15.7M2026.0338.31————————0.962———————
PS-Mamba lightscale=2×, #param=970K, MACs=60.1G2026.0338.31————————0.9618———————
EchoSRScale=×2, Params=929K2026.0538.3————————0.9615———————
CSNLNScale=x22020.0638.28————————0.9616———————
CSNLNScale=x22023.0338.28————————0.9616———————
ATD-lightScale=×2, Params=753K, FLOPs=348.6G2026.0438.28————————0.9616———————
RCANScale=x22020.0638.27————————0.9614———————
RCANScale=x22020.1238.27————————————————
HANScale=x22020.1238.27————————————————
RCANScale=x2, Training Dataset=DIV2K, ImageNet Pre-training=false2022.0538.27————————0.9614———————
HANScale=x2, Training Dataset=DIV2K, ImageNet Pre-training=false2022.0538.27————————0.9614———————
RCANScale=x2, # Params [M]=15.442023.0338.27————————0.9614———————
HANScale=x2, # Params [M]=63.612023.0338.27————————0.9614———————
GRL-TScale=x2, # Params [M]=0.892023.0338.27————————0.9627———————
RCANScale=x22023.0338.27————————0.9614———————
HANScale=x22023.0338.27————————0.9614———————
RCANScale=2x, Params [M]=15.442024.1138.27————————0.9614———————
HANScale=2x, Params [M]=63.612024.1138.27————————0.9614———————
RCANScale=2x, Base=Attention2026.0138.27————————0.9614———————
DRLNScale=2x, Base=Attention2026.0138.27————————0.9616———————
HANScale=2x, Base=Attention2026.0138.27————————0.9614———————
RCANScale=×2, #Param. (M)=15.4M2026.0338.27————————0.9614———————
HANScale=×2, #Param. (M)=15.9M2026.0338.27————————0.9614———————
RCANScale=×2, Params=15.4M, FLOPs=7.02T2026.0438.27————————0.9614———————
IPG-TinyScale=×2, Params=872K, FLOPs=245.2G2026.0438.27————————0.9616———————
SeemoReScale=×2, Params=931K2026.0538.27————————0.9616———————
MambaIRv2-lightScale=×2, Params=774K2026.0338.26————————0.9615———————
MambaIRv2-lightscale=2×, #param=774K, MACs=126.7G2026.0338.26————————0.9615———————
RDNScale=x22020.0638.24————————0.9614———————
RDNScale=x22020.1238.24————————————————
IGNNScale=x22020.1238.24————————————————