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Single Image Super-Resolution on BSD100

32.77PSNRHi-IR-L
28.797229.828630.8631.8914Aug 13, 2016Dec 30, 2017May 19, 2019Oct 5, 2020Feb 21, 2022Jul 11, 2023Nov 27, 2024

Evaluation results

MethodLinks
Hi-IR-LScale=2x, Params [M]=39.072024.1132.7790.92
HAT-LScale=2x, Params [M]=40.702024.1132.7490.66
Hi-IR-BScale=2x, Params [M]=14.682024.1132.7390.87
HATScale=2x, Params [M]=20.622024.1132.6990.6
GRL-BScale=x2, # Params [M]=20.052023.0332.6790.87
GRL-BScale=2x, Params [M]=20.052024.1132.6790.87
SwinFIRScale=x2, Training Dataset=DF2K, Pre-training strategy=ImageNet2022.0832.6490.54
EDTScale=x2, # Params [M]=11.482023.0332.6290.52
EDTScale=2x, Params [M]=11.482024.1132.6290.52
SwinFIRScale=x2, Training Dataset=DF2K2022.0832.5990.49
CAT-AScale=2x, Params [M]=16.462024.1132.5990.47
ARTScale=2x, Params [M]=16.402024.1132.5890.48
SwinIRScale=x2, # Params [M]=11.752023.0332.5390.41
SwinIRScale=2x, Params [M]=11.752024.1132.5390.41
GRL-SScale=x2, # Params [M]=3.342023.0332.5290.69
IPTScale=x2, # Params [M]=115.482023.0332.48—
IPTScale=2x, Params [M]=115.482024.1132.48—
NLSAScale=2x, Params [M]=42.632024.1132.4390.27
SANScale=x2, # Params [M]=15.712023.0332.4290.28
GRL-TScale=x2, # Params [M]=0.892023.0332.4290.56
SANScale=2x, Params [M]=15.712024.1132.4290.28
RCANScale=x2, # Params [M]=15.442023.0332.4190.27
HANScale=x2, # Params [M]=63.612023.0332.4190.27
RCANScale=2x, Params [M]=15.442024.1132.4190.27
HANScale=2x, Params [M]=63.612024.1132.4190.27
EDSRScale Factor=x22019.0932.3790.2
EDTScale=x2, # Params [M]=0.922023.0332.3790.21
E-LCSCNetScale=x22019.0932.3690.18
RDNScale=x22019.0932.3490.17
EDSRScale=x22019.0932.3290.13
EDSRScale=2x, Params [M]=40.732024.1132.3290.13
SwinIRScale=x2, # Params [M]=0.882023.0332.3190.12
MDSRScale=x22018.1032.29—
SRFBNScale=2x, Params [M]=2.142024.1132.2990.1
D_DBPNScale=x22019.0932.2790
BE-LCSC_LScale=x22019.0932.2390.02
NLRNScale=x22018.0632.1989.92
FALSR-AScale=x22019.0932.1289.87
LCSC_76_291Scale=x22019.0932.189.85
RL-CSCScale=x22018.1232.0989.85
CARNScale=x22019.0932.0989.78
MemNetScale=x22018.0632.0889.78
MemNetScale=x22018.1232.0889.78
MemNetScale=x22019.0932.0889.78
SelNetScale=x22019.0932.0889.84
MemNetScale=x22018.1032.05—
DRRNScale=x22018.0632.0589.73
DRRNScale=x22018.1232.0589.73
DRRNScale=x22019.0932.0589.73
N³NetScale=x22018.1031.98—
VDSRScale=x22018.1031.9—
VDSRScale=x22018.0631.989.6
VDSRScale=x22018.1231.989.6
VDSRScale=x22019.0931.989.6
DnCNN-3Upscaling Factor=22016.0831.989.61
VDSRUpscaling Factor=22016.0831.8989.61
DRCNScale=x22018.0631.8589.42
DRCNScale=x22018.1231.8589.42
DRCNScale=x22019.0931.8589.42
LapSRNScale=x22018.0631.889.5
LapSRNScale=x22019.0931.889.5
TNRDUpscaling Factor=22016.0831.488.78
SRCNNScale=x22018.0631.3688.79
SRCNNScale=x22018.1231.3688.79
SelfExScale=x22018.1031.18—
Hi-IR-LScale=3x, Params [M]=39.262024.1129.6782.56
HAT-LScale=3x, Params [M]=40.882024.1129.6381.91
Hi-IR-BScale=3x, Params [M]=14.872024.1129.682.4
HATScale=3x, Params [M]=20.812024.1129.5981.77
BicubicScale=x22018.1029.56—
BicubicScale=x22018.1229.5684.31
BicubicScale Factor=x22019.0929.5684.3
GRL-BScale=3x, Params [M]=20.242024.1129.5682.35
SwinFIRScale=x3, Training Dataset=DF2K, Pre-training strategy=ImageNet2022.0829.5581.69
EDTScale=3x, Params [M]=11.662024.1129.5381.65
SwinFIRScale=x3, Training Dataset=DF2K2022.0829.5281.61
CAT-AScale=3x, Params [M]=16.642024.1129.5281.6
ARTScale=3x, Params [M]=16.582024.1129.5181.59
SwinIRScale=3x, Params [M]=11.942024.1129.4681.45
IPTScale=3x, Params [M]=115.672024.1129.38—
NLSAScale=3x, Params [M]=45.582024.1129.3481.17
SANScale=3x, Params [M]=15.902024.1129.3381.12
RCANScale=3x, Params [M]=15.632024.1129.3281.11
HANScale=3x, Params [M]=64.352024.1129.3281.1
E-LCSCNetScale=x32019.0929.2781.04
RDNScale=x32019.0929.2680.93
MDSRScale=x32018.1029.25—
EDSRScale=x32019.0929.2580.93
EDSRScale=3x, Params [M]=43.682024.1129.2580.93
SRFBNScale=3x, Params [M]=2.832024.1129.2480.84
BE-LCSC_LScale=x32019.0929.1280.65
NLRNScale=x32018.0629.0680.26
CARNScale=x32019.0929.0680.34
RL-CSCScale=x32018.1228.9980.21
LCSC_76_291Scale=x32019.0928.9780.14
SelNetScale=x32019.0928.9780.25
MemNetScale=x32018.0628.9680.01
MemNetScale=x32018.1228.9680.01
MemNetScale=x32019.0928.9680.01
MemNetScale=x32018.1028.95—