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Super-Resolution on BSD100

34.85PSNRIM-LUT
31.033232.024133.01534.0059Mar 30, 2016Nov 30, 2017Aug 3, 2019Apr 5, 2021Dec 6, 2022Aug 8, 2024Apr 11, 2026

Evaluation results

MethodLinks
IM-LUT2026.0434.8579.5
MatRes2026.0433.878.1
AutoLUT2026.0433.1473.6
HMAScale=x2, Pre-training strategy=true2024.0532.7990.71
HAT-LScale=x2, Pre-training strategy=true2024.0532.7490.66
MambaIRV2-Lscale=×2, #params=34.2, Training dataset=DFLIP2026.0332.7490.65
SST-L+scale=×2, #params=20.3, Training dataset=DFLIP, training patch size=96 × 962026.0332.7390.64
PFTscale=×2, #params=19.6, Training dataset=DFLIP2026.0332.7190.62
SST-Lscale=×2, #params=20.3, Training dataset=DFLIP2026.0332.6990.58
GRLScale=x2, Pre-training strategy=false2024.0532.6890.87
HMAScale=x2, Pre-training strategy=false2024.0532.6790.61
ATDScale=x2, Params=20.1M2024.0132.6590.56
HATScale=x2, Params=20.6M2024.0132.6290.53
HATScale=x2, Pre-training strategy=false2024.0532.6290.53
CAT-AScale=x2, Params=16.5M2024.0132.5990.47
ARTScale=x2, Params=16.4M2024.0132.5890.48
SRFormerScale=x2, Pre-training strategy=false2024.0532.5790.46
SwinIRScale=x2, Params=11.8M2024.0132.5390.41
SwinIRScale=x2, Pre-training strategy=false2024.0532.5390.41
EDTScale=x2, Params=11.5M2024.0132.5290.41
EDTScale=x2, Pre-training strategy=false2024.0532.5290.41
IET-lightScale=x2, Params=783K, FLOPs=277.9G2026.0132.590.38
IPTScale=x2, Params=115M2024.0132.48—
IPTScale=x2, Pre-training strategy=false2024.0532.48—
DRLN+Scale=2x2019.0632.4790.32
DRLNScale=2x2019.0632.4490.28
NLSAScale=x2, Pre-training strategy=false2024.0532.4390.27
PFT-lightScale=x22025.0332.4390.3
PFT-lightScale=x2, Params=776K, FLOPs=278.3G2026.0132.4390.3
SANScale=x2, Params=15.7M2024.0132.4290.28
SANScale=x2, Pre-training strategy=false2024.0532.4290.28
RCANScale=x2, Params=15.4M2024.0132.4190.27
HANScale=x2, Params=63.6M2024.0132.4190.27
RCANScale=x2, Pre-training strategy=false2024.0532.4190.27
IGNNScale=x2, Pre-training strategy=false2024.0532.4190.25
ATD-lightScale=x2, Params=753K2024.0132.3990.23
ATD-lightScale=x22025.0332.3990.23
ATD-lightScale=x2, Params=753K, FLOPs=348.6G2026.0132.3990.23
OmniSRScale=x2, Params=772K2024.0132.3690.2
Omni-SRScale=x2, Params=772K, FLOPS=172.1G2024.0132.3690.2
OmniSRScale=x22025.0332.3690.2
OmniSRScale=x2, Params=772K, FLOPs=194.5G2026.0132.3690.2
MambaIRv2-lightScale=x2, Params=774K, FLOPs=286.3G2026.0132.3690.19
IPG-TinyScale=x22025.0332.3590.18
IPG-TinyScale=x2, Params=872K, FLOPs=245.2G2026.0132.3590.18
HBPNScale=2x2019.0632.3390.2
EDSRScale=2x2019.0632.3290.1
EDSRScale=x2, Params=42.6M2024.0132.3290.13
EDSRScale=x2, Pre-training strategy=false2024.0532.3290.13
SwinIR-lightScale=x2, Params=910K2024.0132.3190.12
SwinIR-NGScale=x2, Params=1181K2024.0132.3190.13
SwinIR-lightScale=x2, Params=878K, FLOPS=195.6G2024.0132.3190.12
SwinIR-lightScale=x22025.0332.3190.12
SwinIR-NGScale=x22025.0332.3190.13
SwinIR-lightScale=x2, Params=910K, FLOPs=244G2026.0132.3190.12
SwinIR-NGScale=x2, Params=1,181K, FLOPs=274.1G2026.0132.3190.13
ELANScale=x2, Params=582K2024.0132.390.12
ELANScale=x22025.0332.390.12
ELANScale=x2, Params=582K, FLOPs=203G2026.0132.390.12
DBPNScale=2x2019.0632.2790
DLGSANetScale=x2, Params=566K, FLOPS=128.1G2024.0132.2690.07
LatticeNetScale=x2, Params=756K2024.0132.2590.05
LatticeNetScale=x22025.0332.2590.05
LatticeNetScale=x2, Params=756K, FLOPs=169.5G2026.0132.2590.05
CFSRScale=x2, Params=291K, FLOPS=62.6G2024.0132.2490.05
RLFNScale=x2, Params=527K, FLOPS=116G2024.0132.2290
SPANScale=x2, Params=481K, FLOPS=94.4G2024.0132.2290.02
DIPNetScale=x2, Params=527K, FLOPS=119G2024.0132.290.02
IMDNScale=x2, Params=694K2024.0132.1989.96
LAPAR-AScale=x2, Params=548K2024.0132.1989.99
IMDNScale=x2, Params=694K, FLOPS=158.8G2024.0132.1989.96
LAPAR-AScale=x2, Params=548K, FLOPS=171.0G2024.0132.1989.99
IMDNScale=x22025.0332.1989.96
LAPAR-AScale=x22025.0332.1989.99
IMDNScale=x2, Params=694K, FLOPs=158.8G2026.0132.1989.96
LAPAR-AScale=x2, Params=548K, FLOPs=171G2026.0132.1989.99
PANScale=x2, Params=261K, FLOPS=70.5G2024.0132.1889.97
ShuffleMixerScale=x2, Params=394K, FLOPS=91.0G2024.0132.1789.95
DRSANScale=x2, Params=370K, FLOPS=85.5G2024.0132.1689.99
RFDNScale=x2, Params=534K, FLOPS=95.0G2024.0132.1689.94
CARNScale=x2, Params=1,592K2024.0132.0989.78
CARNScale=x22025.0332.0989.78
CARNScale=x2, Params=1,592K, FLOPs=222.8G2026.0132.0989.78
DRRNScale=2x2019.0632.0589.7
RED30Scale=2, Number of layers=302016.0331.9989.74
RED20Scale=2, Number of layers=202016.0331.9589.69
VDSRScale=2x2019.0631.989.6
RED10Scale=2, Number of layers=102016.0331.8589.53
LapSRNScale=2x2019.0631.889.5
CRFSRScale=2x2019.0631.6189.1
CSCNScale=22016.0331.5489.08
SuRGeStrategy=GAN2024.0431.5287
CATANet2026.0431.4871
SRCNNScale=22016.0331.3688.79
SRCNNScale=2x2019.0631.3688.8
ARFL+Scale=22016.0331.3588.85
NBSRFScale=22016.0331.388.76
CSCScale=22016.0331.2788.76
A+Scale=2x2019.0631.2288.7
TSEScale=22016.0331.1888.55