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Image Super-resolution on BSD100 s=3 (test)

29.63PSNRHAT-L
28.246828.605928.96529.3241Jun 29, 2016Aug 29, 2017Oct 29, 2018Dec 30, 2019Feb 28, 2021Apr 30, 2022Jul 1, 2023

Evaluation results

MethodLinks
HAT-LTraining dataset=DF2K, Pre-trained on ImageNet=true2023.0729.6381.91
SwinFIRTraining dataset=DF2K, Pre-trained on ImageNet=true2023.0729.5581.69
HATTraining dataset=DF2K, Pre-trained on ImageNet=false2023.0729.5481.67
SwinIRTraining dataset=DF2K, Pre-trained on ImageNet=false2023.0729.4681.45
EDTTraining dataset=DF2K, Pre-trained on ImageNet=false2023.0729.4481.42
RCN-itTraining dataset=DF2K, Pre-trained on ImageNet=false2023.0729.3981.25
NLSNTraining dataset=DIV2K, Pre-trained on ImageNet=false2023.0729.3481.17
SANTraining dataset=DIV2K, Pre-trained on ImageNet=false2023.0729.3381.12
RCANTraining dataset=DIV2K, Pre-trained on ImageNet=false2023.0729.3281.11
HANTraining dataset=DIV2K, Pre-trained on ImageNet=false2023.0729.3281.1
IGNNTraining dataset=DIV2K, Pre-trained on ImageNet=false2023.0729.3181.05
EDSRTraining dataset=DIV2K, Pre-trained on ImageNet=false2023.0729.2580.93
ProposedTraining Dataset=DIV2K2016.1129.1880.71
RED30Number of layers=302016.0628.9379.94
RED20Number of layers=202016.0628.979.93
Proposed-PTraining Dataset=291 dataset2016.1128.8679.87
DnCNN-3Training Dataset=291 dataset2016.1128.8479.76
VDSRTraining Dataset=291 dataset2016.1128.8279.76
RED10Number of layers=102016.0628.7979.75
CSCN2016.0628.5879.1
SRCNN2016.0628.4178.63
WaveMixSRTraining dataset=DIV2K, Pre-trained on ImageNet=false2023.0728.3880.43
NBSRF2016.0628.3678.56
ARFL+2016.0628.3678.51
CSC2016.0628.3178.53
TSE2016.0628.378.43