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Image Super Resolution
Image Super Resolution On Manga109 2X
Image Super Resolution On Manga109 2X
Metrics
PSNR
SSIM
Results
Performance results of various models on this benchmark
Columns
Model Name
PSNR
SSIM
Paper Title
Repository
ML-CrAIST
39.26
0.9786
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
ML-CrAIST-Li
39.23
0.9785
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
LFFN-S
37.93
0.9746
Lightweight Feature Fusion Network for Single Image Super-Resolution
HAT-L
41.01
0.9831
Activating More Pixels in Image Super-Resolution Transformer
CSNLN
39.37
0.9785
Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
SRFBN
39.08
-
Feedback Network for Image Super-Resolution
PMRN+
39.15
0.9781
Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution
-
CPAT+
40.59
0.9816
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
-
HMA†
41.13
0.9836
HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
DRCT
40.41
0.9814
DRCT: Saving Image Super-resolution away from Information Bottleneck
DRCT-L
41.14
0.9842
DRCT: Saving Image Super-resolution away from Information Bottleneck
DRLN+
39.75
0.9792
Densely Residual Laplacian Super-Resolution
HAT
40.71
0.9819
Activating More Pixels in Image Super-Resolution Transformer
IMDN
38.88
-
Lightweight Image Super-Resolution with Information Multi-distillation Network
CPAT
40.48
0.9814
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
-
HAT_FIR
40.77
-
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
HBPN
39.3
0.979
Hierarchical Back Projection Network for Image Super-Resolution
HAN+
39.62
0.9787
Single Image Super-Resolution via a Holistic Attention Network
SwinFIR
40.61
0.9816
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
Hi-IR-L
41.22
0.9846
Hierarchical Information Flow for Generalized Efficient Image Restoration
-
0 of 21 row(s) selected.
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