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SOTA
이미지 초해상화
Image Super Resolution On Manga109 2X
Image Super Resolution On Manga109 2X
평가 지표
PSNR
SSIM
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
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
-
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