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ホーム
SOTA
画像超解像度
Image Super Resolution On Set14 4X Upscaling
Image Super Resolution On Set14 4X Upscaling
評価指標
PSNR
SSIM
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
PSNR
SSIM
Paper Title
Repository
DRCT-L
29.54
0.8025
DRCT: Saving Image Super-resolution away from Information Bottleneck
HMA†
29.51
0.8019
HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
Hi-IR-L
29.49
0.8041
Hierarchical Information Flow for Generalized Efficient Image Restoration
-
HAT-L
29.47
0.8015
Activating More Pixels in Image Super-Resolution Transformer
HAT_FIR
29.44
-
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
DRCT
29.40
0.8003
DRCT: Saving Image Super-resolution away from Information Bottleneck
HAT
29.38
0.8001
Activating More Pixels in Image Super-Resolution Transformer
CPAT+
29.36
0.7996
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
-
SwinFIR
29.36
0.7993
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
CPAT
29.34
0.7991
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
-
CFAT
29.30
0.7985
CFAT: Unleashing Triangular Windows for Image Super-resolution
-
DAT+
29.29
0.7983
Dual Aggregation Transformer for Image Super-Resolution
MaIR+
29.28
0.7974
MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
RGT+
29.28
0.7979
Recursive Generalization Transformer for Image Super-Resolution
ATD
29.24
0.7974
Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary
DAT
29.23
0.7973
Dual Aggregation Transformer for Image Super-Resolution
RGT
29.23
0.7972
Recursive Generalization Transformer for Image Super-Resolution
MaIR
29.2
0.7958
MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
Contrast
29.20
0.7973
-
-
MambaIR
29.20
0.7961
MambaIR: A Simple Baseline for Image Restoration with State-Space Model
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