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Image Super Resolution On Manga109 2X

평가 지표

PSNR
SSIM

평가 결과

이 벤치마크에서 각 모델의 성능 결과

Paper TitleRepository
Hi-IR-L41.220.9846Hierarchical Information Flow for Generalized Efficient Image Restoration-
DRCT-L41.140.9842DRCT: Saving Image Super-resolution away from Information Bottleneck
HMA†41.130.9836HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
HAT-L41.010.9831Activating More Pixels in Image Super-Resolution Transformer
HAT_FIR40.77-SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
HAT40.710.9819Activating More Pixels in Image Super-Resolution Transformer
SwinFIR40.610.9816SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
CPAT+40.590.9816Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution-
CPAT40.480.9814Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution-
DRCT40.410.9814DRCT: Saving Image Super-resolution away from Information Bottleneck
DRLN+39.750.9792Densely Residual Laplacian Super-Resolution
HAN+39.620.9787Single Image Super-Resolution via a Holistic Attention Network
CSNLN39.370.9785Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
HBPN39.30.979Hierarchical Back Projection Network for Image Super-Resolution
DBPN-RES-MR64-339.280.977Deep Back-Projection Networks for Single Image Super-resolution
ML-CrAIST39.260.9786ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
ML-CrAIST-Li39.230.9785ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
PMRN+39.150.9781Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution-
SRFBN39.08-Feedback Network for Image Super-Resolution
IMDN38.88-Lightweight Image Super-Resolution with Information Multi-distillation Network
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