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Image Super Resolution On Manga109 3X

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PSNR
SSIM

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname
PSNR
SSIM
Paper TitleRepository
DRLN+34.940.9518Densely Residual Laplacian Super-Resolution
CPAT35.660.9559Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution-
ML-CrAIST-Li34.260.9492ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
CSNLN34.450.9502Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
HAT35.840.9567Activating More Pixels in Image Super-Resolution Transformer
CPAT+35.770.9563Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution-
HAT_FIR35.92-SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
ML-CrAIST34.420.9501ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
HAT-L36.020.9576Activating More Pixels in Image Super-Resolution Transformer
HAN+34.870.9509Single Image Super-Resolution via a Holistic Attention Network
HMA†36.100.9580HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
PMRN+34.10.9480Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution-
Hi-IR-L36.120.9588Hierarchical Information Flow for Generalized Efficient Image Restoration-
SwinFIR35.770.9563SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
IMDN33.61-Lightweight Image Super-Resolution with Information Multi-distillation Network
SRFBN34.18-Feedback Network for Image Super-Resolution
LFFN-S32.80.9381Lightweight Feature Fusion Network for Single Image Super-Resolution
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