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Image Super Resolution On Manga109 4X

Metrics

PSNR
SSIM

Results

Performance results of various models on this benchmark

Paper Title
HMA†33.190.9344HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
DRCT-L33.140.9347DRCT: Saving Image Super-resolution away from Information Bottleneck
Hi-IR-L33.130.9366Hierarchical Information Flow for Generalized Efficient Image Restoration
HAT-L33.090.9335Activating More Pixels in Image Super-Resolution Transformer
HAT_FIR33.03-SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
DRCT32.960.9324DRCT: Saving Image Super-resolution away from Information Bottleneck
HAT32.870.9319Activating More Pixels in Image Super-Resolution Transformer
CPAT+32.850.9318Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
SwinFIR32.830.9314SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
RGT+32.680.9303Recursive Generalization Transformer for Image Super-Resolution
DAT+32.670.9301Dual Aggregation Transformer for Image Super-Resolution
MaIR+32.660.9297MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
DAT32.510.9291Dual Aggregation Transformer for Image Super-Resolution
RGT32.500.9291Recursive Generalization Transformer for Image Super-Resolution
MaIR32.460.9284MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
SwinIR32.220.9273SwinIR: Image Restoration Using Swin Transformer
ABPN31.790.921Image Super-Resolution via Attention based Back Projection Networks
DRLN+31.780.9211Densely Residual Laplacian Super-Resolution
+SPN31.750.9229Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration
DBPN-RES-MR64-331.740.921Deep Back-Projection Networks for Single Image Super-resolution
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Image Super Resolution On Manga109 4X | SOTA | HyperAI