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Image Super Resolution On Set5 4X Upscaling

评估指标

PSNR
SSIM

评测结果

各个模型在此基准测试上的表现结果

Paper TitleRepository
HMA†33.380.9089HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
HAT-L33.300.9083Activating More Pixels in Image Super-Resolution Transformer
CPAT+33.240.9071Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution-
Hi-IR-L33.220.9103Hierarchical Information Flow for Generalized Efficient Image Restoration-
CPAT33.190.9069Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution-
MaIR+33.140.9058MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
MaIR32.930.9045MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
EDSR32.460.8968Enhanced Deep Residual Networks for Single Image Super-Resolution
ML-CrAIST32.360.8984ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
ML-CrAIST-Li32.150.8962ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
SRCNN30.490.8628Image Super-Resolution Using Deep Convolutional Networks
SRGAN29.40.8472Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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Image Super Resolution On Set5 4X Upscaling | SOTA | HyperAI超神经