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Image Super Resolution On Set5 4X Upscaling

Metrics

PSNR

SSIM

Results

Performance results of various models on this benchmark

			Paper Title	Repository
HMA†	33.38	0.9089	HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
HAT-L	33.30	0.9083	Activating More Pixels in Image Super-Resolution Transformer
CPAT+	33.24	0.9071	Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution	-
Hi-IR-L	33.22	0.9103	Hierarchical Information Flow for Generalized Efficient Image Restoration	-
CPAT	33.19	0.9069	Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution	-
MaIR+	33.14	0.9058	MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
MaIR	32.93	0.9045	MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
EDSR	32.46	0.8968	Enhanced Deep Residual Networks for Single Image Super-Resolution
ML-CrAIST	32.36	0.8984	ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
ML-CrAIST-Li	32.15	0.8962	ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
SRCNN	30.49	0.8628	Image Super-Resolution Using Deep Convolutional Networks
SRGAN	29.4	0.8472	Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

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Image Super Resolution On Set5 4X Upscaling | SOTA | HyperAI