Image Super Resolution On Bsd100 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 Title	Repository
DRCT-L	28.16	0.7577	DRCT: Saving Image Super-resolution away from Information Bottleneck
Hi-IR-L	28.13	0.7622	Hierarchical Information Flow for Generalized Efficient Image Restoration	-
HMA†	28.13	0.7562	HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
HAT-L	28.09	0.7551	Activating More Pixels in Image Super-Resolution Transformer
HAT_FIR	28.07	-	SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
DRCT	28.06	0.7533	DRCT: Saving Image Super-resolution away from Information Bottleneck
CPAT+	28.06	0.7532	Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution	-
HAT	28.05	0.7534	Activating More Pixels in Image Super-Resolution Transformer
CPAT	28.04	0.7527	Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution	-
SwinFIR	28.03	0.7520	SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
WaveMixSR-V2	27.87	0.764	WaveMixSR-V2: Enhancing Super-resolution with Higher Efficiency
DRLN+	27.87	0.7453	Densely Residual Laplacian Super-Resolution
LTE	27.86	-	Local Texture Estimator for Implicit Representation Function
SAN	27.86	0.7457	Second-Order Attention Network for Single Image Super-Resolution	-
HAN+	27.85	0.7454	Single Image Super-Resolution via a Holistic Attention Network
SRGAN + Residual-in-Residual Dense Block	27.85	0.7455	ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
RFN	27.83	-	Progressive Perception-Oriented Network for Single Image Super-Resolution
ABPN	27.82	0.743	Image Super-Resolution via Attention based Back Projection Networks
CSNLN	27.8	0.7439	Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
ProSR	27.79	-	A Fully Progressive Approach to Single-Image Super-Resolution

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