Image Super Resolution On Urban100 4X

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
Hi-IR-L	28.72	0.8514	Hierarchical Information Flow for Generalized Efficient Image Restoration	-
DRCT-L	28.70	0.8508	DRCT: Saving Image Super-resolution away from Information Bottleneck
HMA†	28.69	0.8512	HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
HAT-L	28.60	0.8498	Activating More Pixels in Image Super-Resolution Transformer
HAT_FIR	28.43	-	SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
DRCT	28.40	0.8457	DRCT: Saving Image Super-resolution away from Information Bottleneck
HAT	28.37	0.8447	Activating More Pixels in Image Super-Resolution Transformer
CPAT+	28.33	0.8425	Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution	-
CPAT	28.22	0.8408	Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution	-
IPG	28.13	0.8392	Image Processing GNN: Breaking Rigidity in Super-Resolution	-
SwinFIR	28.12	0.8393	SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
MaIR+	27.89	0.8336	MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
MaIR	27.71	0.8305	MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
SwinIR	27.45	0.8254	SwinIR: Image Restoration Using Swin Transformer
HBPN	27.3	0.818	Hierarchical Back Projection Network for Image Super-Resolution
LTE	27.24	-	Local Texture Estimator for Implicit Representation Function
SAN	27.23	0.8169	Second-Order Attention Network for Single Image Super-Resolution	-
CSNLN	27.22	0.8168	Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
DRLN+	27.14	0.8149	Densely Residual Laplacian Super-Resolution
DBPN-RES-MR64-3	27.08	0.814	Deep Back-Projection Networks for Single Image Super-resolution

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