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

模型名称	PSNR	SSIM	Paper Title	Repository
BSRN	26.03	0.7835	Lightweight and Efficient Image Super-Resolution with Block State-based Recursive Network	-
SRNTT-l2	25.5	-	Image Super-Resolution by Neural Texture Transfer	-
NLRN	25.79	0.7729	Non-Local Recurrent Network for Image Restoration	-
DBPN-RES-MR64-3	27.08	0.814	Deep Back-Projection Networks for Single Image Super-resolution	-
HAT_FIR	28.43	-	SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution	-
IDN	25.41	0.7632	Fast and Accurate Single Image Super-Resolution via Information Distillation Network	-
LapSRN	25.21	0.756	Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution	-
HAN+	27.02	0.8131	Single Image Super-Resolution via a Holistic Attention Network	-
HBPN	27.3	0.818	Hierarchical Back Projection Network for Image Super-Resolution	-
SwinIR	27.45	0.8254	SwinIR: Image Restoration Using Swin Transformer	-
CSNLN	27.22	0.8168	Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining	-
SRGAN + Residual-in-Residual Dense Block	27.03	0.8153	ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks	-
SwinIR (DUKD)	26.43	0.7972	Data Upcycling Knowledge Distillation for Image Super-Resolution	-
PixelRL-SR	23.28	0.7517	Multi-Step Reinforcement Learning for Single Image Super-Resolution
SwinOIR	26.74	0.806	Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy	-
HMA†	28.69	0.8512	HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution	-
RDN	26.61	0.8028	Residual Dense Network for Image Super-Resolution	-
MWCNN	26.27	0.7890	Multi-level Wavelet-CNN for Image Restoration	-
MaIR+	27.89	0.8336	MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration	-
ENet-E	25.66	0.7703	EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis	-

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