Image Super Resolution On Set5 3X Upscaling

评估指标

PSNR

评测结果

各个模型在此基准测试上的表现结果

		Paper Title	Repository
HMA†	35.35	HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
DRCT-L	35.32	DRCT: Saving Image Super-resolution away from Information Bottleneck
HAT-L	35.28	Activating More Pixels in Image Super-Resolution Transformer
HAT_FIR	35.21	SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
Hi-IR-L	35.2	Hierarchical Information Flow for Generalized Efficient Image Restoration	-
CPAT+	35.19	Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution	-
DRCT	35.18	DRCT: Saving Image Super-resolution away from Information Bottleneck
HAT	35.16	Activating More Pixels in Image Super-Resolution Transformer
CPAT	35.16	Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution	-
SwinFIR	35.15	SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
EDT-B	35.13	On Efficient Transformer-Based Image Pre-training for Low-Level Vision
LTE	34.89	Local Texture Estimator for Implicit Representation Function
DRLN+	34.86	Densely Residual Laplacian Super-Resolution
HAN+	34.85	Single Image Super-Resolution via a Holistic Attention Network
CSNLN	34.74	Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
FACD	34.729	Feature-domain Adaptive Contrastive Distillation for Efficient Single Image Super-Resolution	-
SRFBN	34.70	Feedback Network for Image Super-Resolution
ML-CrAIST	34.7	ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
SwinOIR	34.69	Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy
PMRN+	34.65	Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution	-

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