Image Super Resolution On Set14 3X Upscaling

Métriques

PSNR

SSIM

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	PSNR	SSIM	Paper Title	Repository
HMA†	31.47	0.8585	HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
Hi-IR-L	31.55	0.8616	Hierarchical Information Flow for Generalized Efficient Image Restoration	-
HAT	31.33	0.8576	Activating More Pixels in Image Super-Resolution Transformer
HAN+	30.79	0.8487	Single Image Super-Resolution via a Holistic Attention Network
SwinOIR	30.65	0.8493	Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy
SwinFIR	31.24	0.8566	SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
CSNLN	30.66	0.8482	Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
ML-CrAIST	30.39	0.8488	ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
HAT-L	31.47	0.8584	Activating More Pixels in Image Super-Resolution Transformer
LTE	30.8	-	Local Texture Estimator for Implicit Representation Function
CPAT	31.15	0.8557	Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution	-
RED30	29.61	0.8341	Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
CPAT+	31.19	0.8559	Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution	-
LCSCNet	29.87	-	LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution
SRFBN	30.1	-	Feedback Network for Image Super-Resolution
Deep CNN Denoiser	27.72	-	Learning Deep CNN Denoiser Prior for Image Restoration
PMRN+	29.24	0.8087	Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution	-
HAT_FIR	31.37	-	SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
IPT	30.85	-	Pre-Trained Image Processing Transformer
MWCNN	30.16	-	Multi-level Wavelet-CNN for Image Restoration

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