HyperAI超神经

Image Super Resolution On Set5 2X 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

模型名称
PSNR
SSIM
Paper TitleRepository
RED3037.660.9599Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
c-DCSCN37.13.9569Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network
VDSR [[Kim et al.2016a]]37.53-Accurate Image Super-Resolution Using Very Deep Convolutional Networks
DRCT-L39.140.9658DRCT: Saving Image Super-resolution away from Information Bottleneck
HAT38.730.9637Activating More Pixels in Image Super-Resolution Transformer
HBPN38.130.961Hierarchical Back Projection Network for Image Super-Resolution
CPAT38.680.9633Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution-
DnCNN-337.58-Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
ML-CrAIST38.190.9617ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
N3Net37.57-Neural Nearest Neighbors Networks
FACD38.242-Feature-domain Adaptive Contrastive Distillation for Efficient Single Image Super-Resolution-
DBPN-RES-MR64-338.080.96Deep Back-Projection Networks for Single Image Super-resolution
MaIR+38.620.963MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration-
PMRN+38.220.9612Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution-
SwinOIR38.210.9614Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy
IMDN38.00-Lightweight Image Super-Resolution with Information Multi-distillation Network
CPAT+38.720.9635Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution-
DRCT38.720.9646DRCT: Saving Image Super-resolution away from Information Bottleneck
Deep CNN Denoiser35.05-Learning Deep CNN Denoiser Prior for Image Restoration
HyperRes36.690.94Hypernetwork-Based Adaptive Image Restoration
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