HyperAI

Image Super Resolution On Set5 3X Upscaling

Metrics

PSNR

Results

Performance results of various models on this benchmark

Model Name
PSNR
Paper TitleRepository
IMDN34.36Lightweight Image Super-Resolution with Information Multi-distillation Network
SRFBN34.70Feedback Network for Image Super-Resolution
HMA†35.35HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
DRCT35.18DRCT: Saving Image Super-resolution away from Information Bottleneck
LFFN-S34.04Lightweight Feature Fusion Network for Single Image Super-Resolution
LCSCNet33.99LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution
Deep CNN Denoiser31.26Learning Deep CNN Denoiser Prior for Image Restoration
CSNLN34.74Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
Hi-IR-L35.2Hierarchical Information Flow for Generalized Efficient Image Restoration-
ML-CrAIST34.7ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
AdaFM-Net34.34Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers
FACD34.729Feature-domain Adaptive Contrastive Distillation for Efficient Single Image Super-Resolution-
HAT_FIR35.21SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
DRCT-L35.32DRCT: Saving Image Super-resolution away from Information Bottleneck
DnCNN-333.75Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
SwinFIR35.15SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
PMRN+34.65Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution-
HAT35.16Activating More Pixels in Image Super-Resolution Transformer
RED3033.82Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
MWCNN34.17Multi-level Wavelet-CNN for Image Restoration
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