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Image Super Resolution On Urban100 4X

評価指標

PSNR
SSIM

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
PSNR
SSIM
Paper TitleRepository
BSRN26.030.7835Lightweight and Efficient Image Super-Resolution with Block State-based Recursive Network-
SRNTT-l225.5-Image Super-Resolution by Neural Texture Transfer-
NLRN25.790.7729Non-Local Recurrent Network for Image Restoration-
DBPN-RES-MR64-327.080.814Deep Back-Projection Networks for Single Image Super-resolution-
HAT_FIR28.43-SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution-
IDN25.410.7632Fast and Accurate Single Image Super-Resolution via Information Distillation Network-
LapSRN25.210.756Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution-
HAN+27.020.8131Single Image Super-Resolution via a Holistic Attention Network-
HBPN27.30.818Hierarchical Back Projection Network for Image Super-Resolution-
SwinIR27.450.8254 SwinIR: Image Restoration Using Swin Transformer-
CSNLN27.220.8168Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining-
SRGAN + Residual-in-Residual Dense Block27.030.8153ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks-
SwinIR (DUKD)26.430.7972Data Upcycling Knowledge Distillation for Image Super-Resolution-
PixelRL-SR23.280.7517Multi-Step Reinforcement Learning for Single Image Super-Resolution
SwinOIR26.740.806Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy-
HMA†28.690.8512HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution-
RDN26.610.8028Residual Dense Network for Image Super-Resolution-
MWCNN26.270.7890Multi-level Wavelet-CNN for Image Restoration-
MaIR+27.890.8336MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration-
ENet-E25.660.7703EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis-
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