HyperAI

Image Super Resolution On Bsd100 2X Upscaling

Metrics

PSNR

Results

Performance results of various models on this benchmark

Model Name
PSNR
Paper TitleRepository
MWCNN32.23Multi-level Wavelet-CNN for Image Restoration
SwinFIR32.64SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
Hi-IR-L32.77Hierarchical Information Flow for Generalized Efficient Image Restoration-
CARN [[Ahn et al.2018]]32.09Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network
DnCNN-331.9Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
HAT-L32.74Activating More Pixels in Image Super-Resolution Transformer
WaveMixSR-V233.12WaveMixSR-V2: Enhancing Super-resolution with Higher Efficiency
FALSR-A32.12Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search
RED3031.99Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
IMDN32.19Lightweight Image Super-Resolution with Information Multi-distillation Network
CPAT32.64 Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution-
DRCT-L32.90DRCT: Saving Image Super-resolution away from Information Bottleneck
LTE32.44Local Texture Estimator for Implicit Representation Function
HAT_FIR32.71SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
SwinOIR32.34Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy
SRFBN32.29Feedback Network for Image Super-Resolution
CSNLN32.4Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
IPT32.48Pre-Trained Image Processing Transformer
FSRCNN [[Dong et al.2016]]31.53Accelerating the Super-Resolution Convolutional Neural Network
HMA†32.79HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
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