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Image Super Resolution On Bsd100 2X Upscaling

Metrics

PSNR

Results

Performance results of various models on this benchmark

Paper Title
WaveMixSR-V233.12WaveMixSR-V2: Enhancing Super-resolution with Higher Efficiency
WaveMixSR33.08WaveMixSR: A Resource-efficient Neural Network for Image Super-resolution
DRCT-L32.90DRCT: Saving Image Super-resolution away from Information Bottleneck
HMA†32.79HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
Hi-IR-L32.77Hierarchical Information Flow for Generalized Efficient Image Restoration
DRCT32.75DRCT: Saving Image Super-resolution away from Information Bottleneck
HAT-L32.74Activating More Pixels in Image Super-Resolution Transformer
HAT_FIR32.71SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
HAT32.69Activating More Pixels in Image Super-Resolution Transformer
CPAT+32.66Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
SwinFIR32.64SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
CPAT32.64 Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
IPT32.48Pre-Trained Image Processing Transformer
DRLN+32.47Densely Residual Laplacian Super-Resolution
HAN+32.45Single Image Super-Resolution via a Holistic Attention Network
LTE32.44Local Texture Estimator for Implicit Representation Function
CSNLN32.4Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
SwinOIR32.34Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy
HBPN32.33Hierarchical Back Projection Network for Image Super-Resolution
SRFBN32.29Feedback Network for Image Super-Resolution
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Image Super Resolution On Bsd100 2X Upscaling | SOTA | HyperAI