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Image Super Resolution On Urban100 2X

Metrics

PSNR
SSIM

Results

Performance results of various models on this benchmark

Paper Title
HMA†35.240.9513HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
DRCT-L35.170.9516DRCT: Saving Image Super-resolution away from Information Bottleneck
Hi-IR-L35.160.9505Hierarchical Information Flow for Generalized Efficient Image Restoration
HAT-L35.090.9505Activating More Pixels in Image Super-Resolution Transformer
HAT_FIR34.94-SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
CPAT+34.890.9487Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
HAT34.810.9489Activating More Pixels in Image Super-Resolution Transformer
CPAT34.760.9481Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
SwinFIR34.570.9473SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
DRCT34.540.9474DRCT: Saving Image Super-resolution away from Information Bottleneck
DRLN+33.540.9402Densely Residual Laplacian Super-Resolution
HAN+33.530.9398Single Image Super-Resolution via a Holistic Attention Network
LTE33.5-Local Texture Estimator for Implicit Representation Function
CSNLN33.250.9386Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
HBPN33.120.938Hierarchical Back Projection Network for Image Super-Resolution
ML-CrAIST33.040.937ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
ML-CrAIST-Li32.930.9361ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
DBPN-RES-MR64-332.920.935Deep Back-Projection Networks for Single Image Super-resolution
FACD32.878-Feature-domain Adaptive Contrastive Distillation for Efficient Single Image Super-Resolution
SwinOIR32.830.9353Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy
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Image Super Resolution On Urban100 2X | SOTA | HyperAI