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Stereo Image Super Resolution On Middlebury

Metrics

PSNR

Results

Performance results of various models on this benchmark

Paper Title
SwinFIRSSR30.44SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
NAFSSR-L30.20NAFSSR: Stereo Image Super-Resolution Using NAFNet
NAFSSR-B30.04NAFSSR: Stereo Image Super-Resolution Using NAFNet
LSSR29.92Learning Optimal Combination Patterns for Lightweight Stereo Image Super-Resolution
MSSFNet29.77Learning Accurate and Enriched Features for Stereo Image Super-Resolution
SSRDE-FNet29.38Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation
iPASSR29.16Symmetric Parallax Attention for Stereo Image Super-Resolution
PASSRnet28.72Learning Parallax Attention for Stereo Image Super-Resolution
StereoSR27.64Enhancing the Spatial Resolution of Stereo Images Using a Parallax Prior
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Stereo Image Super Resolution On Middlebury | SOTA | HyperAI