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Preprint Jul 2026

PhySR: Physics-Informed Neural Network for Super-Resolution Reconstruction in Radio Synthesis Imaging

PhySR is an end-to-end physics-informed neural network that combines a U-Net backbone, dynamic cascaded upsampling, a multiscale feature residual module, and a differentiable physical forward model incorporating the primary beam response, PSF convolution, and scale mapping that directly reconstructs high-resolution ima...

Hongkun Yang, Li Zhang, Ming Zhang et al. · 0 citations

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