Blind Super-Resolution Kernel Estimation using an Internal-GAN

Sefi Bell-Kligler, Assaf Shocher, Michal Irani

Neural Information Processing Systems 

Super resolution (SR) methods typically assume that the low-resolution (LR) image was downscaled from the unknown high-resolution (HR) image by a fixed'ideal' downscaling kernel (e.g.

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