KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution. (arXiv:2209.10305v2 [cs.CV] UPDATED)

Although current deep learning-based methods have gained promising
performance in the blind single image super-resolution (SISR) task, most of
them mainly focus on heuristically constructing diverse network architectures
and put less emphasis on the explicit embedding of the physical generation
mechanism between blur kernels and high-resolution (HR) images. To alleviate
this issue, we propose a model-driven deep neural network, called KXNet, for
blind SISR. Specifically, to solve the classical SISR model, we propose a
simple-yet-effective iterative algorithm. Then by unfolding …

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