Blind Image Super-Resolution with Spatially Variant Degradations

We propose a novel approach for single image super-resolution to simultaneously predict high resolution images and the degradation kernels.

A Fully Progressive Approach to Single-Image Super-Resolution

We set a new benchmark for single-image super-resolution by exploiting progressiveness both in architecture and training. The proposed multi-scale models, **ProSR** and **ProSRGan**, improve the reconstruction quality in terms of PSNR and visual quality respectively. ProSR is one of the winning teams.