Large Receptive Field Networks for High-Scale Image Super-Resolution
Large Receptive Field Networks for High-Scale Image Super-Resolution
Convolutional Neural Networks have been the backbone of recent rapid progress in Single-Image Super-Resolution. However, existing networks are very deep with many network parameters, thus having a large memory footprint and being challenging to train. We propose Large Receptive Field Networks which strive to directly expand the receptive field of …