Learn to unify local and non-local signal processings with graph CNN



Learn to unify local and non-local signal processings with graph CNN

Learn to unify local and non-local signal processings with graph CNN
Research Paper / Deep learning on irregular domain / Sep 2017 / Machine/Deep Learning/AI, Computer Vision, Image Process

This paper deals with the unification of local and non-local signal processing on graphs within a single convolutional neural network (CNN) framework. Building upon recent works on graph CNNs, we propose to use convolutional layers that take as inputs two variables, a signal and a graph, allowing the network to adapt to changes in the graph structure. In this article, we explain how this framework allows us to design a novel method to perform style transfer.