USING CONVOLUTIONAL NEURAL NETWORK STYLE TRANSFER TO AUTOMATE GRAPHIC DESIGN CREATION

摘要

A silhouette image and a style image are input to a convolutional neural network to produce respective content feature layer and pattern feature layers. A reference image is input into the convolutional neural network to determine reference feature layers. For each of a plurality of iterations, a combination loss of the convolutional neural network is minimized to obtain an output image comprising an abstraction of the style image within confines of the silhouette image. The combination loss includes a content loss based on the content feature layers and a style loss based on the pattern feature layers.