Semantic Image Style Transfer

Abstract

An image is a pictorial illustration of some object. The value of the image can be generated using a technique named as image style transfer method. Semantic content of a picture is an important aspect in the image processing also it is one of the complex methodologies in the image processing which helps the users to transfer an image into another format or another image. Previous approach has lack of image representation which explicitly characterize the semantic information which process the content of the image from different styles. It was advised to use the representation of image using the CNN (convolutional Neural Networks) which helps to recognize the object and gives high level image information. Creating style to splits and combines the style and context of the image which allows high perceptual quality image which combines the appearance of a snap into artwork. This approach generates a new visualization to illustrate the deep image which potentially provides a high and synthesis of image using the global by combining there different global content loss, global feature loss and global style loss.