Image style transfer aims at synthesizing an image with the content from one image and the
style from another. User studies have revealed that the semantic correspondence between …

Recently, image style transfer has drawn great attention in computer vision area with its
successful applications in digital entertainment and social media. Much of the research …

In our present age, there are numerous applications and devices for converting a standard
picture into a picture, which is built from its predominant shading palettes.'predominant …

Image style transfer is an emerging technique based on deep learning, which takes
advantage of the impressive feature extraction of convolutional neural networks (CNN). The …

Different image styles play a significant role in the human vision. Image rendering methods
with non-photorealistic rendering based can simulate different illustrations and increase its …

Image style transfer renders the content of an image into different styles. Current methods
made decent progress with transferring the style of single image, however, visual statistics …

I argue that we need to increase our consideration of the interaction that is possible and/or
needed for the NPAR algorithms we develop. Depending on the application domain of a …

Image style transfer is a technique that applies artistic styles to natural images while
maintaining their original content structures. This technology has a broad spectrum of …

This paper presents an interactive system for transforming images into an oil paint look. The
system comprises two major stages. First, it derives dominant colors from an input image for …

Data insufficiency poses a significant challenge in Ka-band polarimetric synthetic aperture
radar (PolSAR) applications. Traditional PolSAR simulation approaches fail to conquer this …