Arbitrary style transfer (AST) transfers arbitrary artistic styles onto content images. Despite
the recent rapid progress, existing AST methods are either incapable or too slow to run at …

Makeup transfer (MT) aims to transfer the makeup style from a given reference makeup face
image to a source image while preserving face identity and background information. In …

Recent studies have made tremendous progress in neural style transfer (NST) and various
methods have been advanced. However, evaluating and improving the stylization quality …

In this paper, we present the texture reformer, a fast and universal neural-based framework
for interactive texture transfer with user-specified guidance. The challenges lie in three …

In diversified image style transfer tasks, the goal is to translate an everyday photograph to
diverse stylized images conditioned on the style of an artwork. Although several style …

Most of the existing image style transfer algorithms transfer the whole image style as a
whole. Style feature is a set of correlation matrix based on style image, namely Gram matrix …

Artistic style transfer aims to create new artistic images by rendering a given photograph with
the target artistic style. Existing methods learn styles simply based on global statistics or …

People are becoming more and more aware of the value of design throughout a product's
entire life cycle as a result of the fierce competition for industrial products that exists today …

With the rapid development of the economy, the aspirations for spiritual fulfillment have
transcended material demands, fostering a greater appreciation for artistic lifestyles. Artistic …

Recently, there has been increased interest in the application of Generative Adversarial
Networks (GANs) to the creation of artistic images. The art community has been particularly …