Image style transfer is an underdetermined problem, where a large number of solutions can
satisfy the same constraint (the content and style). Although there have been some efforts to …

We re-define multimodality and introduce a simple approach to multimodal and arbitrary
style transfer. Conventionally, style transfer methods are limited to synthesizing a …

Transferring artistic styles onto everyday photographs has become an extremely popular
task in both academia and industry. Recently, offline training has replaced online iterative …

Arbitrary image style transfer is a challenging task which aims to stylize a content image
conditioned on arbitrary style images. In this task the feature-level content-style …

Style transfer aims to reproduce content images with the styles from reference images.
Existing universal style transfer methods successfully deliver arbitrary styles to original …

An assumption widely used in recent neural style transfer methods is that image styles can
be described by global statics of deep features like Gram or covariance matrices. Alternative …

Neural style transfer, which has attracted great attention in both academic research and
industrial engineering and demonstrated very exciting and remarkable results, is the …

Image style transfer (IST) is a hot topic in the computer vision community, which refers to
learning the distribution of a given style image to convert any image into corresponding …

The neural style transfer has achieved a significant improvement with deep learning
methods. However, the existing methods are susceptible to lack the ability for handling the …

Fast arbitrary neural style transfer has attracted widespread attention from academic,
industrial and art communities due to its flexibility in enabling various applications. Existing …