The artistic style within a painting is the means of expression, which includes not only the
painting material, colors, and brushstrokes, but also the high-level attributes, including …

The goal of image style transfer is to render an image with artistic features guided by a style
reference while maintaining the original content. Owing to the locality in convolutional neural …

In this work, we tackle the challenging problem of arbitrary image style transfer using a novel
style feature representation learning method. A suitable style representation, as a key …

Content and style (CS) disentanglement is a fundamental problem and critical challenge of
style transfer. Existing approaches based on explicit definitions (eg, Gram matrix) or implicit …

In this paper, we aim to devise a universally versatile style transfer method capable of
performing artistic, photo-realistic, and video style transfer jointly, without seeing videos …

Large-scale text-to-image models pre-trained on massive text-image pairs show excellent
performance in image synthesis recently. However, image can provide more intuitive visual …

To deliver the artistic expression of the target style, recent studies exploit the attention
mechanism owing to its ability to map the local patches of the style image to the …

Recent studies have shown remarkable success in universal style transfer which transfers
arbitrary visual styles to content images. However, existing approaches suffer from the …

Content affinity loss including feature and pixel affinity is a main problem which leads to
artifacts in photorealistic and video style transfer. This paper proposes a new framework …

Recent progresses in large-scale text-to-image models have yielded remarkable
accomplishments, finding various applications in art domain. However, expressing unique …