Although arbitrary style transfer has been a hot topic in computer vision, most existing
methods that directly align style and content features frequently result in unnatural effects in …

Stylized text-to-image generation focuses on creating images from textual descriptions while
adhering to a style specified by reference images. However, subtle style variations within …

While retaining the original content structure, image style transfer uses style image to render
it to obtain stylized images with artistic features. Because the content image contains …

The field of neural style transfer (NST) has witnessed remarkable progress in the past few
years, with approaches being able to synthesize artistic and photorealistic images and …

Minority ethnic patterns in China, reflecting diverse cultures, serve as symbols of ethnic
identity and cultural heritage. However, the current artistic domain of minority ethnic patterns …

In this paper, we propose a novel framework named DRL-CPG to learn disentangled latent
representation for controllable person image generation, which can produce realistic person …

Researchers have recently proposed arbitrary style transfer methods based on various
model frameworks. Although all of them have achieved good results, they still face the …

Text-to-image diffusion models can be fine-tuned in custom domains to adapt to specific
user preferences, but such adaptability has also been utilized for illegal purposes, such as …

Artistic Neural Style Transfer (NST) has achieved remarkable success for images. However,
this is not the case for dynamic 3D environments, such as computer games, where temporal …

Facial highlight removal aims to identify and remove the specular highlight components in
the facial image, ensuring that the generated image has a consistent facial tone and high …