Shape and geometric patterns are essential in defining stylistic identity. However current 3D
style transfer methods predominantly focus on transferring colors and textures often …

Despite the ubiquitous use of materials maps in modern rendering pipelines, their editing
and control remains a challenge. In this paper, we present an example‐based material …

Color calibration is a critical step for unmanned aerial vehicle (UAV) remote sensing,
especially in precision agriculture, which relies mainly on correlating color changes to …

This paper firstly presents old photo modernization using multiple references by performing
stylization and enhancement in a unified manner. In order to modernize old photos, we …

Style transfer driven by text prompts paved a new path for creatively stylizing the images
without collecting an actual style image. Despite having promising results, with text-driven …

Deep generative models are effective in style transfer. Previous methods learn one or
several specific artist-style from a collection of artworks. These methods not only …

(57) ABSTRACT A style transfer neural network may be used to generate stylized synthetic
images, where real images provide the style (eg, seasons, weather, lighting) for transfer to …

Creating artistic 3D scenes can be time-consuming and requires specialized knowledge. To
address this, recent works such as ARF [57], use a radiance field-based approach with style …

The goal of arbitrary Neural Style Transfer (NST) is to transform a content image into a
different style. Based on the assumption that styles can be represented by global statistics …

In this study, two remarkable applications of convolutional neural network, ie texture
synthesis and style transfer are applied to batik texture. Individual layers from four pre …