Image Stylization

Image stylization aims to modify the visual style of an image while preserving its content, a task increasingly tackled using deep learning models. Current research focuses on improving controllability and efficiency, employing diffusion models, neural radiance fields, and graph neural networks to achieve diverse stylization effects from single reference images or text prompts, often incorporating techniques like attention mechanisms and feature disentanglement. These advancements have implications for various applications, including artistic creation, virtual reality, and computer game development, by enabling more realistic and customizable visual experiences.