Semantic CLIPstyler

Semantic CLIPstyler represents a significant advancement in text-based image style transfer, aiming to control and improve the accuracy of style application based solely on textual descriptions. Current research focuses on refining CLIP-based models, often incorporating semantic segmentation to prevent unwanted style "spillover" onto undesired image regions and to enhance control over the styling process. This approach offers a powerful alternative to traditional style transfer methods that rely on reference images, opening up new possibilities for creative image editing and artistic applications.