This web-based application demonstrates hybrid methods for style transfer, enabling users to create unique digital artworks. It highlights the advancements in deep learning techniques for image optimization.
Image style transfer has caught the interest and attention of researchers in artificial intelligence research. This emerging deep learning technique has shown impressive results for the past few years. Yet, a very limited number of application- ready platforms to leverage these image optimization techniques and visualize the artistic output. Therefore, we have developed a web-based image style transfer application – a platform for a user to experience the deep learning-based approaches to style transfer a digital image. We offered two (2) different methods for generating the style-transferred artwork. The DeepAI web application is available at the website (https://deepai.asia) which allows users to create unique artwork by embedding the style on their selected image.
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Yusof et al. (2025) studied this question.
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