DeepAI: A Hybrid Method of Style Transfer Based on Instance Normalization and Feature Whitening

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.

Authors

Publication Details

Journal
International Journal of Research and Innovation in Social Science
Published
2025-09-27
DOI
https://doi.org/10.47772/ijriss.2025.909000032
Primary Topic
Handwritten Text Recognition Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

DeepAI: A Hybrid Method of Style Transfer Based on Instance Normalization and Feature Whitening

Siti Azirah Asmai, Noor Fazilla Abd Yusof, Goh Ong Sing
International Journal of Research and Innovation in Social Science
Handwritten Text Recognition Techniques
article

DeepAI: A Hybrid Method of Style Transfer Based on Instance Normalization and Feature Whitening

Siti Azirah Asmai, Noor Fazilla Abd Yusof, Goh Ong Sing
article en

Abstract

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.

International Journal of Research and Innovation in Social Science
Openalex Percentile: Top 74%
Handwritten Text Recognition Techniques
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