A Study on Image Stylization Comparison and Creative Methods of Generative AI Platforms

This project is dedicated to studying the application of creative artificial intelligence systems in the field of art, especially the exploration and comparison of image stylization features. Relying on generally recognized intelligent tools for graphic creation, this project conducts comparative analysis on the image style characteristics, performance effects and detail reproduction capabilities produced by various platforms during the artistic creation stage. This study uses a research method that emphasizes both quantity and quality. By implementing comparative experiments and visual image analysis, it analyzes the different effects of images produced by multiple platforms in terms of style adjustment and artistic presentation. Different network platforms have obvious differences in visual art style, innovative expression and detail portrayal. These differences provide artists with a rich source of selection and creativity.

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Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1109/cste64638.2025.11092088
Primary Topic
Diverse Topics in Contemporary Research
Type
article
Field-Weighted Citation Impact
0.00
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article

A Study on Image Stylization Comparison and Creative Methods of Generative AI Platforms

Sangguk Lim, Rongbin Chen
Diverse Topics in Contemporary Research
article

A Study on Image Stylization Comparison and Creative Methods of Generative AI Platforms

Sangguk Lim, Rongbin Chen
article en

Abstract

This project is dedicated to studying the application of creative artificial intelligence systems in the field of art, especially the exploration and comparison of image stylization features. Relying on generally recognized intelligent tools for graphic creation, this project conducts comparative analysis on the image style characteristics, performance effects and detail reproduction capabilities produced by various platforms during the artistic creation stage. This study uses a research method that emphasizes both quantity and quality. By implementing comparative experiments and visual image analysis, it analyzes the different effects of images produced by multiple platforms in terms of style adjustment and artistic presentation. Different network platforms have obvious differences in visual art style, innovative expression and detail portrayal. These differences provide artists with a rich source of selection and creativity.

Youngsan University (KR), Guangzhou Vocational College of Science and Technology (CN)
Openalex Percentile: Top 75%
Diverse Topics in Contemporary Research
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A Study on Image Stylization Comparison and Creative Methods of Generative AI Platforms — Sangguk Lim, Rongbin Chen · (2025) | TGRS Research Map | TGRS