Work

End-to-End Design of Webtoon-Style Portrait Stylization System for Real-World Demo Booth

Year: 2025

Type: article

Abstract: Webtoon-style portrait stylization has gained prominence across various fields, including social media, virtual characters, and the Metaverse, with significant applications in demo booths for real-time audience interaction. However, achieving high-quality, real-time stylizations presents challenges, such as preserving facial identity while maintaining the webtoon aesthetics and ensuring robustness to diverse inputs. This study explores diffusion-based generative models for webtoon-style portrait stylization, focusing on real-world scenarios such as demo booths. We address challenges such as artifact reduction and adaptability to varying inputs, showcasing the potential of diffusion models to enhance interactive and artistic applications, particularly in demo booth settings.

Source: IEEE Access

DOI: 10.1109/access.2025.3578868

Authors: Sojeong Kim, Bong-Soo Sohn, Jaesung Lee

Institution: Chung-Ang University

Language: English

Topic: Generative Adversarial Networks and Image Synthesis

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,075

Funders: Chung-Ang University, Institute for Information and Communications Technology Promotion