Proceedings of the 2025 4th International Conference on Social Sciences and Humanities and Arts (SSHA 2025)

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Research on Animation Stylization and Content Creation Based on Generative AI

Authors
Dan Liu1, 2, *
1Hefei Normal University, School of Fine Arts and Design, Hefei, Anhui, 230601, China
2Hefei Normal University, Research Center for Digital Preservation and Communication of Huizhou Cultural Heritage, Hefei, Anhui, 230601, China
*Corresponding author. Email: 28136576@qq.com
Corresponding Author
Dan Liu
Available Online 22 June 2025.
DOI
10.2991/978-2-38476-432-7_49How to use a DOI?
Keywords
Animation; Animation Stylization; Content Creation
Abstract

The animation industry is undergoing rapid transformation driven by Generative AI. This study explores the role of AI in animation, focusing on its impact on stylization and content creation. The findings contribute to the intersection of AI and the creative industry, providing insights for animators, researchers, and developers to promote AI-driven innovation in animation.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 4th International Conference on Social Sciences and Humanities and Arts (SSHA 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
22 June 2025
ISBN
978-2-38476-432-7
ISSN
2352-5398
DOI
10.2991/978-2-38476-432-7_49How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Dan Liu
PY  - 2025
DA  - 2025/06/22
TI  - Research on Animation Stylization and Content Creation Based on Generative AI
BT  - Proceedings of the 2025 4th International Conference on Social Sciences and Humanities and Arts (SSHA 2025)
PB  - Atlantis Press
SP  - 422
EP  - 427
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-432-7_49
DO  - 10.2991/978-2-38476-432-7_49
ID  - Liu2025
ER  -