Author(s)

Chaoran Tong ¹, Shi Yang ², Lei Que ¹

Affiliation(s)

¹ School of Fine Arts and Design, Guangzhou University, Guangzhou, Guangdong, 510006, China
² Academy of Fine Arts, Guangdong University of Education, Guangzhou, Guangdong, 510812, China

Corresponding Author

Shi Yang

ABSTRACT

Animation design faces problems such as high time consumption and difficulty in achieving efficient bilingual content creation, resulting in resource waste and slow market response speed. This article studies the design of bilingual animation based on AIGC (Artificial Intelligence Generated Content), aiming to improve the efficiency and language adaptability of animation production. First, natural language processing technology is used to automatically generate bilingual scripts to ensure language accuracy and cultural adaptability. Next, deep learning models are applied to automatically generate and render characters and scenes. Finally, machine translation tools are used to perform real-time bilingual processing and proofreading of the animation content. Experimental results show that this method reduces animation production time by 50% and achieves bilingual accuracy of 95%. The conclusion shows that AIGC technology has significantly improved production efficiency and language processing capabilities in bilingual animation design, providing innovative solutions for animation production in the multilingual market. 

KEYWORDS

AIGC; Bilingual Animation; Natural Language Processing; Dynamic Proofreading

CITE THIS PAPER

Chaoran Tong, Shi Yang, Lei Que, Design and Research of Generating Bilingual Animation Based on AIGC. Journal of Image Processing Theory and Applications (2024) Vol. 7: 117-124. DOI: http://dx.doi.org/10.23977/jipta.2024.070114.

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