THE APPLICATION AND IMPACT OF AI-GENERATED CONTENT ON ANIMATION CREATION

Abstract

The purpose of this study is to explore the application and impact of artificial intelligence-generated content (AIGC) on animation development, focusing on how AIGC transforms traditional animation creation processes, challenges established artistic workflows, and explores its work in restoring animation quality. Methodology. This study comprehensively reviews the latest research findings on AIGC technology in animation through literature analysis. The research results are demonstrated through case analysis, illustrating the practical application of AIGC technology in animation creation and its technological advancements. Results. AIGC has significantly transformed the animation creation model by shifting from the traditional human collaboration approach to a more efficient human- AI collaboration model. In this new paradigm, creators can provide specific content and learning instructions to AI, enabling the AI to generate content that aligns with the creator's vision. This collaboration enhances the efficiency of the creative process, allowing creators to focus more on artistic expression and creativity. Traditionally, animation creation has been labor-intensive, requiring considerable time and human resources. AIGC tools now automate workflows involving text-toimage, image-to-video, and video-to-audio transformations. However, while AIGC tools excel at generating images and videos, audio design still relies on traditional methods due to the emotional and nuanced nature of sound creation, an area in which current AI technologies still struggle to replicate fully. Additionally, AIGC is proving invaluable in restoring classic animated films. With its powerful image processing capabilities, AIGC can repair damaged frames, enhance image quality, and restore color fidelity. This ability to revive and improve classic works highlights AIGC's potential to preserve animation history while enhancing the viewer experience. Scientific novelty. This paper highlights the pioneering use of AIGC in transforming traditional animation production methods, integrating advanced AI techniques across all stages of creation. The research offers new insights into how AIGC can enhance creativity and efficiency while reshaping artistic expressions in animation. Practical relevance. The findings provide critical knowledge for animation studios, filmmakers, and technologists exploring how to incorporate AIGC into their creative works effectively. The paper underscores the potential for AIGC to significantly reduce production costs, enhance creative possibilities, and extend the lifecycle of classic animated works, making it an indispensable tool in the evolving landscape of animation.