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Highlights in Science, Engineering and Technology AICT 2023

Volume 56 (2023)

148

AIGC Technology: Reshaping the Future of the Animation

Industry

Rui Gao

North University of China, Taiyuan 030051, China

Abstract. This paper explores the transformative role of Artificial Intelligence-assisted Generative

Content (AIGC) technology in the animation industry. AIGC's key components, including Generative

Adversarial Networks (GANs), Natural Language Processing (NLP), Reinforcement Learning, Virtual

Reality (VR), and Augmented Reality (AR) are elucidated. The technology is seen to catalyze

innovations in character and scene design, storyline construction, and scriptwriting, enhancing

creativity and efficiency. AIGC's application in music and sound effects production, special effects

and editing workflows, as well as in rendering and collaboration stages is also discussed,

showcasing the improved work efficiency and quality of final products achieved through AI-assisted

tools. Through a case study of the pioneering AIGC-assisted animation, "The Dog and the Boy," we

demonstrate the potential of AIGC in driving commercial animation. Despite its current limitations,

the study concludes that AIGC technology is poised to reshape the animation industry, promising a

future marked by enhanced creative expression, increased efficiency, and the successful integration

of AI in traditional workflows.

Keywords: AIGC; animation industry; production efficiency; character design; scene creation; music

composition; collaborative production; future landscape.

1. Introduction

The introduction of Artificial Intelligence in Graphics and Creativity (AIGC) technologies marks

a significant leap forward in the realm of digital media. AIGC integrates the principles of AI with the

processes of graphic design and creative production, leading to unprecedented advancements in the

domain. The technology holds a crucial position in the current technological landscape, given its

potential to revolutionize various aspects of creative industries, particularly animation.

The utilization of AIGC in the animation industry signifies a shift in the paradigms of creative

production and realization. From automating rudimentary tasks to enhancing the efficiency and

quality of complex production processes, AIGC technologies promise to reshape the future of

animation in ways previously unimaginable. This paper aims to shed light on the application of AIGC

in the animation industry and the potential transformations it could trigger in the future.

2. Literature Review

The integration of Artificial Intelligence (AI) into various sectors has driven innovative

developments, with AI-assisted Generative Content (AIGC) technology triggering significant shifts

in animation. This review condenses key elements and applications of AIGC, emphasizing Generative

Adversarial Networks (GANs), Natural Language Processing (NLP), Reinforcement Learning,

Virtual Reality (VR), and Augmented Reality (AR).

GANs have become a cornerstone in AI, generating new content through adversarial training

between two neural networks. Their role in animation involves creating realistic textures, characters,

and environments, lightening the artists' workload and enhancing visual quality (Goodfellow et al.,

2014; Karras et al., 2019).

NLP allows computers to comprehend and process human language, resulting in efficient, dynamic

storytelling. Additionally, Reinforcement Learning aids procedural animations by training agents to

execute complex tasks, promoting interactive, adaptive storytelling experiences (Sutton & Barto,

2018; Vaswani et al., 2017).

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