北京印刷学院学报2024,Vol.32Issue(5) :68-72.

AIGC驱动下的动画创作:技术变革、融合路径与风险挑战

Animation Creation Driven by AIGC:Technological Transformation,Integration Pathways,and Risk Challenges

贺京华 姜皖
北京印刷学院学报2024,Vol.32Issue(5) :68-72.

AIGC驱动下的动画创作:技术变革、融合路径与风险挑战

Animation Creation Driven by AIGC:Technological Transformation,Integration Pathways,and Risk Challenges

贺京华 1姜皖1
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作者信息

  • 1. 安徽师范大学,芜湖 241000
  • 折叠

摘要

2022年底,美国OpenAI公司发布了聊天机器人程序(Chat Generative Pre-trained Transformer,简称ChatGPT)这一划时代的人工智能产品,随即在世界范围内掀起了广泛的讨论热潮.人工智能作为一种全新的技术,对人们的日常生活和生产产生了深刻的影响.近年来,人工智能技术的发展重心由决策式人工智能(Artificial Intelligence,简称AI)转向了生成式AI,生成式AI在动画内容生产领域得到了广泛的运用,动画创作从创作本身转向了生成选择、从侧重三维技术向人工智能靠拢,生成式人工智能在剧本文案、角色场景设计、后期合成等环节均展现出巨大的潜力,但AI的运用仍然面临着情感表现不济、创意自主性缺失以及产学研用尚未成熟等文化、科技风险挑战.

Abstract

By the end of 2022,the US-based company OpenAI released ChatGPT,an epoch-making artificial intelligence product,which immediately sparked widespread discussion around the globe. As a new technology,artificial intelligence has had a profound impact on people's daily lives and production. In recent years,the development focus of AI technology has shifted from decision-based AI to generative AI. Generative AI has found extensive applications in the field of animation content production,transforming animation creation from a focus on the creative process itself to generating choices and moving closer to artificial intelligence from a 3D technical perspective. Generative AI has shown tremendous potential in areas such as script writing,character and scene design,and post-production synthesis. However,the application of AI still faces cultural and technological risks and challenges,including inadequate emotional expression,lack of creative autonomy,and the immaturity of the collaboration between academia,industry,and research.

关键词

AIGC/动画创作/生成式人工智能

Key words

AIGC/animation creation/generative artificial intelligence

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基金项目

安徽省质量工程项目(2020jyxm0687)

出版年

2024
北京印刷学院学报
北京印刷学院

北京印刷学院学报

影响因子:0.247
ISSN:1004-8626
参考文献量8
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