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人工智能生成内容(AIGC)驱动的电影虚拟角色面部特效研究

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为研究AIGC技术对特效领域中虚拟非人角色表情制作带来的变革,本文结合当下主流国产AI大模型,对影视级虚拟角色表情特效制作开展实验,并提出制作思路和优化的制作流程.实验结果基本满足影视作品虚拟预演(PreViz)快速制作的技术要求,可用于电影特效镜头的辅助制作.本文最后总结了该实验方法的可拓展性及迭代方向.
Research on AIGC-driven facial animation for film virtual characters
Aiming at exploring the revolution that artificial intelligence generated content technology,also known as AIGC technology,brought to the production of facial animation for virtual non-human characters in the field of VFX,integrating with current leading domestic AI large language models,this paper conducts experiments towards the professional produc-tion of facial animation for virtual characters,then proposes an optimized production workflow.The results could meet the technical requirements for rapid previsualisation of virtual characters in film productions and could assisting production for special effects shots.For conclusion,this article summerises the expansibility and elevating directions of the proposed methodology.

AIGCMotion CaptureText-to-VideoFacial AnimationDomestic Large Language Models

吴方强、徐沁雪、周冰

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北京电影学院摄影系,北京 100088

北京电影学院表演学院,北京 100088

AIGC 动作捕捉 文生视频 表情特效 国产大模型

2024

现代电影技术
广电总局电影技术质量检测所

现代电影技术

CSTPCD
影响因子:0.149
ISSN:1673-3215
年,卷(期):2024.(11)