AIGC赋能高效电影制作——以3D人体动画生成工具为例  

AIGC enables efficient film production-a case study of 3D human motion animation generation tool

作　　者：赵鋆凡 苏明扬 李秀 Zhao Junfan;Su Mingyang;Li Xiu(Tsinghua Shenzhen International Graduate School)

机构地区：[1]清华大学深圳国际研究生院,广东深圳518055

出　　处：《现代电影技术》2023年第7期4-9,共6页Advanced Motion Picture Technology

基　　金：《深圳市新一代互动媒体技术创新重点实验室》(ZDSYS20210623092001004)。

摘　　要：以Midjourney、Stable Diffusion为代表的AI内容生产工具在电影、游戏、广告等行业中扮演越来越重要的角色,ChatGPT的出现更是让AIGC的浪潮席卷全球。AIGC技术凭借其低成本、高效率的内容产出方式也势必会影响到现代电影的制作。随着Diffusion等生成算法的快速发展,学界在3D人体动画生成领域取得了突破性的进展,AI生成的3D人体动画在逼真性和多样性上已具备初步的应用价值。但是目前3D人体动画生成算法在实际应用到电影制作中时,仍然存在易用性差等问题,难以触达大部分的电影行业从业人员。本文总结了目前主流的3D人体动画生成算法,并基于目前主流的生成模型和Blender集成了一个易用性强的3D人体动画生成工具,可有效提高媒体制作效率。AIGC tools,represented by Midjourney and Stable Diffusion,are playing an increasingly important role in indus⁃tries such as film,game,and advertising.The emergence of ChatGPT has further propelled the wave of AIGC worldwide.With its low⁃cost and high⁃efficiency content generation approach,AIGC is bound to impact the modern film production pipeline.With the rapid development of generation models like Diffusion,breakthrough progress has been made in the field of 3D human motion animation generation.3D human motion animation generated by AI has demonstrated preliminary practical value in terms of vividness and diversity.However,the current 3D human motion animation generation algorithms still face challenges in practical application to film production in terms of poor usability,making it difficult to reach the major⁃ity of professionals in the film industry.This article summarises the mainstream 3D human motion animation generation al⁃gorithms and develops a user⁃friendly 3D human motion animation generation tool based on the current mainstream gen⁃eration models and Blender.This tool aims to effectively improve media production efficiency.

关 键 词：AIGC 3D人体动画生成 电影制作 

分 类 号：J954[艺术—电影电视艺术]