Scaling AI filmmaking with collaborative networking

被引：0

作者：

Wang, Haohong ^{[1
]}

Smith, Daniel ^{[1
]}

Demir, Ugur ^{[1
,2
]}

机构：

[1] TCL Res Amer, San Jose, CA 95134 USA

[2] Northwestern Univ, Dept Elect & Comp Engn, Evanston, IL USA

来源：

IET COMMUNICATIONS | 2025年 / 19卷 / 01期

关键词：

distribution networks; information networks; learning (artificial intelligence); multimedia communication; social networking (online); video signal processing; video streaming;

D O I：

10.1049/cmu2.12877

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this work, MineStudio is introduced, a novel AI filmmaking framework designed to facilitate future creative collaborative networks. MineStudio uses a hybrid digitization approach that involves reconstructing 3D digital environments, capturing 2D live-action performances, employing AI tools to generate synthetic images and videos, and compositing with AI assistance. This method effectively addresses the main challenges in the current AI video generation, including consistency, directability, and issues with human actions and interactions. MineStudio has been utilized to create pioneering AI films, such as the love story "Next Stop Paris" and the sci-fi short film "Message in a Bot", and has been recognized as a trailblazer in the AI filmmaking industry.

引用

页数：15

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