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Dynamic Storyboard Generation in an Engine-based Virtual Environment for Video Production

Authors :
Rao, Anyi
Jiang, Xuekun
Guo, Yuwei
Xu, Linning
Yang, Lei
Jin, Libiao
Lin, Dahua
Dai, Bo
Publication Year :
2023

Abstract

Amateurs working on mini-films and short-form videos usually spend lots of time and effort on the multi-round complicated process of setting and adjusting scenes, plots, and cameras to deliver satisfying video shots. We present Virtual Dynamic Storyboard (VDS) to allow users storyboarding shots in virtual environments, where the filming staff can easily test the settings of shots before the actual filming. VDS runs on a "propose-simulate-discriminate" mode: Given a formatted story script and a camera script as input, it generates several character animation and camera movement proposals following predefined story and cinematic rules to allow an off-the-shelf simulation engine to render videos. To pick up the top-quality dynamic storyboard from the candidates, we equip it with a shot ranking discriminator based on shot quality criteria learned from professional manual-created data. VDS is comprehensively validated via extensive experiments and user studies, demonstrating its efficiency, effectiveness, and great potential in assisting amateur video production.<br />Comment: Project page: https://virtualfilmstudio.github.io/

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2301.12688
Document Type :
Working Paper