An Interactive System for Supporting Creative Exploration of Cinematic Composition Designs

Designing cinematic compositions, which involves moving cameras through a scene, is essential yet challenging in filmmaking. Machinima filmmaking provides real-time virtual environments for exploring different compositions flexibly and efficiently. However, producing high-quality cinematic compositions in such environments still requires significant cinematography skills and creativity. This paper presents Cinemassist, a tool designed to support and enhance this creative process by generating a variety of cinematic composition proposals at both keyframe and scene levels, which users can incorporate into their workflows and achieve more creative results. At the crux of our system is a deep generative model trained on real movie data, which can generate plausible, diverse camera poses conditioned on 3D animations and additional input semantics. Our model enables an interactive cinematic composition design workflow where users can co-design with the model by being inspired by model-generated suggestions while having control over the generation process. Our user study and expert rating find Cinemassist can facilitate the design process for users of different backgrounds and enhance the design quality especially for users with animation expertise, demonstrating its potential as an invaluable tool in the context of digital filmmaking.

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Publication Details

Published
2024-10-11
DOI
https://doi.org/10.1145/3654777.3676393
Citations
5
Primary Topic
Creativity in Education and Neuroscience
Type
article
Field-Weighted Citation Impact
2.54
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article

An Interactive System for Supporting Creative Exploration of Cinematic Composition Designs

Ying Cao, R. D. He, Huaxin Wei
5 citations
Creativity in Education and Neuroscience
2.54
article

An Interactive System for Supporting Creative Exploration of Cinematic Composition Designs

Ying Cao, R. D. He, Huaxin Wei
article en
5 citations

Abstract

Designing cinematic compositions, which involves moving cameras through a scene, is essential yet challenging in filmmaking. Machinima filmmaking provides real-time virtual environments for exploring different compositions flexibly and efficiently. However, producing high-quality cinematic compositions in such environments still requires significant cinematography skills and creativity. This paper presents Cinemassist, a tool designed to support and enhance this creative process by generating a variety of cinematic composition proposals at both keyframe and scene levels, which users can incorporate into their workflows and achieve more creative results. At the crux of our system is a deep generative model trained on real movie data, which can generate plausible, diverse camera poses conditioned on 3D animations and additional input semantics. Our model enables an interactive cinematic composition design workflow where users can co-design with the model by being inspired by model-generated suggestions while having control over the generation process. Our user study and expert rating find Cinemassist can facilitate the design process for users of different backgrounds and enhance the design quality especially for users with animation expertise, demonstrating its potential as an invaluable tool in the context of digital filmmaking.

Hong Kong Polytechnic University (HK), ShanghaiTech University (CN)
Openalex Percentile: Top 10%
Creativity in Education and Neuroscience
2.54
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