Minseok Kim, Wonjeong Seo, Sung-Hee Lee, Jungdam Won
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引用次数: 0
Abstract
We introduce ViSA (Virtual Stunt Actors), an interactive animation system designed to create realistic ballistic stunt actions frequently seen in filmmaking and TV production. By providing spatial constraints suitable for the desired stunt scene, our system generates physically plausible motions satisfying the given constraints. The problem is formulated as a deep reinforcement learning task, incorporating a novel state and action spaces, as well as straightforward yet effective rewards for ballistic stunt actions. Users can receive a fast response within several minutes and continue to choreograph complex stunt scenes in an interactive manner. We demonstrate ballistic stunt scenes resembling those in various films and TV dramas, such as traffic accidents, falling down stairs, and falls from buildings. The effectiveness of the technical components and design choices in our system is demonstrated through extensive comparisons, analyses, and ablation studies.
期刊介绍:
ACM Transactions on Graphics (TOG) is a peer-reviewed scientific journal that aims to disseminate the latest findings of note in the field of computer graphics. It has been published since 1982 by the Association for Computing Machinery. Starting in 2003, all papers accepted for presentation at the annual SIGGRAPH conference are printed in a special summer issue of the journal.