VidAnimator: User-Guided Stylized 3D Character Animation from Human Videos

August 03, 2025 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Xinwu Ye, Jun-Hsiang Yao, Jielin Feng, Shuhong Mei, Xingyu Lan, Siming Chen arXiv ID 2508.01878 Category cs.HC: Human-Computer Interaction Citations 1 Venue arXiv.org Last Checked 4 months ago
Abstract
With captivating visual effects, stylized 3D character animation has gained widespread use in cinematic production, advertising, social media, and the potential development of virtual reality (VR) non-player characters (NPCs). However, animating stylized 3D characters often requires significant time and effort from animators. We propose a mixed-initiative framework and interactive system to enable stylized 3D characters to mimic motion in human videos. The framework takes a single-view human video and a stylized 3D character (the target character) as input, captures the motion of the video, and then transfers the motion to the target character. In addition, it involves two interaction modules for customizing the result. Accordingly, the system incorporates two authoring tools that empower users with intuitive modification. A questionnaire study offers tangible evidence of the framework's capability of generating natural stylized 3D character animations similar to the motion in the video. Additionally, three case studies demonstrate the utility of our approach in creating diverse results.
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