With appealing visual effects, kinetic typography (animated text) has prevailed in movies, advertisements, and social media. However, it remains challenging and time-consuming to craft its animation scheme. We propose an automatic framework to transfer the animation scheme of a rigid body on a given meme GIF to text in vector format. First, the trajectories of key points on the GIF anchor are extracted and mapped to the text's control points based on local affine transformation. Then the temporal positions of the control points are optimized to maintain the text topology. We also develop an authoring tool that allows intuitive human control in the generation process. A questionnaire study provides evidence that the output results are aesthetically pleasing and well preserve the animation patterns in the original GIF, where participants were impressed by a similar emotional semantics of the original GIF. In addition, we evaluate the utility and effectiveness of our approach through a workshop with general users and designers.

翻译：动态排版（动画文本）凭借其引人入胜的视觉效果，已在电影、广告和社交媒体中广泛应用。然而，其动画方案的设计仍具挑战性且耗时。我们提出一种自动框架，将给定模因GIF中刚体的动画方案迁移至矢量格式文本。首先，提取GIF锚点上关键点的运动轨迹，并基于局部仿射变换将其映射至文本的控制点；随后，优化控制点的时间位置以维持文本拓扑结构。我们还开发了一款创作工具，允许用户在生成过程中进行直观的人机交互。问卷研究表明，输出结果在美学上令人愉悦，且较好地保留了原始GIF的动画模式——参与者对原始GIF中相似的情感语义印象深刻。此外，我们通过面向普通用户和设计师的工作坊，评估了该方法的实用性与有效性。