Abstract
Text animation serves as an expressive medium, transforming static communication into dynamic experiences by infusing words with motion to evoke emotions, emphasize meanings, and construct compelling narratives. Crafting animations that are semantically aware poses significant challenges, demanding expertise in graphic design and animation. We present an automated text animation scheme, termed "Dynamic Typography", which combines two challenging tasks. It deforms letters to convey semantic meaning and infuses them with vibrant movements based on user prompts. Our technique harnesses vector graphics representations and an end-to-end optimization-based framework. This framework employs neural displacement fields to convert letters into base shapes and applies per-frame motion, encouraging coherence with the intended textual concept. Shape preservation techniques and perceptual loss regularization are employed to maintain legibility and structural integrity throughout the animation process. We demonstrate the generalizability of our approach across various text-to-video models and highlight the superiority of our end-to-end methodology over baseline methods, which might comprise separate tasks. Through quantitative and qualitative evaluations, we demonstrate the effectiveness of our framework in generating coherent text animations that faithfully interpret user prompts while maintaining readability. Our code is available at: this https URL.
Abstract (translated)
文本动画是一种表达性的媒介，通过将文字注入运动以唤起情感、强调意义并构建引人入胜的故事，将静态通信转化为动态体验。打造语义意识到的动画 poses 显著的挑战，需要掌握图形设计和动画的专业知识。我们提出了一个自动文本动画方案，称为“动态字体”，结合了两个具有挑战性的任务。它通过变形字母来传达语义意义，并基于用户提示充满活力地注入生动的运动。我们的技术利用了向量图形表示和基于端到端优化的框架。该框架采用神经微分场来将字母转换为基本形状，并应用每一帧的运动，鼓励与预期文本概念的连贯性。形状保留技术和感知损失 regularization 被采用来保持动画过程的清晰度和结构完整性。我们通过定量和定性评估证明了我们的方法在生成连贯的文本动画，同时保留可读性的效果。我们的代码可在此处访问：https://this URL。
URL
https://arxiv.org/abs/2404.11614
