真实人脸视频动画平台
Real Face Video Animation Platform
AI总结：
针对现有模型生成夸张动漫风格人脸表现力不足的问题，提出基于Gradio的真实人脸视频动画平台，支持多模型实时将真实人脸转换为动漫风格，并利用多模型处理HDTF数据集构建了动漫人脸视频数据集。
摘要：
近年来，人脸视频生成模型日益普及。然而，由于缺乏高质量的动漫风格人脸训练集，这些模型在处理夸张的动漫风格人脸时往往缺乏表现力。我们提出了一种人脸动画平台，支持实时将真实人脸转换为卡通风格人脸，并支持多种模型。基于Gradio框架构建，我们的平台确保了出色的交互性和用户友好性。用户可以输入真实人脸视频或图像，并选择所需的卡通风格。系统随后将自动分析人脸特征，执行必要的预处理，并调用合适的模型来生成富有表现力的动漫风格人脸。我们在系统内采用了多种模型来处理HDTF数据集，从而创建了动漫人脸视频数据集。
英文摘要：
In recent years, facial video generation models have gained popularity. However, these models often lack expressive power when dealing with exaggerated anime-style faces due to the absence of high-quality anime-style face training sets. We propose a facial animation platform that enables real-time conversion from real human faces to cartoon-style faces, supporting multiple models. Built on the Gradio framework, our platform ensures excellent interactivity and user-friendliness. Users can input a real face video or image and select their desired cartoon style. The system will then automatically analyze facial features, execute necessary preprocessing, and invoke appropriate models to generate expressive anime-style faces. We employ a variety of models within our system to process the HDTF dataset, thereby creating an animated facial video dataset.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
