arXiv · 2407.18955
Real Face Video Animation Platform
Abstract
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.
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Xiaokai Chen, Xuan Liu, Donglin Di, Yongjia Ma, Wei Chen, Tonghua Su. 2024-07-12. Real Face Video Animation Platform. https://arxiv.org/abs/2407.18955
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