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.
Cite
@article{arxiv.2407.18955,
title = {Real Face Video Animation Platform},
author = {Xiaokai Chen and Xuan Liu and Donglin Di and Yongjia Ma and Wei Chen and Tonghua Su},
journal= {arXiv preprint arXiv:2407.18955},
year = {2024}
}