Real Face Video Animation Platform

• URL: http://arxiv.org/abs/2407.18955v1
• Date: Fri, 12 Jul 2024 14:17:41 GMT
• Title: Real Face Video Animation Platform
• Authors: Xiaokai Chen, Xuan Liu, Donglin Di, Yongjia Ma, Wei Chen, Tonghua Su,
• Abstract summary: We propose a facial animation platform that enables real-time conversion from real human faces to cartoon-style faces. 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.
• Score: 8.766564778178564
• License: http://creativecommons.org/licenses/by/4.0/
• 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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