Real Face Video Animation Platform
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 8 of its 12 references that are in the map. First posted on arXiv 12 Jul 2024.
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8 of 12 references.
References · 8
- 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 6,013
- 2019Analyzing and Improving the Image Quality of StyleGANcited by 3,588
- 2017Universal Style Transfer via Feature Transformscited by 354
- 2023StyleTalk: One-shot Talking Head Generation with Controllable Speaking Stylescited by 92
- 2022Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfercited by 66
- 2023Implicit Identity Representation Conditioned Memory Compensation Network for Talking Head video Generationcited by 61
- 2023StyleGANEX: StyleGAN-Based Manipulation Beyond Cropped Aligned Facescited by 19
- 2024Deformable One-shot Face Stylization via DINO Semantic Guidancecited by 14
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