Computer Science > Computer Vision and Pattern Recognition
arXiv:2403.17694 (cs)
[Submitted on 26 Mar 2024]
Title:AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation
View a PDF of the paper titled AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation, by Huawei Wei and Zejun Yang and Zhisheng Wang
View PDFHTML (experimental)Abstract:In this study, we propose AniPortrait, a novel framework for generating high-quality animation driven by audio and a reference portrait image. Our methodology is divided into two stages. Initially, we extract 3D intermediate representations from audio and project them into a sequence of 2D facial landmarks. Subsequently, we employ a robust diffusion model, coupled with a motion module, to convert the landmark sequence into photorealistic and temporally consistent portrait animation. Experimental results demonstrate the superiority of AniPortrait in terms of facial naturalness, pose diversity, and visual quality, thereby offering an enhanced perceptual experience. Moreover, our methodology exhibits considerable potential in terms of flexibility and controllability, which can be effectively applied in areas such as facial motion editing or face reenactment. We release code and model weights atthis https URL
| Subjects: | Computer Vision and Pattern Recognition (cs.CV); Graphics (cs.GR); Image and Video Processing (eess.IV) |
| Cite as: | arXiv:2403.17694 [cs.CV] |
| (orarXiv:2403.17694v1 [cs.CV] for this version) | |
| https://doi.org/10.48550/arXiv.2403.17694 arXiv-issued DOI via DataCite |
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View a PDF of the paper titled AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation, by Huawei Wei and Zejun Yang and Zhisheng Wang
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