从单个肖像生成可动画化的 3D 卡通人脸

Q1 Computer Science
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引用次数: 0

摘要

背景随着虚拟现实(VR)技术的发展,人们对定制三维头像的需求越来越大。然而,传统的三维头像建模方法要么耗时,要么无法保持与被建模者的相似性。本研究提出了一种新颖的框架,用于从单个肖像图像生成可动画化的三维卡通人脸。方法首先,我们使用 StyleGAN 将输入的真实世界肖像转为风格化的卡通图像。然后,我们提出了一种两阶段重建方法,以恢复具有详细纹理的三维卡通人脸。我们的两阶段策略首先基于模板模型进行粗略估计,然后在地标监督下通过非刚性变形完善模型。最后,我们提出了一种基于人工创建模板和变形转移的语义保护人脸重建方法。结论与之前的技术相比,定性和定量结果表明我们的方法实现了更好的准确性、美观性和相似性标准。此外,我们还证明了所提出的三维模型在实时面部动画方面的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generating animatable 3D cartoon faces from single portraits

Background

With the development of virtual reality (VR) technology, there is a growing need for customized 3D avatars. However, traditional methods for 3D avatar modeling are either time-consuming or fail to retain the similarity to the person being modeled. This study presents a novel framework for generating animatable 3D cartoon faces from a single portrait image.

Methods

First, we transferred an input real-world portrait to a stylized cartoon image using StyleGAN. We then proposed a two-stage reconstruction method to recover a 3D cartoon face with detailed texture. Our two-stage strategy initially performs coarse estimation based on template models and subsequently refines the model by nonrigid deformation under landmark supervision. Finally, we proposed a semantic-preserving face-rigging method based on manually created templates and deformation transfer.

Conclusions

Compared with prior arts, the qualitative and quantitative results show that our method achieves better accuracy, aesthetics, and similarity criteria. Furthermore, we demonstrated the capability of the proposed 3D model for real-time facial animation.

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来源期刊
Virtual Reality  Intelligent Hardware
Virtual Reality Intelligent Hardware Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
6.40
自引率
0.00%
发文量
35
审稿时长
12 weeks
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