In this paper, we present a novel strategy to design disentangled 3D face
shape representation. Specifically, a given 3D face shape is decomposed into
identity part and expression part, which are both encoded and decoded in a
nonlinear way. To solve this problem, we propose an attribute decomposition
framework for 3D face mesh. To better represent face shapes which are usually
nonlinear deformed between each other, the face shapes are represented by a
vertex based deformation representation rather than Euclidean coordinates. The
experimental results demonstrate that our method has better performance than
existing methods on decomposing the identity and expression parts. Moreover,
more natural expression transfer results can be achieved with our method than
existing methods.

本文介绍了一种设计三维人脸形状表征的新策略。通过将面部形状分解为身份部分和表情部分进行非线性编码和解码，利用属性分解框架对三维面孔网格进行表示，以更好地表示通常在彼此之间非线性变形的面孔形状。实验结果表明，我们的方法在分解身份和表情部分方面比现有方法表现更好，而且可以使用我们的方法获得更自然的表情转移结果。