To simplify and accelerate the creation of blendshape rigs, using a template rig is a common procedure, especially during the creation of digital doubles. Blendshape transfer methods facilitate copy and paste functionality of the blendshapes from the template model to the digital double. However, for adequate personalization, such methods require a set of scanned training expressions of the original actor. So far, the semantics of the facial expressions to scan have been defined manually. In contrast, we formulate the semantics of the facial expressions as an integer optimization of the blendshape weights. By combining different blendshapes of the template model, our method creates facial expressions that serve as semantic references during scanning. Our method guarantees to compute as‐few‐as‐possible training expressions with minimal overlap of activated blendshapes. If the number of training expressions is limited, blendshapes are selected based on their power to personalize the resulting blendshapes compared to generic blendshape transfer methods.

中文翻译：

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表达式打包：用于 Blendshape 传输的尽可能少的训练表达式

为了简化和加速创建混合形状绑定，使用模板绑定是一个常见的过程，尤其是在创建数字替身期间。Blendshape 传输方法促进了 Blendshape 从模板模型到数字替身的复制和粘贴功能。然而，为了充分的个性化，这些方法需要一组原始演员的扫描训练表达式。到目前为止，要扫描的面部表情的语义是手动定义的。相比之下，我们将面部表情的语义表述为混合形状权重的整数优化。通过结合模板模型的不同混合形状，我们的方法创建面部表情，作为扫描过程中的语义参考。我们的方法保证以最小的激活混合形状重叠来计算尽可能少的训练表达式。如果训练表达式的数量有限，则根据其与通用混合形状传输方法相比个性化生成的混合形状的能力来选择混合形状。