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FACE RECONSTRUCTION FROM A LEARNED EMBEDDING

机译:经学习的嵌入式面部重建

摘要

The present disclosure provides systems and methods that perform face reconstruction based on an image of a face. In particular, one example system of the present disclosure combines a machine-learned image recognition model with a face modeler that uses a morphable model of a human's facial appearance. The image recognition model can be a deep learning model that generates an embedding in response to receipt of an image (e.g., an uncontrolled image of a face). The example system can further include a small, lightweight, translation model structurally positioned between the image recognition model and the face modeler. The translation model can be a machine-learned model that is trained to receive the embedding generated by the image recognition model and, in response, output a plurality of facial modeling parameter values usable by the face modeler to generate a model of the face.
机译:本公开提供基于脸部图像执行脸部重构的系统和方法。特别地,本公开的一个示例系统将机器学习的图像识别模型与使用人的面部外观的可变形模型的面部建模器相结合。图像识别模型可以是深度学习模型,其响应于图像(例如,人脸的不受控制的图像)的接收而生成嵌入。示例系统可以进一步包括结构上位于图像识别模型和面部建模器之间的小型,轻量级的翻译模型。转换模型可以是机器学习的模型,其经过训练以接收由图像识别模型生成的嵌入,并作为响应,输出可由脸部建模者使用的多个脸部建模参数值,以生成脸部模型。

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