FACE RECONSTRUCTION FROM A LEARNED EMBEDDING

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-learnedimage recognition model with a face modeler that uses a morphable model of a human's facial app...

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Bibliographische Detailangaben
Hauptverfasser: COLE FORRESTER H, BELANGER DAVID BENJAMIN, KRISHMAN DILIP, FREEMAN WILLIAM T
Format: Patent
Sprache:chi ; eng
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Zusammenfassung: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-learnedimage 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. 本公开提供了种基于面部图像执行面部重建的系统和方法。特别地,本公开的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,其响应于接收到图像(例如,面部的非受控图像)而生成嵌入。示例系统还可以包括结