Face reconstruction from a learned embedding

A computing system configured to obtain facial attribute data from an image of a face, the computing system comprising:

• at least one processor;
• a face modeler that is operable to receive a plurality of facial modeling parameter values and, in response to receipt of the plurality of facial modeling parameter values, output a model of a face;
• a machine-learned translation model trained on a set of training data that includes a plurality of example embeddings labeled with a plurality of example facial modeling parameter values usable by the face modeler, wherein the example embeddings are obtained by inputting example faces into a machine-learned image recognition model, said example faces being generated by the face modeler using the respective example facial modeling parameter values, and
• wherein the machine-learned translation model is operable to receive an embedding obtained from the machine-learned image recognition model and, in response to receipt of the embedding, output a plurality of facial modeling parameter values that are descriptive of a plurality of facial attributes of the face;
• at least one non-transitory computer-readable medium that stores instructions that, when executed by the at least one processor, cause the computing system to:
• obtain the embedding from the image recognition model, the embedding produced by the image recognition model in response to receipt of the image of the face by the image recognition model;
• input the embedding into the translation model;
• receive the plurality of facial modeling parameter values as an output of the translation model;
• input the plurality of facial modeling parameter values into said face modeler;
• and
• receive the model of the face as an output of the face modeler.