Face anonymization in digital images

A system comprising:

• a memory component;
• and
• a processing device coupled to the memory component, the processing device to perform operations comprising:
• receiving a target digital image depicting a target object;
• automatically editing the target digital image to remove a portion of the target digital image around the target object;
• encoding, using a machine learning model, data related to the target digital image to generate a target encoding including feature vectors representing three-dimensional aspects of a pose of the target object;
• generating, using the machine learning model, data including a descriptor of the pose of the target object based on the target encoding;
• generating a search query for a reference object in a reference digital image based on the descriptor of the pose of the target object;
• executing a search of digital images using the search query;
• automatically selecting the reference digital image from candidate digital image results resulting from the search query by comparing the feature vectors representing the three-dimensional aspects of the pose of the target object and feature vectors representing three-dimensional aspects of poses of candidate objects of the candidate digital image results;
• and
• generating a mixed object by editing the target digital image to incorporate a portion of the reference object.

A non-transitory computer-readable storage medium storing executable instructions, which when executed by a processing device, cause the processing device to perform operations comprising:

• receiving a target digital image depicting a target face;
• automatically editing the target digital image to remove a portion of the target digital image around the target face;
• encoding, using a machine learning model, data related to the target digital image to generate a target encoding including feature vectors representing three-dimensional aspects of a pose of the target face;
• generating, using the machine learning model, data including a descriptor of the pose of the target face based on the target encoding;
• generating a search query for a reference face in a reference digital image based on the descriptor of the pose of the target face;
• automatically selecting the reference digital image from candidate digital image results resulting from the search query by comparing the feature vectors representing the three-dimensional aspects of the pose of the target face and feature vectors representing three-dimensional aspects of poses of candidate faces of the candidate digital image results;
• and
• generating a mixed face by editing the target digital image to incorporate a portion of the reference face.