Modifying source data to generate hyperreal synthetic content

A method comprising:

• modifying, by one or more processors, source data representing images of a body part of a subject to obtain training data representing the images of the subject with a modified body part;
• training, by the one or more processors, one or more machine learning models using the training data to obtain one or more trained machine learning models;
• generating, by the one or more processors, using the one or more trained machine learning models based at least in part on input data representing an image featuring the modified body part of the subject, output data representing a synthetic body part;
• and
• generating, by the one or more processors, based at least in part on the output data, media data corresponding to media content featuring the synthetic body part.

A system comprising:

• one or more processors;
• and
• memory storing computer-executable instructions that, when executed by the one or more processors, cause performance of operations comprising:
• modifying source data representing images of a body part of a subject to obtain training data representing the images of the subject with a modified body part;
• training one or more machine learning models using the training data to obtain one or more trained machine learning models;
• generating, using the one or more trained machine learning models based at least in part on input data representing an image featuring the modified body part of the subject, output data representing a synthetic body part;
• and
• generating, based at least in part on the output data, media data corresponding to media content featuring the synthetic body part.