Simplified annotation-free domain transfer for facial avatars

A method for generating an image, comprising:

• obtaining a first image, wherein the first image is associated with a first image domain;
• converting, using a machine learning (ML) model, the first image into a second image domain to generate a second image;
• generating a first set of domain agnostic features for the first image;
• generating a second set of domain agnostic features for the second image;
• determining a loss value based on a comparison of the first set of domain agnostic features and the second set of domain agnostic features;
• adjusting the ML model based on the loss value;
• and
• generating a third image in the second image domain based on the adjusted ML model.

A non-transitory computer-readable medium having stored thereon instructions that, when executed by at least one processor, cause the at least one processor to:

• obtain a first image, wherein the first image is associated with a first image domain;
• convert, using a machine learning (ML) model, the first image into a second image domain to generate a second image;
• generate a first set of domain agnostic features for the first image;
• generate a second set of domain agnostic features for the second image;
• determine a loss value based on a comparison of the first set of domain agnostic features and the second set of domain agnostic features;
• adjust the ML model based on the loss value;
• and
• generate a third image in the second image domain based on the adjusted ML model.