Techniques for re-aging faces in images and video frames

One or more non-transitory computer-readable storage media including instructions that, when executed by one or more processing units, cause the one or more processing units to perform steps for re-aging a face included in a first image, the steps comprising:

• generating an input age image corresponding to an input age associated with the face in the first image and a target age image associated with a target age of the face in the first image, wherein the input age image includes a first plurality of pixels having age values indicating the input age and the target age image includes a second plurality of pixels having age values indicating the target age, and wherein the first image, the input age image, and the target age image have the same spatial resolution;
• generating, via a machine learning model, a second image based on a multi-channel tensor provided to the machine learning model at execution, wherein the multi-channel tensor comprises (i) the first image that includes the face, (ii) an input age image, and (iii) a target age image, wherein the second image includes one or more differences from the first image;
• and
• combining the first image and the second image into a third image.