Distortion-based image rendering

A computer-implemented method of training a generative artificial intelligence (AI) model, the method comprising:

• identifying a region of interest (ROI) within a control image of a human;
• generating a distorted control image by distorting the control image using a distortion function that distends the ROI by reconfiguring and augmenting pixels of the control image corresponding to the ROI to thereby expand the ROI relative to other regions of the control image;
• and
• generating, using a generative AI model, a distorted image, wherein the generative AI model learns to generate the distorted image against the distorted control image as distorted by the distortion function.

A system, comprising:

• one or more processors configured to execute operations including:
• generating, with a generative AI model, a distorted image of a digital human by enhancing a region of interest (ROI) within the distorted image relative to other regions of the distorted image;
• wherein the generative AI model is trained against a distorted control image generated using a distortion function to distort a control image used to guide image generation by the generative AI model, the distorted control image generated by reconfiguring pixels of the control image with the distortion function and augmenting the pixels with pixels generated by interpolation;
• and
• generating an undistorted image of the digital human using a reverse distortion function to reverse distortion of the distorted image.