Generating a modified digital image utilizing a human inpainting model

This invention describes a computer system that can intelligently fill in missing or damaged parts of a digital image, specifically focusing on areas that portray a human. It works by using a special type of artificial intelligence called a generative adversarial neural network (GAN) to create new image data, guided by a structural map of the human and a parameter network that adjusts how the new parts blend in. The core idea is to generate a structural representation of the human and then fine-tune it with scaling and shifting adjustments to seamlessly complete the image.