Portrait Photo Retouching

Portrait photo retouching research aims to automate and improve the process of enhancing portrait photographs, focusing on tasks like shadow manipulation, skin blemish removal, and body reshaping. Current approaches leverage deep learning, employing generative adversarial networks (GANs) and other architectures to achieve realistic and controllable edits, often incorporating user interaction for region-specific adjustments and prioritizing preservation of facial details and natural lighting. This field is significant for its potential to streamline professional workflows and provide accessible tools for high-quality image editing, impacting both the computer vision community and the broader photography industry.