Використання штучного інтелекту для зміни зовнішності людини в системах комп’ютерного зору

Abstract

This work is devoted to the study of artificial intelligence methods for modifying human appearance in computer vision systems. Modern approaches based on deep learning, including generative adversarial networks (GAN) and StyleGAN models, are analyzed. The possibilities of editing facial attributes, changing facial expressions, improving image quality and generating synthetic faces are considered. Particular attention is paid to the problems of realism, preservation of identity and detection of deepfake images