E2F-Net: Eyes-to-Face Inpainting via StyleGAN Latent Space

arXiv:2403.12197v1 Announce Type: new
Abstract: Face inpainting, the technique of restoring missing or damaged regions in facial images, is pivotal for applications like face recognition in occluded scenarios and image analysis with poor-quality captures. This process not only needs to produce realistic visuals but also preserve individual identity characteristics. The aim of this paper is to inpaint a face given periocular region (eyes-to-face) through a proposed new Generative Adversarial Network (GAN)-based model called Eyes-to-Face Network (E2F-Net). The proposed approach extracts …

abstract aim analysis applications arxiv cs.ai cs.cv face face recognition identity image images inpainting pivotal process quality recognition space type via visuals