Skip navigation
Skip navigation

Identity-preserving face recovery from portraits

Shiri, Fatemeh; Yu, Xin; Porikli, Fatih; Hartley, Richard; Koniusz, Piotr


Recovering the latent photorealistic faces from their artistic portraits aids human perception and facial analysis. However, a recovery process that can preserve identity is challenging because the fine details of real faces can be distorted or lost in stylized images. In this paper, we present a new Identity-preserving Face Recovery from Portraits (IFRP) to recover latent photorealistic faces from unaligned stylized portraits. Our IFRP method consists of two components: Style Removal Network...[Show more]

CollectionsANU Research Publications
Date published: 2018
Type: Conference paper
Source: Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018
DOI: 10.1109/WACV.2018.00018


File Description SizeFormat Image
01_Shiri_Identity-preserving_face_2018.pdf776.42 kBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator