Publication Type

Journal Article

Version

publishedVersion

Publication Date

9-2017

Abstract

We address the problem of transferring the style of a headshot photo to face images. Existing methods using a single exemplar lead to inaccurate results when the exemplar does not contain sufficient stylized facial components for a given photo. In this work, we propose an algorithm to stylize face images using multiple exemplars containing different subjects in the same style. Patch correspondences between an input photo and multiple exemplars are established using a Markov Random Field (MRF), which enables accurate local energy transfer via Laplacian stacks. As image patches from multiple exemplars are used, the boundaries of facial components on the target image are inevitably inconsistent. The artifacts are removed by a post-processing step using an edge-preserving filter. Experimental results show that the proposed algorithm consistently produces visually pleasing results. (C) 2017 Elsevier Inc. All rights reserved.

Keywords

Style transfer, Image processing

Discipline

Information Security

Research Areas

Information Systems and Management

Publication

Computer Vision and Image Understanding

Volume

162

First Page

135

Last Page

145

ISSN

1077-3142

Identifier

10.1016/j.cviu.2017.08.009

Publisher

Elsevier

Additional URL

https://doi.org/10.1016/j.cviu.2017.08.009

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