Stylizing face images via multiple exemplars

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

11 Scopus Citations
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Author(s)

  • Yibing Song
  • Linchao Bao
  • Shengfeng He
  • Qingxiong Yang
  • Ming-Hsuan Yang

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)135-145
Journal / PublicationComputer Vision and Image Understanding
Volume162
Online published26 Aug 2017
Publication statusPublished - Sep 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.

Research Area(s)

  • Image processing, Style transfer

Citation Format(s)

Stylizing face images via multiple exemplars. / Song, Yibing; Bao, Linchao; He, Shengfeng; Yang, Qingxiong; Yang, Ming-Hsuan.

In: Computer Vision and Image Understanding, Vol. 162, 09.2017, p. 135-145.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review