A Style-Based Caricature Generator

Lamyanba Laishram, Muhammad Shaheryar, Jong Taek Lee, Soon Ki Jung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

A facial caricature is a creation of new artistic and exaggerated faces which translates into a real image to convey sarcasm or humor while keeping the identity of the subject. In this work, we proposed a new way to create caricatures by exaggerating facial features like the eyes and mouth while keeping the facial contour intact and a realistic style. Our method can be categorized into two steps. First, the facial exaggeration process transformed faces into caricature face images while maintaining facial contours. Second, the appearance style generator is trained in unpaired using the generated caricature faces to produce a facial caricature that can change to any realistic style of our preference. Experimental results show our model produces more realistic and disentangled caricature images as compared to some of the previous methods. Our method can also generate caricature images from real images.

Original languageEnglish
Title of host publicationFrontiers of Computer Vision - 29th International Workshop, IW-FCV 2023, Revised Selected Papers
EditorsInseop Na, Go Irie
PublisherSpringer Science and Business Media Deutschland GmbH
Pages71-82
Number of pages12
ISBN (Print)9789819949137
DOIs
StatePublished - 2023
EventProceedings of the 29th International Workshop on Frontiers of Computer Vision, IW-FCV 2023 - Yeozu, Korea, Republic of
Duration: 20 Feb 202322 Feb 2023

Publication series

NameCommunications in Computer and Information Science
Volume1857 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

ConferenceProceedings of the 29th International Workshop on Frontiers of Computer Vision, IW-FCV 2023
Country/TerritoryKorea, Republic of
CityYeozu
Period20/02/2322/02/23

Keywords

  • Caricature
  • Generative Adversarial Network
  • Style Generator

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