User-Guided Facial Animation through an Evolutionary Interface

Research output: Contribution to journalArticlepeer-review

Abstract

We propose a design framework to assist with user-generated content in facial animation — without requiring any animation experience or ground truth reference. Where conventional prototyping methods rely on handcrafting by experienced animators, our approach looks to encode the role of the animator as an Evolutionary Algorithm acting on animation controls, driven by visual feedback from a user. Presented as a simple interface, users sample control combinations and select favourable results to influence later sampling. Over multiple iterations of disregarding unfavourable control values, parameters converge towards the user's ideal. We demonstrate our framework through two non-trivial applications: creating highly nuanced expressions by evolving control values of a face rig and non-linear motion through evolving control point positions of animation curves.

Original languageEnglish
Pages (from-to)165-176
Number of pages12
JournalComputer Graphics Forum
Volume38
Issue number6
Early online date19 Mar 2019
DOIs
Publication statusPublished - 20 Sep 2019

Keywords

  • animation interfaces
  • Animation → Animation Systems; Facial Animation; • Methods and Applications → Genetic Algorithms
  • facial animation
  • genetic algorithms
  • user-generated content

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design

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