UI Binding Transfer for Bone-driven Facial Rigs

Jing Hou, Zhihe Zhao, Dongdong Weng*

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

We propose an automatic method to transfer the UI binding from a rigged model to a new target mesh. We use feed forward neural net-works to find the mapping functions between bones and controllers of source model. The learned mapping networks then become the initial weights of an auto-encoder. Then the auto-encoder is retrained using target controllers-bones pairs obtained by the mesh transfer and bones decoupling method. Our system only requires neutral expression of the target person but allows artists to customize other basic expressions, and is evaluated by the semantic reproducibility of basic expressions and the semantic similarity.

Original languageEnglish
Title of host publicationProceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages659-660
Number of pages2
ISBN (Electronic)9798350348392
DOIs
Publication statusPublished - 2023
Event2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023 - Shanghai, China
Duration: 25 Mar 202329 Mar 2023

Publication series

NameProceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023

Conference

Conference2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023
Country/TerritoryChina
CityShanghai
Period25/03/2329/03/23

Keywords

  • Animation
  • Computer graphics
  • Computer graphics
  • Computing methodologies
  • Computing methodologies
  • Graphics systems and interfaces
  • Procedural animation
  • Virtual reality

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