FACTS: Facial Animation Creation using the Transfer of Styles
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Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
The ability to accurately capture and express emotions is a critical aspect of creating believable characters in video games and other forms of entertainment. Traditionally, this animation has been achieved with artistic effort or performance capture, both requiring costs in time and labor. More recently, audio-driven models have seen success, however, these often lack expressiveness in areas not correlated to the audio signal. In this paper, we present a novel approach to facial animation by taking existing animations and allowing for the modification of style characteristics. We maintain the lip-sync of the animations with this method thanks to the use of a novel viseme-preserving loss. We perform quantitative and qualitative experiments to demonstrate the effectiveness of our work.
Description
CCS Concepts: Computing methodologies → Animation; Machine learning
@inproceedings{10.2312:egs.20241017,
booktitle = {Eurographics 2024 - Short Papers},
editor = {Hu, Ruizhen and Charalambous, Panayiotis},
title = {{FACTS: Facial Animation Creation using the Transfer of Styles}},
author = {Saunders, Jack R. and Namboodiri, Vinay P.},
year = {2024},
publisher = {The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-237-0},
DOI = {10.2312/egs.20241017}
}