Enhancing Speech-Driven 3D Facial Animation with Audio-Visual Guidance from Lip Reading Expert

Fuente: arXiv
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Main Authors: EunGi, Han, Hyun-Bin, Oh, Sung-Bin, Kim, Etcheberry, Corentin Nivelet, Nam, Suekyeong, Joo, Janghoon, Oh, Tae-Hyun
Format: Preprint
Published: 2024
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_version_ 1866916307868319744
author EunGi, Han
Hyun-Bin, Oh
Sung-Bin, Kim
Etcheberry, Corentin Nivelet
Nam, Suekyeong
Joo, Janghoon
Oh, Tae-Hyun
author_facet EunGi, Han
Hyun-Bin, Oh
Sung-Bin, Kim
Etcheberry, Corentin Nivelet
Nam, Suekyeong
Joo, Janghoon
Oh, Tae-Hyun
contents Speech-driven 3D facial animation has recently garnered attention due to its cost-effective usability in multimedia production. However, most current advances overlook the intelligibility of lip movements, limiting the realism of facial expressions. In this paper, we introduce a method for speech-driven 3D facial animation to generate accurate lip movements, proposing an audio-visual multimodal perceptual loss. This loss provides guidance to train the speech-driven 3D facial animators to generate plausible lip motions aligned with the spoken transcripts. Furthermore, to incorporate the proposed audio-visual perceptual loss, we devise an audio-visual lip reading expert leveraging its prior knowledge about correlations between speech and lip motions. We validate the effectiveness of our approach through broad experiments, showing noticeable improvements in lip synchronization and lip readability performance. Codes are available at https://3d-talking-head-avguide.github.io/.
format Preprint
id arxiv_https___arxiv_org_abs_2407_01034
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Enhancing Speech-Driven 3D Facial Animation with Audio-Visual Guidance from Lip Reading Expert
EunGi, Han
Hyun-Bin, Oh
Sung-Bin, Kim
Etcheberry, Corentin Nivelet
Nam, Suekyeong
Joo, Janghoon
Oh, Tae-Hyun
Computer Vision and Pattern Recognition
Graphics
Speech-driven 3D facial animation has recently garnered attention due to its cost-effective usability in multimedia production. However, most current advances overlook the intelligibility of lip movements, limiting the realism of facial expressions. In this paper, we introduce a method for speech-driven 3D facial animation to generate accurate lip movements, proposing an audio-visual multimodal perceptual loss. This loss provides guidance to train the speech-driven 3D facial animators to generate plausible lip motions aligned with the spoken transcripts. Furthermore, to incorporate the proposed audio-visual perceptual loss, we devise an audio-visual lip reading expert leveraging its prior knowledge about correlations between speech and lip motions. We validate the effectiveness of our approach through broad experiments, showing noticeable improvements in lip synchronization and lip readability performance. Codes are available at https://3d-talking-head-avguide.github.io/.
title Enhancing Speech-Driven 3D Facial Animation with Audio-Visual Guidance from Lip Reading Expert
topic Computer Vision and Pattern Recognition
Graphics
url https://arxiv.org/abs/2407.01034