  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/.
