Audio-Driven Emotional 3D Talking-Head Generation

• URL: http://arxiv.org/abs/2410.17262v1
• Date: Mon, 07 Oct 2024 08:23:05 GMT
• Title: Audio-Driven Emotional 3D Talking-Head Generation
• Authors: Wenqing Wang, Yun Fu,
• Abstract summary: We present a novel system for synthesizing high-fidelity, audio-driven video portraits with accurate emotional expressions. We propose a pose sampling method that generates natural idle-state (non-speaking) videos in response to silent audio inputs.
• Score: 47.6666060652434
• License:
• Abstract: Audio-driven video portrait synthesis is a crucial and useful technology in virtual human interaction and film-making applications. Recent advancements have focused on improving the image fidelity and lip-synchronization. However, generating accurate emotional expressions is an important aspect of realistic talking-head generation, which has remained underexplored in previous works. We present a novel system in this paper for synthesizing high-fidelity, audio-driven video portraits with accurate emotional expressions. Specifically, we utilize a variational autoencoder (VAE)-based audio-to-motion module to generate facial landmarks. These landmarks are concatenated with emotional embeddings to produce emotional landmarks through our motion-to-emotion module. These emotional landmarks are then used to render realistic emotional talking-head video using a Neural Radiance Fields (NeRF)-based emotion-to-video module. Additionally, we propose a pose sampling method that generates natural idle-state (non-speaking) videos in response to silent audio inputs. Extensive experiments demonstrate that our method obtains more accurate emotion generation with higher fidelity.

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