Audio-driven High-resolution Seamless Talking Head Video Editing via StyleGAN

• URL: http://arxiv.org/abs/2407.05577v1
• Date: Mon, 8 Jul 2024 03:17:10 GMT
• Title: Audio-driven High-resolution Seamless Talking Head Video Editing via StyleGAN
• Authors: Jiacheng Su, Kunhong Liu, Liyan Chen, Junfeng Yao, Qingsong Liu, Dongdong Lv,
• Abstract summary: This paper tries to tackle this problem through editing talking face images seamless with different emotions based on two modules. It bridges the gap between speech and facial motions by predicting corresponding emotional landmarks from speech. It aims to generate the seamless edited video consisting of the emotion and content components from the input audio.
• Score: 11.504952707087696
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The existing methods for audio-driven talking head video editing have the limitations of poor visual effects. This paper tries to tackle this problem through editing talking face images seamless with different emotions based on two modules: (1) an audio-to-landmark module, consisting of the CrossReconstructed Emotion Disentanglement and an alignment network module. It bridges the gap between speech and facial motions by predicting corresponding emotional landmarks from speech; (2) a landmark-based editing module edits face videos via StyleGAN. It aims to generate the seamless edited video consisting of the emotion and content components from the input audio. Extensive experiments confirm that compared with state-of-the-arts methods, our method provides high-resolution videos with high visual quality.

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