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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 36 / No. 3: AAAI-22 Technical Tracks 3

One-Shot Talking Face Generation from Single-Speaker Audio-Visual Correlation Learning

February 1, 2023

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Authors

Suzhen Wang

Virtual Human Group, Netease Fuxi AI Lab


Lincheng Li

Virtual Human Group, Netease Fuxi AI Lab


Yu Ding

Virtual Human Group, Netease Fuxi AI Lab


Xin Yu

University of Technology Sydney


DOI:

10.1609/aaai.v36i3.20154


Abstract:

Audio-driven one-shot talking face generation methods are usually trained on video resources of various persons. However, their created videos often suffer unnatural mouth shapes and asynchronous lips because those methods struggle to learn a consistent speech style from different speakers. We observe that it would be much easier to learn a consistent speech style from a specific speaker, which leads to authentic mouth movements. Hence, we propose a novel one-shot talking face generation framework by exploring consistent correlations between audio and visual motions from a specific speaker and then transferring audio-driven motion fields to a reference image. Specifically, we develop an Audio-Visual Correlation Transformer (AVCT) that aims to infer talking motions represented by keypoint based dense motion fields from an input audio. In particular, considering audio may come from different identities in deployment, we incorporate phonemes to represent audio signals. In this manner, our AVCT can inherently generalize to audio spoken by other identities. Moreover, as face keypoints are used to represent speakers, AVCT is agnostic against appearances of the training speaker, and thus allows us to manipulate face images of different identities readily. Considering different face shapes lead to different motions, a motion field transfer module is exploited to reduce the audio-driven dense motion field gap between the training identity and the one-shot reference. Once we obtained the dense motion field of the reference image, we employ an image renderer to generate its talking face videos from an audio clip. Thanks to our learned consistent speaking style, our method generates authentic mouth shapes and vivid movements. Extensive experiments demonstrate that our synthesized videos outperform the state-of-the-art in terms of visual quality and lip-sync.

Topics: AAAI

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HOW TO CITE:

Suzhen Wang||Lincheng Li||Yu Ding||Xin Yu One-Shot Talking Face Generation from Single-Speaker Audio-Visual Correlation Learning Proceedings of the AAAI Conference on Artificial Intelligence (2022) 2531-2539.

Suzhen Wang||Lincheng Li||Yu Ding||Xin Yu One-Shot Talking Face Generation from Single-Speaker Audio-Visual Correlation Learning AAAI 2022, 2531-2539.

Suzhen Wang||Lincheng Li||Yu Ding||Xin Yu (2022). One-Shot Talking Face Generation from Single-Speaker Audio-Visual Correlation Learning. Proceedings of the AAAI Conference on Artificial Intelligence, 2531-2539.

Suzhen Wang||Lincheng Li||Yu Ding||Xin Yu. One-Shot Talking Face Generation from Single-Speaker Audio-Visual Correlation Learning. Proceedings of the AAAI Conference on Artificial Intelligence 2022 p.2531-2539.

Suzhen Wang||Lincheng Li||Yu Ding||Xin Yu. 2022. One-Shot Talking Face Generation from Single-Speaker Audio-Visual Correlation Learning. "Proceedings of the AAAI Conference on Artificial Intelligence". 2531-2539.

Suzhen Wang||Lincheng Li||Yu Ding||Xin Yu. (2022) "One-Shot Talking Face Generation from Single-Speaker Audio-Visual Correlation Learning", Proceedings of the AAAI Conference on Artificial Intelligence, p.2531-2539

Suzhen Wang||Lincheng Li||Yu Ding||Xin Yu, "One-Shot Talking Face Generation from Single-Speaker Audio-Visual Correlation Learning", AAAI, p.2531-2539, 2022.

Suzhen Wang||Lincheng Li||Yu Ding||Xin Yu. "One-Shot Talking Face Generation from Single-Speaker Audio-Visual Correlation Learning". Proceedings of the AAAI Conference on Artificial Intelligence, 2022, p.2531-2539.

Suzhen Wang||Lincheng Li||Yu Ding||Xin Yu. "One-Shot Talking Face Generation from Single-Speaker Audio-Visual Correlation Learning". Proceedings of the AAAI Conference on Artificial Intelligence, (2022): 2531-2539.

Suzhen Wang||Lincheng Li||Yu Ding||Xin Yu. One-Shot Talking Face Generation from Single-Speaker Audio-Visual Correlation Learning. AAAI[Internet]. 2022[cited 2023]; 2531-2539.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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