LPIPS-AttnWav2Lip: Generic audio-driven lip synchronization for talking head generation in the wild
Author:
Funder
Beijing Natural Science Foundation
Publisher
Elsevier BV
Subject
Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modeling and Simulation,Software
Reference36 articles.
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4. Chen, L., Maddox, R.K., Duan, Z., Xu, C., 2019. Hierarchical cross-modal talking face generation with dynamic pixel-wise loss. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.. pp. 7832–7841. http://dx.doi.org/10.1109/CVPR.2019.00802.
5. Cheng, K., Cun, X., Zhang, Y., Xia, M., Yin, F., Zhu, M., Wang, N., 2022. VideoReTalking: Audio-based lip synchronization for Talking Head Video Editing In the Wild. In: SIGGRAPH Asia 2022 Conference Papers. pp. 1–9. http://dx.doi.org/10.1145/3550469.3555399.
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