A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild
Author:
Affiliation:
1. International Institute of Information Technology, Hyderabad, Hyderabad, India
2. University of Bath, Bath, United Kingdom
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3394171.3413532
Reference29 articles.
1. T. Afouras J. S. Chung A. Senior O. Vinyals and A. Zisserman. 2018c. Deep Audio-Visual Speech Recognition. In arXiv:1809.02108. T. Afouras J. S. Chung A. Senior O. Vinyals and A. Zisserman. 2018c. Deep Audio-Visual Speech Recognition. In arXiv:1809.02108.
2. Triantafyllos Afouras Joon Son Chung and Andrew Zisserman. 2018b. LRS3-TED: a large-scale dataset for visual speech recognition. arXiv preprint arXiv:1809.00496 (2018). Triantafyllos Afouras Joon Son Chung and Andrew Zisserman. 2018b. LRS3-TED: a large-scale dataset for visual speech recognition. arXiv preprint arXiv:1809.00496 (2018).
3. Lip Movements Generation at a Glance
4. Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss
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