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Generative AI Based Lip Sync Generator Using GAN for Photo-to-Talking Video Synthesis
Authors
1 2 3 4 Department of Artificial Intelligence and Machine Learning, Sasi Institute of Technology and Engineering Tadepalligudem, Andhra Pradesh, India.
Article Information
- Organised By
- Madanapalle Institute of Technology & Science (MITS)
- Conference Date
- 9 & 10 March 2026
- Pages
- 175-177
- Article Type
- Research Article
References
1. I. Goodfellow et al., “Generative Adversarial Nets,” NeurIPS, 2014.
2. S. Suwajanakorn et al., “Synthesizing Obama: Learning Lip Sync from Audio,” ACM TOG, 2017.
3. K. R.Prajwal et al., “A Lip Sync Expert Is All You Need,” ACM MM, 2020.
4. H. Vougioukas et al., “Speech-Driven Facial Animation with Temporal GANs,” BMVC, 2018.
5. E. Zakharov et al., “Neural Talking Head Models,” ICCV, 2019.
6. Y. Zhou et al., “Talking Face Generation,” AAAI, 2019.
7. J. Chung and A. Zisserman, “Lip Reading in the Wild,” CVPR, 2016.
8. T. Afouras et al., “Deep Audio-Visual Speech Recognition,” TPAMI, 2022.
9. Y. Song et al., “Conditional Recurrent GAN,” IJCAI, 2019.
10. J. Chen et al., “Lip Movements Generation,” ECCV, 2018.
11. D. P. Kingma and J. Ba, “Adam Optimization,” ICLR, 2015.
12. A. Ephrat et al., “Looking to Listen,” ACM TOG, 2018.
2. S. Suwajanakorn et al., “Synthesizing Obama: Learning Lip Sync from Audio,” ACM TOG, 2017.
3. K. R.Prajwal et al., “A Lip Sync Expert Is All You Need,” ACM MM, 2020.
4. H. Vougioukas et al., “Speech-Driven Facial Animation with Temporal GANs,” BMVC, 2018.
5. E. Zakharov et al., “Neural Talking Head Models,” ICCV, 2019.
6. Y. Zhou et al., “Talking Face Generation,” AAAI, 2019.
7. J. Chung and A. Zisserman, “Lip Reading in the Wild,” CVPR, 2016.
8. T. Afouras et al., “Deep Audio-Visual Speech Recognition,” TPAMI, 2022.
9. Y. Song et al., “Conditional Recurrent GAN,” IJCAI, 2019.
10. J. Chen et al., “Lip Movements Generation,” ECCV, 2018.
11. D. P. Kingma and J. Ba, “Adam Optimization,” ICLR, 2015.
12. A. Ephrat et al., “Looking to Listen,” ACM TOG, 2018.
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