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We aim to edit the lip movements in talking video according to the given speech while preserving the personal identity and visual details.
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Chung, J.S., Zisserman, A.: Out of time: automated lip sync in the wild. In: Computer Vision–ACCV 2016 Workshops: ACCV 2016 International Workshops, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part II 13. pp. 251–263. Springer (2017)
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Chen, L., Maddox, R.K., Duan, Z., Xu, C.: 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 (2019)
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Deng, J., Guo, J., Xue, N., Zafeiriou, S.: Arcface: Additive angular margin loss for deep face recognition. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 4690–4699 (2019)
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KR, P., Mukhopadhyay, R., Philip, J., Jha, A., Namboodiri, V., Jawahar, C.: Towards automatic face-to-face translation. In: Proceedings of the 27th ACM international conference on multimedia. pp. 1428–1436 (2019)
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Das, D., Biswas, S., Sinha, S., Bhowmick, B.: Speech-driven facial animation using cascaded gans for learning of motion and texture. In: Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXX 16. pp. 408–424. Springer (2020)
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Gu, K., Zhou, Y., Huang, T.: Flnet: Landmark driven fetching and learning network for faithful talking facial animation synthesis. In: Proceedings of the AAAI conference on artificial intelligence. pp. 10861–10868 (2020)
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Prajwal, K., Mukhopadhyay, R., Namboodiri, V.P., Jawahar, C.: A lip sync expert is all you need for speech to lip generation in the wild. In: Proceedings of the 28th ACM international conference on multimedia. pp. 484–492 (2020)
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Thies, J., Elgharib, M., Tewari, A., Theobalt, C., Nießner, M.: Neural voice puppetry: Audio-driven facial reenactment. In: European Conference on Computer Vision (ECCV). pp. 716–731. Springer (2020)
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Wen, X., Wang, M., Richardt, C., Chen, Z.Y., Hu, S.M.: Photorealistic audio-driven video portraits. IEEE Transactions on Visualization and Computer Graphics 26
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2022
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Zhou, Y., Han, X., Shechtman, E., Echevarria, J., Kalogerakis, E., Li, D.: Makelttalk: speaker-aware talking-head animation. ACM Transactions On Graphics (TOG) 39
2020
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Esser, P., Rombach, R., Ommer, B.: Taming transformers for high-resolution image synthesis. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 12873–12883 (2021)
2021
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Guo, Y., Chen, K., Liang, S., Liu, Y.J., Bao, H., Zhang, J.: Ad-nerf: Audio driven neural radiance fields for talking head synthesis. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV). pp. 5784–5794 (2021)
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Hazirbas, C., Bitton, J., Dolhansky, B., Pan, J., Gordo, A., Ferrer, C.C.: Towards measuring fairness in ai: the casual conversations dataset. IEEE Transactions on Biometrics, Behavior, and Identity Science 4
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Ren, Y., Li, G., Chen, Y., Li, T.H., Liu, S.: Pirenderer: Controllable portrait image generation via semantic neural rendering. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 13759–13768 (2021)
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Wang, T.C., Mallya, A., Liu, M.Y.: One-shot free-view neural talking-head synthesis for video conferencing. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 10039–10049 (2021)
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Zhang, Z., Li, L., Ding, Y., Fan, C.: Flow-guided one-shot talking face generation with a high-resolution audio-visual dataset. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 3661–3670 (2021)
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Du, C., Chen, Q., He, T., Tan, X., Chen, X., Yu, K., Zhao, S., Bian, J.: Dae-talker: High fidelity speech-driven talking face generation with diffusion autoencoder. In: Proceedings of the 31st ACM International Conference on Multimedia (2023)
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