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Real-time video dubbing that preserves identity consistency while achieving accurate lip synchronization remains a critical challenge.
Auto-encoding variational bayes, 2013
Diederik P Kingma, Max Welling, et al · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
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Improved training of wasserstein gans
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron C Courville · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Fixing weight decay regularization in adam
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Least squares generative adversarial networks
Xudong Mao, Qing Li, Haoran Xie, Raymond YK Lau, Zhen Wang, and Stephen Paul Smolley · 2017
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Wasserstein generative adversarial networks
Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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Lip movements generation at a glance
Lele Chen, Zhiheng Li, Ross K Maddox, Zhiyao Duan, and Chenliang Xu · 2018
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Which training methods for gans do actually converge?
Lars Mescheder, Andreas Geiger, and Sebastian Nowozin · 2018
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Hierarchical cross-modal talking face generation with dynamic pixel-wise loss
Lele Chen, Ross K Maddox, Zhiyao Duan, and Chenliang Xu · 2019
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Arcface: Additive angular margin loss for deep face recognition
Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou · 2019
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Talking face generation by adversarially disentangled audio-visual representation
Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, and Xiaogang Wang · 2019
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wav2vec 2.0: A framework for self-supervised learning of speech representations
Alexei Baevski, Yuhao Zhou, Abdelrahman Mohamed, and Michael Auli · 2020
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Speech-driven facial animation using cascaded gans for learning of motion and texture
Dipanjan Das, Sandika Biswas, Sanjana Sinha, and Brojeshwar Bhowmick · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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A lip sync expert is all you need for speech to lip generation in the wild
KR Prajwal, Rudrabha Mukhopadhyay, Vinay P Namboodiri, and CV Jawahar · 2020
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Makelttalk: speaker-aware talking-head animation
Yang Zhou, Xintong Han, Eli Shechtman, Jose Echevarria, Evangelos Kalogerakis, and Dingzeyu Li · 2020
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A lip sync expert is all you need for speech to lip generation in the wild
KR Prajwal, Rudrabha Mukhopadhyay, Vinay P Namboodiri, and CV Jawahar · 2020
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Ad-nerf: Audio driven neural radiance fields for talking head synthesis
Yudong Guo, Keyu Chen, Sen Liang, Yong-Jin Liu, Hujun Bao, and Juyong Zhang · 2021
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Learned spatial representations for few-shot talking-head synthesis
Moustafa Meshry, Saksham Suri, Larry S Davis, and Abhinav Shrivastava · 2021
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Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2021
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Towards real-world blind face restoration with generative facial prior
Xintao Wang, Yu Li, Honglun Zhang, and Ying Shan · 2021
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Difftalk: Crafting diffusion models for generalized audio-driven portraits animation
Shuai Shen, Wenliang Zhao, Zibin Meng, Wanhua Li, Zheng Zhu, Jie Zhou, and Jiwen Lu · 2023
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Seeing what you said: Talking face generation guided by a lip reading expert
Jiadong Wang, Xinyuan Qian, Malu Zhang, Robby T Tan, and Haizhou Li · 2023
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Human-computer interaction system: A survey of talking-head generation
Rui Zhen, Wenchao Song, Qiang He, Juan Cao, Lei Shi, and Jia Luo · 2023
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Identity-preserving talking face generation with landmark and appearance priors
Weizhi Zhong, Chaowei Fang, Yinqi Cai, Pengxu Wei, Gangming Zhao, Liang Lin, and Guanbin Li · 2023
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Echomimic: Lifelike audio-driven portrait animations through editable landmark conditions
Zhiyuan Chen, Jiajiong Cao, Zhiquan Chen, Yuming Li, and Chenguang Ma · 2024
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Zhimeng Zhang, Lincheng Li, Yu Ding, and Changjie Fan · 2021
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Pose-controllable talking face generation by implicitly modularized audio-visual representation
Hang Zhou, Yasheng Sun, Wayne Wu, Chen Change Loy, Xiaogang Wang, and Ziwei Liu · 2021
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Towards real-world blind face restoration with generative facial prior
Xintao Wang, Yu Li, Honglun Zhang, and Ying Shan · 2021
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Flow-guided one-shot talking face generation with a high-resolution audio-visual dataset
Zhimeng Zhang, Lincheng Li, Yu Ding, and Changjie Fan · 2021
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Videoretalking: Audio-based lip synchronization for talking head video editing in the wild
Kun Cheng, Xiaodong Cun, Yong Zhang, Menghan Xia, Fei Yin, Mingrui Zhu, Xuan Wang, Jue Wang, and Nannan Wang · 2022
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Semantic-aware implicit neural audio-driven video portrait generation
Xian Liu, Yinghao Xu, Qianyi Wu, Hang Zhou, Wayne Wu, and Bolei Zhou · 2022
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Instant neural graphics primitives with a multiresolution hash encoding
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Latentsync: Audio conditioned latent diffusion models for lip sync
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Synctalk: The devil is in the synchronization for talking head synthesis
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Emo: Emote portrait alive generating expressive portrait videos with audio2video diffusion model under weak conditions
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Sayanything: Audio-driven lip synchronization with conditional video diffusion
Junxian Ma, Shiwen Wang, Jian Yang, Junyi Hu, Jian Liang, Guosheng Lin, Kai Li, Yu Meng, et al · 2025
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