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Diffusion-based audio-driven talking avatar methods have recently gained attention for their high-fidelity, vivid, and expressive results.
Auto-encoding variational bayes
Diederik P Kingma · 2013
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Fvd: A new metric for video generation
Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, and Sylvain Gelly · 2019
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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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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 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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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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One-shot free-view neural talking-head synthesis for video conferencing
Ting-Chun Wang, Arun Mallya, and Ming-Yu Liu · 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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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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Depth-aware generative adversarial network for talking head video generation
Fa-Ting Hong, Longhao Zhang, Li Shen, and Dan Xu · 2022
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Rectified flow: A marginal preserving approach to optimal transport
Qiang Liu · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Real-time neural radiance talking portrait synthesis via audio-spatial decomposition
Jiaxiang Tang, Kaisiyuan Wang, Hang Zhou, Xiaokang Chen, Dongliang He, Tianshu Hu, Jingtuo Liu, Gang Zeng, and Jingdong Wang · 2022
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Thin-plate spline motion model for image animation
Jian Zhao and Hui Zhang · 2022
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Celebv-hq: A large-scale video facial attributes dataset
Hao Zhu, Wayne Wu, Wentao Zhu, Liming Jiang, Siwei Tang, Li Zhang, Ziwei Liu, and Chen Change Loy · 2022
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Latent consistency models: Synthesizing high-resolution images with few-step inference
Simian Luo, Yiqin Tan, Longbo Huang, Jian Li, and Hang Zhao · 2023
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Styletalk: One-shot talking head generation with controllable speaking styles
Yifeng Ma, Suzhen Wang, Zhipeng Hu, Changjie Fan, Tangjie Lv, Yu Ding, Zhidong Deng, and Xin Yu · 2023
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On distillation of guided diffusion models
Chenlin Meng, Robin Rombach, Ruiqi Gao, Diederik Kingma, Stefano Ermon, Jonathan Ho, and Tim Salimans · 2023
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Animate anyone: Consistent and controllable image-to-video synthesis for character animation
Li Hu · 2024
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Loopy: Taming audio-driven portrait avatar with long-term motion dependency
Jianwen Jiang, Chao Liang, Jiaqi Yang, Gaojie Lin, Tianyun Zhong, and Yanbo Zheng · 2024
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Fastercache: Training-free video diffusion model acceleration with high quality
Zhengyao Lv, Chenyang Si, Junhao Song, Zhenyu Yang, Yu Qiao, Ziwei Liu, and Kwan-Yee K Wong · 2024
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Swiftbrush: One-step text-to-image diffusion model with variational score distillation
Thuan Hoang Nguyen and Anh Tran · 2024
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Temporal dynamic quantization for diffusion models
Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, and Eunhyeok Park · 2024
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Axel Sauer, Dominik Lorenz, Andreas Blattmann, and Robin Rombach · 2023
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Post-training quantization on diffusion models
Yuzhang Shang, Zhihang Yuan, Bin Xie, Bingzhe Wu, and Yan Yan · 2023
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Yang Song, Prafulla Dhariwal, Mark Chen, and Ilya Sutskever · 2023
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Q-align: Teaching lmms for visual scoring via discrete text-defined levels
Haoning Wu, Zicheng Zhang, Weixia Zhang, Chaofeng Chen, Liang Liao, Chunyi Li, Yixuan Gao, Annan Wang, Erli Zhang, Wenxiu Sun, et al · 2023
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Sadtalker: Learning realistic 3d motion coefficients for stylized audio-driven single image talking face animation
Wenxuan Zhang, Xiaodong Cun, Xuan Wang, Yong Zhang, Xi Shen, Yu Guo, Ying Shan, and Fei Wang · 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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Hallo2: Long-duration and high-resolution audio-driven portrait image animation
Jiahao Cui, Hui Li, Yao Yao, Hao Zhu, Hanlin Shang, Kaihui Cheng, Hang Zhou, Siyu Zhu, and Jingdong Wang · 2024
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Yang Sui, Yanyu Li, Anil Kag, Yerlan Idelbayev, Junli Cao, Ju Hu, Dhritiman Sagar, Bo Yuan, Sergey Tulyakov, and Jian Ren · 2024
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Linrui Tian, Qi Wang, Bang Zhang, and Liefeng Bo · 2024
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V-express: Conditional dropout for progressive training of portrait video generation
Cong Wang, Kuan Tian, Jun Zhang, Yonghang Guan, Feng Luo, Fei Shen, Zhiwei Jiang, Qing Gu, Xiao Han, and Wei Yang · 2024
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Hallo: Hierarchical audio-driven visual synthesis for portrait image animation
Mingwang Xu, Hui Li, Qingkun Su, Hanlin Shang, Liwei Zhang, Ce Liu, Jingdong Wang, Luc Van Gool, Yao Yao, and Siyu Zhu · 2024
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Perflow: Piecewise rectified flow as universal plug-and-play accelerator
Hanshu Yan, Xingchao Liu, Jiachun Pan, Jun Hao Liew, Qiang Liu, and Jiashi Feng · 2024
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Tianchen Zhao, Tongcheng Fang, Enshu Liu, Wan Rui, Widyadewi Soedarmadji, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, et al · 2024
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Trajectory consistency distillation
Jianbin Zheng, Minghui Hu, Zhongyi Fan, Chaoyue Wang, Changxing Ding, Dacheng Tao, and Tat-Jen Cham · 2024
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Swiftbrush v2: Make your one-step diffusion model better than its teacher
Trung Dao, Thuan Hoang Nguyen, Thanh Le, Duc Vu, Khoi Nguyen, Cuong Pham, and Anh Tran · 2025
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