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Related papers: Identity-Preserving Video Dubbing Using Motion War…

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Talking face generation aims to synthesize realistic speaking portraits from a single image, yet existing methods often rely on explicit optical flow and local warping, which fail to model complex global motions and cause identity drift. We…

Computer Vision and Pattern Recognition · Computer Science 2025-12-01 Bo Chen , Tao Liu , Qi Chen , Xie Chen , Zilong Zheng

Dubbing is a technique for translating video content from one language to another. However, state-of-the-art visual dubbing techniques directly copy facial expressions from source to target actors without considering identity-specific…

Computer Vision and Pattern Recognition · Computer Science 2019-09-09 Hyeongwoo Kim , Mohamed Elgharib , Michael Zollhöfer , Hans-Peter Seidel , Thabo Beeler , Christian Richardt , Christian Theobalt

Recent breakthroughs in video AIGC have ushered in a transformative era for audio-driven human animation. However, conventional video dubbing techniques remain constrained to mouth region editing, resulting in discordant facial expressions…

Computer Vision and Pattern Recognition · Computer Science 2025-08-20 Shaoshu Yang , Zhe Kong , Feng Gao , Meng Cheng , Xiangyu Liu , Yong Zhang , Zhuoliang Kang , Wenhan Luo , Xunliang Cai , Ran He , Xiaoming Wei

Movie dubbing seeks to synthesize speech from a given script using a specific voice, while ensuring accurate lip synchronization and emotion-prosody alignment with the character's visual performance. However, existing alignment approaches…

Sound · Computer Science 2025-12-22 Zhedong Zhang , Liang Li , Gaoxiang Cong , Chunshan Liu , Yuhan Gao , Xiaowan Wang , Tao Gu , Yuankai Qi

Real-time video dubbing that preserves identity consistency while achieving accurate lip synchronization remains a critical challenge. Existing approaches face a trilemma: diffusion-based methods achieve high visual fidelity but suffer from…

Computer Vision and Pattern Recognition · Computer Science 2025-03-27 Yue Zhang , Zhizhou Zhong , Minhao Liu , Zhaokang Chen , Bin Wu , Yubin Zeng , Chao Zhan , Yingjie He , Junxin Huang , Wenjiang Zhou

Creating realistic, natural, and lip-readable talking face videos remains a formidable challenge. Previous research primarily concentrated on generating and aligning single-frame images while overlooking the smoothness of frame-to-frame…

Computer Vision and Pattern Recognition · Computer Science 2024-05-29 Shuheng Ge , Haoyu Xing , Li Zhang , Xiangqian Wu

For audio-driven visual dubbing, it remains a considerable challenge to uphold and highlight speaker's persona while synthesizing accurate lip synchronization. Existing methods fall short of capturing speaker's unique speaking style or…

Computer Vision and Pattern Recognition · Computer Science 2024-09-10 Longhao Zhang , Shuang Liang , Zhipeng Ge , Tianshu Hu

Speech-driven 3D talking head generation aims to produce lifelike facial animations precisely synchronized with speech. While considerable progress has been made in achieving high lip-synchronization accuracy, existing methods largely…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 Bin Wang , Yang Xu , Huan Zhao , Hao Zhang , Zixing Zhang

Vision-guided speech generation aims to produce authentic speech from facial appearance or lip motions without relying on auditory signals, offering significant potential for applications such as dubbing in filmmaking and assisting…

Computer Vision and Pattern Recognition · Computer Science 2025-03-20 Jiaxin Ye , Hongming Shan

Portrait animation aims to synthesize talking videos from a static reference face, conditioned on audio and style frame cues (e.g., emotion and head poses), while ensuring precise lip synchronization and faithful reproduction of speaking…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 He Feng , Yongjia Ma , Donglin Di , Lei Fan , Tonghua Su , Xiangqian Wu

We propose StyleTalker, a novel audio-driven talking head generation model that can synthesize a video of a talking person from a single reference image with accurately audio-synced lip shapes, realistic head poses, and eye blinks.…

Computer Vision and Pattern Recognition · Computer Science 2024-03-18 Dongchan Min , Minyoung Song , Eunji Ko , Sung Ju Hwang

Audio-driven visual dubbing aims to synchronize a video's lip movements with new speech but is fundamentally challenged by the lack of ideal training data: paired videos differing only in lip motion. Existing methods circumvent this via…

Computer Vision and Pattern Recognition · Computer Science 2026-03-25 Xu He , Haoxian Zhang , Hejia Chen , Changyuan Zheng , Liyang Chen , Songlin Tang , Jiehui Huang , Xiaoqiang Liu , Pengfei Wan , Zhiyong Wu

With the rapid advancement of diffusion models, talking face generation has made remarkable progress. However, existing diffusion-based methods still require task-specific fine-tuning and large-scale audiovisual datasets, resulting in high…

Computer Vision and Pattern Recognition · Computer Science 2026-05-29 Hao Wu , Xiangyang Luo , Hao Wang , Jiawei Zhang , Yi Zhang , Jinwei Wang

Movie Dubbing aims to convert scripts into speeches that align with the given movie clip in both temporal and emotional aspects while preserving the vocal timbre of a given brief reference audio. Existing methods focus primarily on reducing…

Audio-driven talking face generation aims to synthesize video with lip movements synchronized to input audio. However, current generative techniques face challenges in preserving intricate regional textures (skin, teeth). To address the…

Computer Vision and Pattern Recognition · Computer Science 2024-09-06 Lingyu Xiong , Xize Cheng , Jintao Tan , Xianjia Wu , Xiandong Li , Lei Zhu , Fei Ma , Minglei Li , Huang Xu , Zhihu Hu

Video dubbing requires content accuracy, expressive prosody, high-quality acoustics, and precise lip synchronization, yet existing approaches struggle on all four fronts. To address these issues, we propose DiFlowDubber, the first video…

Computer Vision and Pattern Recognition · Computer Science 2026-04-06 Ngoc-Son Nguyen , Thanh V. T. Tran , Jeongsoo Choi , Hieu-Nghia Huynh-Nguyen , Truong-Son Hy , Van Nguyen

The task of few-shot visual dubbing focuses on synchronizing the lip movements with arbitrary speech input for any talking head video. Albeit moderate improvements in current approaches, they commonly require high-quality homologous data…

Computer Vision and Pattern Recognition · Computer Science 2022-01-19 Tianyi Xie , Liucheng Liao , Cheng Bi , Benlai Tang , Xiang Yin , Jianfei Yang , Mingjie Wang , Jiali Yao , Yang Zhang , Zejun Ma

Creating a realistic animatable avatar from a single static portrait remains challenging. Existing approaches often struggle to capture subtle facial expressions, the associated global body movements, and the dynamic background. To address…

Computer Vision and Pattern Recognition · Computer Science 2025-04-08 Mengchao Wang , Qiang Wang , Fan Jiang , Yaqi Fan , Yunpeng Zhang , Yonggang Qi , Kun Zhao , Mu Xu

Speech-driven 3D facial animation has been widely explored, with applications in gaming, character animation, virtual reality, and telepresence systems. State-of-the-art methods deform the face topology of the target actor to sync the input…

Computer Vision and Pattern Recognition · Computer Science 2023-01-03 Balamurugan Thambiraja , Ikhsanul Habibie , Sadegh Aliakbarian , Darren Cosker , Christian Theobalt , Justus Thies

We aim to edit the lip movements in talking video according to the given speech while preserving the personal identity and visual details. The task can be decomposed into two sub-problems: (1) speech-driven lip motion generation and (2)…

Computer Vision and Pattern Recognition · Computer Science 2024-06-18 Runyi Yu , Tianyu He , Ailing Zhang , Yuchi Wang , Junliang Guo , Xu Tan , Chang Liu , Jie Chen , Jiang Bian
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