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Audio-driven facial reenactment is a crucial technique that has a range of applications in film-making, virtual avatars and video conferences. Existing works either employ explicit intermediate face representations (e.g., 2D facial…

Computer Vision and Pattern Recognition · Computer Science 2023-06-14 Ricong Huang , Peiwen Lai , Yipeng Qin , Guanbin Li

Creating personalized 3D animations with precise control and realistic head motions remains challenging for current speech-driven 3D facial animation methods. Editing these animations is especially complex and time consuming, requires…

Graphics · Computer Science 2025-10-01 Balamurugan Thambiraja , Malte Prinzler , Sadegh Aliakbarian , Darren Cosker , Justus Thies

We introduce FaceTalk, a novel generative approach designed for synthesizing high-fidelity 3D motion sequences of talking human heads from input audio signal. To capture the expressive, detailed nature of human heads, including hair, ears,…

Computer Vision and Pattern Recognition · Computer Science 2024-03-19 Shivangi Aneja , Justus Thies , Angela Dai , Matthias Nießner

It is in high demand to generate facial animation with high realism, but it remains a challenging task. Existing approaches of speech-driven facial animation can produce satisfactory mouth movement and lip synchronization, but show weakness…

Computer Vision and Pattern Recognition · Computer Science 2025-05-08 Yutong Chen , Junhong Zhao , Wei-Qiang Zhang

Generating speech-driven 3D talking heads presents numerous challenges; among those is dealing with varying mesh topologies where no point-wise correspondence exists across the meshes the model can animate. While previous literature works…

Computer Vision and Pattern Recognition · Computer Science 2026-01-09 Federico Nocentini , Thomas Besnier , Claudio Ferrari , Sylvain Arguillere , Mohamed Daoudi , Stefano Berretti

3D facial animation has attracted considerable attention due to its extensive applications in the multimedia field. Audio-driven 3D facial animation has been widely explored with promising results. However, multi-modal 3D facial animation,…

Computer Vision and Pattern Recognition · Computer Science 2024-10-11 Sijing Wu , Yunhao Li , Yichao Yan , Huiyu Duan , Ziwei Liu , Guangtao Zhai

Speech-driven 3D facial animation is challenging due to the complex geometry of human faces and the limited availability of 3D audio-visual data. Prior works typically focus on learning phoneme-level features of short audio windows with…

Computer Vision and Pattern Recognition · Computer Science 2022-03-18 Yingruo Fan , Zhaojiang Lin , Jun Saito , Wenping Wang , Taku Komura

We present Neural Voice Puppetry, a novel approach for audio-driven facial video synthesis. Given an audio sequence of a source person or digital assistant, we generate a photo-realistic output video of a target person that is in sync with…

Computer Vision and Pattern Recognition · Computer Science 2020-07-30 Justus Thies , Mohamed Elgharib , Ayush Tewari , Christian Theobalt , Matthias Nießner

While considerable progress has been made in achieving accurate lip synchronization for 3D speech-driven talking face generation, the task of incorporating expressive facial detail synthesis aligned with the speaker's speaking status…

Computer Vision and Pattern Recognition · Computer Science 2024-02-27 Yasheng Sun , Wenqing Chu , Hang Zhou , Kaisiyuan Wang , Hideki Koike

Previous studies have explored generating accurately lip-synced talking faces for arbitrary targets given audio conditions. However, most of them deform or generate the whole facial area, leading to non-realistic results. In this work, we…

Computer Vision and Pattern Recognition · Computer Science 2022-12-12 Yasheng Sun , Hang Zhou , Kaisiyuan Wang , Qianyi Wu , Zhibin Hong , Jingtuo Liu , Errui Ding , Jingdong Wang , Ziwei Liu , Hideki Koike

Creating realistic animations of human faces with computer graphic models is still a challenging task. It is often solved either with tedious manual work or motion capture based techniques that require specialised and costly hardware.…

Computer Vision and Pattern Recognition · Computer Science 2021-04-13 Wolfgang Paier , Anna Hilsmann , Peter Eisert

We introduce a novel method for joint expression and audio-guided talking face generation. Recent approaches either struggle to preserve the speaker identity or fail to produce faithful facial expressions. To address these challenges, we…

Computer Vision and Pattern Recognition · Computer Science 2024-09-19 Sai Tanmay Reddy Chakkera , Aggelina Chatziagapi , Dimitris Samaras

Multi-modal based speech separation has exhibited a specific advantage on isolating the target character in multi-talker noisy environments. Unfortunately, most of current separation strategies prefer a straightforward fusion based on…

Sound · Computer Science 2022-03-08 Junwen Xiong , Peng Zhang , Lei Xie , Wei Huang , Yufei Zha , Yanning Zhang

Audio-driven emotional 3D facial animation encounters two significant challenges: (1) reliance on single-modal control signals (videos, text, or emotion labels) without leveraging their complementary strengths for comprehensive emotion…

Multimedia · Computer Science 2025-06-13 Kangwei Liu , Junwu Liu , Xiaowei Yi , Jinlin Guo , Yun Cao

The domain of 3D talking head generation has witnessed significant progress in recent years. A notable challenge in this field consists in blending speech-related motions with expression dynamics, which is primarily caused by the lack of…

Computer Vision and Pattern Recognition · Computer Science 2025-06-10 Federico Nocentini , Claudio Ferrari , Stefano Berretti

Recently, emotional talking face generation has received considerable attention. However, existing methods only adopt one-hot coding, image, or audio as emotion conditions, thus lacking flexible control in practical applications and failing…

Computer Vision and Pattern Recognition · Computer Science 2023-06-01 Chao Xu , Junwei Zhu , Jiangning Zhang , Yue Han , Wenqing Chu , Ying Tai , Chengjie Wang , Zhifeng Xie , Yong Liu

Audio-Driven Talking Face Generation aims at generating realistic videos of talking faces, focusing on accurate audio-lip synchronization without deteriorating any identity-related visual details. Recent state-of-the-art methods are based…

Computer Vision and Pattern Recognition · Computer Science 2025-07-29 Dogucan Yaman , Fevziye Irem Eyiokur , Leonard Bärmann , Hazım Kemal Ekenel , Alexander Waibel

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

Although existing speech-driven talking face generation methods achieve significant progress, they are far from real-world application due to the avatar-specific training demand and unstable lip movements. To address the above issues, we…

Computer Vision and Pattern Recognition · Computer Science 2023-12-13 Haiming Zhang , Zhihao Yuan , Chaoda Zheng , Xu Yan , Baoyuan Wang , Guanbin Li , Song Wu , Shuguang Cui , Zhen Li

Significant progress has been made for speech-driven 3D face animation, but most works focus on learning the motion of mesh/geometry, ignoring the impact of dynamic texture. In this work, we reveal that dynamic texture plays a key role in…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Xuanchen Li , Jianyu Wang , Yuhao Cheng , Yikun Zeng , Xingyu Ren , Wenhan Zhu , Weiming Zhao , Yichao Yan
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