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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

Audio-driven emotional 3D facial animation aims to generate synchronized lip movements and vivid facial expressions. However, most existing approaches focus on static and predefined emotion labels, limiting their diversity and naturalness.…

Computer Vision and Pattern Recognition · Computer Science 2025-08-15 Chang Liu , Ye Pan , Chenyang Ding , Susanto Rahardja , Xiaokang Yang

The matching of 3D shapes has been extensively studied for shapes represented as surface meshes, as well as for shapes represented as point clouds. While point clouds are a common representation of raw real-world 3D data (e.g. from laser…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Dongliang Cao , Florian Bernard

Speech-driven 3D facial animation aims at generating facial movements that are synchronized with the driving speech, which has been widely explored recently. Existing works mostly neglect the person-specific talking style in generation,…

Computer Vision and Pattern Recognition · Computer Science 2025-03-05 Liyang Chen , Weihong Bao , Shun Lei , Boshi Tang , Zhiyong Wu , Shiyin Kang , Haozhi Huang , Helen Meng

Learned 3D representations of human faces are useful for computer vision problems such as 3D face tracking and reconstruction from images, as well as graphics applications such as character generation and animation. Traditional models learn…

Computer Vision and Pattern Recognition · Computer Science 2018-08-02 Anurag Ranjan , Timo Bolkart , Soubhik Sanyal , Michael J. Black

We present a novel approach for synthesizing 3D talking heads with controllable emotion, featuring enhanced lip synchronization and rendering quality. Despite significant progress in the field, prior methods still suffer from multi-view…

Computer Vision and Pattern Recognition · Computer Science 2024-08-02 Qianyun He , Xinya Ji , Yicheng Gong , Yuanxun Lu , Zhengyu Diao , Linjia Huang , Yao Yao , Siyu Zhu , Zhan Ma , Songcen Xu , Xiaofei Wu , Zixiao Zhang , Xun Cao , Hao Zhu

Recently, talking-face video generation has received considerable attention. So far most methods generate results with neutral expressions or expressions that are implicitly determined by neural networks in an uncontrollable way. In this…

Computer Vision and Pattern Recognition · Computer Science 2022-04-14 Zipeng Ye , Zhiyao Sun , Yu-Hui Wen , Yanan Sun , Tian Lv , Ran Yi , Yong-Jin Liu

Speech-driven animation has gained significant traction in recent years, with current methods achieving near-photorealistic results. However, the field remains underexplored regarding non-verbal communication despite evidence demonstrating…

Computer Vision and Pattern Recognition · Computer Science 2023-08-31 Antoni Bigata Casademunt , Rodrigo Mira , Nikita Drobyshev , Konstantinos Vougioukas , Stavros Petridis , Maja Pantic

We tackle the challenging task of generating complete 3D facial animations for two interacting, co-located participants from a mixed audio stream. While existing methods often produce disembodied "talking heads" akin to a video conference…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Mengyi Shan , Shouchieh Chang , Ziqian Bai , Shichen Liu , Yinda Zhang , Luchuan Song , Rohit Pandey , Sean Fanello , Zeng Huang

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

Creating high-fidelity, animatable 3D talking heads is crucial for immersive applications, yet often hindered by the prevalence of low-quality image or video sources, which yield poor 3D reconstructions. In this paper, we introduce…

Computer Vision and Pattern Recognition · Computer Science 2026-02-09 Ding-Jiun Huang , Yuanhao Wang , Shao-Ji Yuan , Albert Mosella-Montoro , Francisco Vicente Carrasco , Cheng Zhang , Fernando De la Torre

Audio-driven talking head animation is a challenging research topic with many real-world applications. Recent works have focused on creating photo-realistic 2D animation, while learning different talking or singing styles remains an open…

Computer Vision and Pattern Recognition · Computer Science 2023-03-23 Trong-Thang Pham , Nhat Le , Tuong Do , Hung Nguyen , Erman Tjiputra , Quang D. Tran , Anh Nguyen

Vivid talking face generation holds immense potential applications across diverse multimedia domains, such as film and game production. While existing methods accurately synchronize lip movements with input audio, they typically ignore…

Computer Vision and Pattern Recognition · Computer Science 2024-06-13 Jiadong Liang , Feng Lu

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

Recent advancements in deep learning and computer vision have led to a surge of interest in generating realistic talking heads. This paper presents a comprehensive survey of state-of-the-art methods for talking head generation. We…

Computer Vision and Pattern Recognition · Computer Science 2023-08-31 Shreyank N Gowda , Dheeraj Pandey , Shashank Narayana Gowda

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

Lip motion reflects behavior characteristics of speakers, and thus can be used as a new kind of biometrics in speaker recognition. In the literature, lots of works used two-dimensional (2D) lip images to recognize speaker in a textdependent…

Computer Vision and Pattern Recognition · Computer Science 2020-10-14 Jianrong Wang , Tong Wu , Shanyu Wang , Mei Yu , Qiang Fang , Ju Zhang , Li Liu

Human conversation involves continuous exchanges of speech and nonverbal cues such as head nods, gaze shifts, and facial expressions that convey attention and emotion. Modeling these bidirectional dynamics in 3D is essential for building…

Computer Vision and Pattern Recognition · Computer Science 2026-02-27 Junjie Chen , Fei Wang , Zhihao Huang , Qing Zhou , Kun Li , Dan Guo , Linfeng Zhang , Xun Yang

To the best of our knowledge, we first present a live system that generates personalized photorealistic talking-head animation only driven by audio signals at over 30 fps. Our system contains three stages. The first stage is a deep neural…

Graphics · Computer Science 2021-09-27 Yuanxun Lu , Jinxiang Chai , Xun Cao

Despite exhibiting impressive performance in synthesizing lifelike personalized 3D talking heads, prevailing methods based on radiance fields suffer from high demands for training data and time for each new identity. This paper introduces…

Computer Vision and Pattern Recognition · Computer Science 2025-02-28 Jiahe Li , Jiawei Zhang , Xiao Bai , Jin Zheng , Jun Zhou , Lin Gu