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Related papers: CSTalk: Correlation Supervised Speech-driven 3D Em…

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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

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

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

Emotional talking-head generation has emerged as a pivotal research area at the intersection of computer vision and multimodal artificial intelligence, with its core value lying in enhancing human-computer interaction through immersive and…

Computer Vision and Pattern Recognition · Computer Science 2025-07-18 Hanlei Shi , Leyuan Qu , Yu Liu , Di Gao , Yuhua Zheng , Taihao Li

In this paper, we propose a novel text-based talking-head video generation framework that synthesizes high-fidelity facial expressions and head motions in accordance with contextual sentiments as well as speech rhythm and pauses. To be…

Computer Vision and Pattern Recognition · Computer Science 2021-05-10 Lincheng Li , Suzhen Wang , Zhimeng Zhang , Yu Ding , Yixing Zheng , Xin Yu , Changjie Fan

The generation of stylistic 3D facial animations driven by speech presents a significant challenge as it requires learning a many-to-many mapping between speech, style, and the corresponding natural facial motion. However, existing methods…

Computer Vision and Pattern Recognition · Computer Science 2024-05-15 Zhiyao Sun , Tian Lv , Sheng Ye , Matthieu Lin , Jenny Sheng , Yu-Hui Wen , Minjing Yu , Yong-Jin Liu

Implementing fine-grained emotion control is crucial for emotion generation tasks because it enhances the expressive capability of the generative model, allowing it to accurately and comprehensively capture and express various nuanced…

Computer Vision and Pattern Recognition · Computer Science 2024-02-05 Guanwen Feng , Haoran Cheng , Yunan Li , Zhiyuan Ma , Chaoneng Li , Zhihao Qian , Qiguang Miao , Chi-Man Pun

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

Speech-driven 3D talking heads generation has emerged as a significant area of interest among researchers, presenting numerous challenges. Existing methods are constrained by animating faces with fixed topologies, wherein point-wise…

Computer Vision and Pattern Recognition · Computer Science 2024-09-26 Federico Nocentini , Thomas Besnier , Claudio Ferrari , Sylvain Arguillere , Stefano Berretti , Mohamed Daoudi

The goal of this paper is to synthesise talking faces with controllable facial motions. To achieve this goal, we propose two key ideas. The first is to establish a canonical space where every face has the same motion patterns but different…

Computer Vision and Pattern Recognition · Computer Science 2023-09-19 Youngjoon Jang , Kyeongha Rho , Jong-Bin Woo , Hyeongkeun Lee , Jihwan Park , Youshin Lim , Byeong-Yeol Kim , Joon Son Chung

Recent advances in audio-driven talking head generation have achieved impressive results in lip synchronization and emotional expression. However, they largely overlook the crucial task of facial attribute editing. This capability is…

Computer Vision and Pattern Recognition · Computer Science 2025-08-28 Guanwen Feng , Zhiyuan Ma , Yunan Li , Jiahao Yang , Junwei Jing , Qiguang Miao

Most current audio-driven facial animation research primarily focuses on generating videos with neutral emotions. While some studies have addressed the generation of facial videos driven by emotional audio, efficiently generating…

Computer Vision and Pattern Recognition · Computer Science 2026-01-22 Chuhang Ma , Shuai Tan , Ye Pan , Jiaolong Yang , Xin Tong

While accurate lip synchronization has been achieved for arbitrary-subject audio-driven talking face generation, the problem of how to efficiently drive the head pose remains. Previous methods rely on pre-estimated structural information…

Computer Vision and Pattern Recognition · Computer Science 2021-04-23 Hang Zhou , Yasheng Sun , Wayne Wu , Chen Change Loy , Xiaogang Wang , Ziwei Liu

Audio-driven talking face generation, which aims to synthesize talking faces with realistic facial animations (including accurate lip movements, vivid facial expression details and natural head poses) corresponding to the audio, has…

Computer Vision and Pattern Recognition · Computer Science 2023-04-19 Rongliang Wu , Yingchen Yu , Fangneng Zhan , Jiahui Zhang , Xiaoqin Zhang , Shijian Lu

Speech-driven 3D facial animation has recently garnered attention due to its cost-effective usability in multimedia production. However, most current advances overlook the intelligibility of lip movements, limiting the realism of facial…

Computer Vision and Pattern Recognition · Computer Science 2024-07-02 Han EunGi , Oh Hyun-Bin , Kim Sung-Bin , Corentin Nivelet Etcheberry , Suekyeong Nam , Janghoon Joo , Tae-Hyun Oh

We present a method that generates expressive talking heads from a single facial image with audio as the only input. In contrast to previous approaches that attempt to learn direct mappings from audio to raw pixels or points for creating…

Computer Vision and Pattern Recognition · Computer Science 2021-02-26 Yang Zhou , Xintong Han , Eli Shechtman , Jose Echevarria , Evangelos Kalogerakis , Dingzeyu Li

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

Audio-driven talking head generation has drawn much attention in recent years, and many efforts have been made in lip-sync, expressive facial expressions, natural head pose generation, and high video quality. However, no model has yet led…

Computer Vision and Pattern Recognition · Computer Science 2023-12-08 Xusen Sun , Longhao Zhang , Hao Zhu , Peng Zhang , Bang Zhang , Xinya Ji , Kangneng Zhou , Daiheng Gao , Liefeng Bo , Xun Cao

Speech-driven facial animation is useful for a variety of applications such as telepresence, chatbots, etc. The necessary attributes of having a realistic face animation are 1) audio-visual synchronization (2) identity preservation of the…

Computer Vision and Pattern Recognition · Computer Science 2020-05-27 Sanjana Sinha , Sandika Biswas , Brojeshwar Bhowmick

Speech-driven 3D facial animation seeks to produce lifelike facial expressions that are synchronized with the speech content and its emotional nuances, finding applications in various multimedia fields. However, previous methods often…

Computer Vision and Pattern Recognition · Computer Science 2025-03-17 Yixuan Zhang , Qing Chang , Yuxi Wang , Guang Chen , Zhaoxiang Zhang , Junran Peng