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We present a novel one-shot talking head synthesis method that achieves disentangled and fine-grained control over lip motion, eye gaze&blink, head pose, and emotional expression. We represent different motions via disentangled latent…

Computer Vision and Pattern Recognition · Computer Science 2022-11-29 Duomin Wang , Yu Deng , Zixin Yin , Heung-Yeung Shum , Baoyuan Wang

Achieving disentangled control over multiple facial motions and accommodating diverse input modalities greatly enhances the application and entertainment of the talking head generation. This necessitates a deep exploration of the decoupling…

Computer Vision and Pattern Recognition · Computer Science 2024-04-03 Shuai Tan , Bin Ji , Mengxiao Bi , Ye Pan

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

Talking face generation is a novel and challenging generation task, aiming at synthesizing a vivid speaking-face video given a specific audio. To fulfill emotion-controllable talking face generation, current methods need to overcome two…

Computer Vision and Pattern Recognition · Computer Science 2025-08-21 Ziqi Zhang , Cheng Deng

Audio-driven 3D talking avatar generation is increasingly important in virtual communication, digital humans, and interactive media, where avatars must preserve identity, synchronize lip motion with speech, express emotion, and exhibit…

Computer Vision and Pattern Recognition · Computer Science 2026-04-06 Zhongju Wang , Zhenhong Sun , Beier Wang , Yifu Wang , Daoyi Dong , Huadong Mo , Hongdong Li

Individuals have unique facial expression and head pose styles that reflect their personalized speaking styles. Existing one-shot talking head methods cannot capture such personalized characteristics and therefore fail to produce diverse…

Computer Vision and Pattern Recognition · Computer Science 2024-09-17 Suzhen Wang , Yifeng Ma , Yu Ding , Zhipeng Hu , Changjie Fan , Tangjie Lv , Zhidong Deng , Xin Yu

Speech-driven 3D face animation technique, extending its applications to various multimedia fields. Previous research has generated promising realistic lip movements and facial expressions from audio signals. However, traditional regression…

Computer Vision and Pattern Recognition · Computer Science 2023-08-31 Ziqiao Peng , Yihao Luo , Yue Shi , Hao Xu , Xiangyu Zhu , Jun He , Hongyan Liu , Zhaoxin Fan

Recent advances in video diffusion models have unlocked new potential for realistic audio-driven talking video generation. However, achieving seamless audio-lip synchronization, maintaining long-term identity consistency, and producing…

Computer Vision and Pattern Recognition · Computer Science 2024-12-06 Longtao Zheng , Yifan Zhang , Hanzhong Guo , Jiachun Pan , Zhenxiong Tan , Jiahao Lu , Chuanxin Tang , Bo An , Shuicheng Yan

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

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

Emotional talking head generation has attracted growing attention. Previous methods, which are mainly GAN-based, still struggle to consistently produce satisfactory results across diverse emotions and cannot conveniently specify…

Computer Vision and Pattern Recognition · Computer Science 2024-08-13 Yifeng Ma , Shiwei Zhang , Jiayu Wang , Xiang Wang , Yingya Zhang , Zhidong Deng

Speech-driven 3D facial animation plays a key role in applications such as virtual avatars, gaming, and digital content creation. While existing methods have made significant progress in achieving accurate lip synchronization and generating…

Graphics · Computer Science 2025-07-16 Yifang Pan , Karan Singh , Luiz Gustavo Hafemann

Talking-head video editing aims to efficiently insert, delete, and substitute the word of a pre-recorded video through a text transcript editor. The key challenge for this task is obtaining an editing model that generates new talking-head…

Multimedia · Computer Science 2023-09-21 Songlin Yang , Wei Wang , Jun Ling , Bo Peng , Xu Tan , Jing Dong

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

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

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

We propose Expotion (Facial Expression and Motion Control for Multimodal Music Generation), a generative model leveraging multimodal visual controls - specifically, human facial expressions and upper-body motion - as well as text prompts to…

Sound · Computer Science 2025-07-08 Fathinah Izzati , Xinyue Li , Gus Xia

Audio-driven talking head generation has drawn growing attention. To produce talking head videos with desired facial expressions, previous methods rely on extra reference videos to provide expression information, which may be difficult to…

Computer Vision and Pattern Recognition · Computer Science 2024-08-13 Yifeng Ma , Suzhen Wang , Yu Ding , Bowen Ma , Tangjie Lv , Changjie Fan , Zhipeng Hu , Zhidong Deng , Xin Yu

Different people have different facial expressions while speaking emotionally. A realistic facial animation system should consider such identity-specific speaking styles and facial idiosyncrasies to achieve high-degree of naturalness and…

Artificial Intelligence · Computer Science 2023-10-27 Elif Bozkurt

Speech-driven facial animation requires accurate correspondence between acoustic signals and facial motion, especially for articulation-related mouth movements. However, directly mapping speech audio to facial coefficients often overlooks…

Computer Vision and Pattern Recognition · Computer Science 2026-05-11 Kai Zheng , Zejian Kang , Rui Mao , Hongyuan Zou , Yuanchen Fei , Xuanyang Xu , Xiangru Huang