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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

The one-shot talking-head generation learns to synthesize a talking-head video with one source portrait image under the driving of same or different identity video. Usually these methods require plane-based pixel transformations via Jacobin…

Computer Vision and Pattern Recognition · Computer Science 2024-03-26 Luchuan Song , Pinxin Liu , Guojun Yin , Chenliang Xu

Talking face generation technology creates talking videos from arbitrary appearance and motion signal, with the "arbitrary" offering ease of use but also introducing challenges in practical applications. Existing methods work well with…

Computer Vision and Pattern Recognition · Computer Science 2024-03-27 Chao Liang , Jianwen Jiang , Tianyun Zhong , Gaojie Lin , Zhengkun Rong , Jiaqi Yang , Yongming Zhu

Speech-driven three-dimensional (3D) facial animation synthesis aims to build a mapping from one-dimensional (1D) speech signals to time-varying 3D facial motion signals. Current methods still face challenges in maintaining lip-sync…

Computer Vision and Pattern Recognition · Computer Science 2026-04-06 Bin Liu , Zhixiang Xiong , Zhifen He , Bo Li

The task of audio-driven portrait animation involves generating a talking head video using an identity image and an audio track of speech. While many existing approaches focus on lip synchronization and video quality, few tackle the…

Computer Vision and Pattern Recognition · Computer Science 2024-09-12 Jian Zhang , Weijian Mai , Zhijun Zhang

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

This paper presents a novel framework for speech-driven gesture production, applicable to virtual agents to enhance human-computer interaction. Specifically, we extend recent deep-learning-based, data-driven methods for speech-driven…

Computer Vision and Pattern Recognition · Computer Science 2021-04-07 Taras Kucherenko , Dai Hasegawa , Naoshi Kaneko , Gustav Eje Henter , Hedvig Kjellström

This work addresses the problem of generating 3D holistic body motions from human speech. Given a speech recording, we synthesize sequences of 3D body poses, hand gestures, and facial expressions that are realistic and diverse. To achieve…

Computer Vision and Pattern Recognition · Computer Science 2023-06-21 Hongwei Yi , Hualin Liang , Yifei Liu , Qiong Cao , Yandong Wen , Timo Bolkart , Dacheng Tao , Michael J. Black

People talk with diversified styles. For one piece of speech, different talking styles exhibit significant differences in the facial and head pose movements. For example, the "excited" style usually talks with the mouth wide open, while the…

Computer Vision and Pattern Recognition · Computer Science 2021-11-02 Haozhe Wu , Jia Jia , Haoyu Wang , Yishun Dou , Chao Duan , Qingshan Deng

The one-shot talking-head synthesis task aims to animate a source image to another pose and expression, which is dictated by a driving frame. Recent methods rely on warping the appearance feature extracted from the source, by using motion…

Computer Vision and Pattern Recognition · Computer Science 2023-05-01 Kangning Liu , Yu-Chuan Su , Wei , Hong , Ruijin Cang , Xuhui Jia

Although significant progress has been made in audio-driven talking head generation, text-driven methods remain underexplored. In this work, we present OmniTalker, a unified framework that jointly generates synchronized talking audio-video…

Computer Vision and Pattern Recognition · Computer Science 2025-06-04 Zhongjian Wang , Peng Zhang , Jinwei Qi , Guangyuan Wang , Chaonan Ji , Sheng Xu , Bang Zhang , Liefeng Bo

We present a method for generating a video of a talking face. The method takes as inputs: (i) still images of the target face, and (ii) an audio speech segment; and outputs a video of the target face lip synched with the audio. The method…

Computer Vision and Pattern Recognition · Computer Science 2017-07-19 Joon Son Chung , Amir Jamaludin , Andrew Zisserman

Realistic talking-head video generation is critical for virtual avatars, film production, and interactive systems. Current methods struggle with nuanced emotional expressions due to the lack of fine-grained emotion control. To address this…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Jiayi Lyu , Leigang Qu , Wenjing Zhang , Hanyu Jiang , Kai Liu , Zhenglin Zhou , Xiaobo Xia , Jian Xue , Tat-Seng Chua

For realistic talking head generation, creating natural head motion while maintaining accurate lip synchronization is essential. To fulfill this challenging task, we propose DisCoHead, a novel method to disentangle and control head pose and…

Computer Vision and Pattern Recognition · Computer Science 2023-03-15 Geumbyeol Hwang , Sunwon Hong , Seunghyun Lee , Sungwoo Park , Gyeongsu Chae

Speech-driven 3D facial animation aims to generate realistic lip movements and facial expressions for 3D head models from arbitrary audio clips. Although existing diffusion-based methods are capable of producing natural motions, their slow…

Computer Vision and Pattern Recognition · Computer Science 2025-09-05 Xuangeng Chu , Nabarun Goswami , Ziteng Cui , Hanqin Wang , Tatsuya Harada

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

In filmmaking, directors typically allow actors to perform freely based on the script before providing specific guidance on how to present key actions. AI-generated content faces similar requirements, where users not only need automatic…

Computer Vision and Pattern Recognition · Computer Science 2025-07-29 Zheng Qin , Ruobing Zheng , Yabing Wang , Tianqi Li , Zixin Zhu , Sanping Zhou , Ming Yang , Le Wang

This paper introduces Stereo-Talker, a novel one-shot audio-driven human video synthesis system that generates 3D talking videos with precise lip synchronization, expressive body gestures, temporally consistent photo-realistic quality, and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-02 Xiang Deng , Youxin Pang , Xiaochen Zhao , Chao Xu , Lizhen Wang , Hongjiang Xiao , Shi Yan , Hongwen Zhang , Yebin Liu

Audio-driven talking face generation has garnered significant interest within the domain of digital human research. Existing methods are encumbered by intricate model architectures that are intricately dependent on each other, complicating…

Computer Vision and Pattern Recognition · Computer Science 2024-11-08 Dong Zhao , Jiaying Shi , Wenjun Li , Shudong Wang , Shenghui Xu , Zhaoming Pan

Recent works on audio-driven talking head synthesis using Neural Radiance Fields (NeRF) have achieved impressive results. However, due to inadequate pose and expression control caused by NeRF implicit representation, these methods still…

Computer Vision and Pattern Recognition · Computer Science 2024-08-12 Hongyun Yu , Zhan Qu , Qihang Yu , Jianchuan Chen , Zhonghua Jiang , Zhiwen Chen , Shengyu Zhang , Jimin Xu , Fei Wu , Chengfei Lv , Gang Yu
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