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Emotional talking head synthesis aims to generate talking portrait videos with vivid expressions. Existing methods still exhibit limitations in control flexibility, motion naturalness, and expression quality. Moreover, currently available…

Computer Vision and Pattern Recognition · Computer Science 2025-12-24 Yiguo Jiang , Xiaodong Cun , Yong Zhang , Yudian Zheng , Fan Tang , Chi-Man Pun

We propose a novel method for generating high-resolution videos of talking-heads from speech audio and a single 'identity' image. Our method is based on a convolutional neural network model that incorporates a pre-trained StyleGAN…

Computer Vision and Pattern Recognition · Computer Science 2022-09-12 Mohammed M. Alghamdi , He Wang , Andrew J. Bulpitt , David C. Hogg

In this paper, we abstract the process of people hearing speech, extracting meaningful cues, and creating various dynamically audio-consistent talking faces, termed Listening and Imagining, into the task of high-fidelity diverse talking…

Computer Vision and Pattern Recognition · Computer Science 2024-04-02 Chao Xu , Yang Liu , Jiazheng Xing , Weida Wang , Mingze Sun , Jun Dan , Tianxin Huang , Siyuan Li , Zhi-Qi Cheng , Ying Tai , Baigui Sun

Speech-driven 3D talking face method should offer both accurate lip synchronization and controllable expressions. Previous methods solely adopt discrete emotion labels to globally control expressions throughout sequences while limiting…

Computer Vision and Pattern Recognition · Computer Science 2025-03-20 Hejia Chen , Haoxian Zhang , Shoulong Zhang , Xiaoqiang Liu , Sisi Zhuang , Yuan Zhang , Pengfei Wan , Di Zhang , Shuai Li

Conversation is an essential component of virtual avatar activities in the metaverse. With the development of natural language processing, textual and vocal conversation generation has achieved a significant breakthrough. However,…

Computer Vision and Pattern Recognition · Computer Science 2023-08-15 Yichao Yan , Zanwei Zhou , Zi Wang , Jingnan Gao , Xiaokang Yang

Real-time interactive video-chat portraits have been increasingly recognized as the future trend, particularly due to the remarkable progress made in text and voice chat technologies. However, existing methods primarily focus on real-time…

Computer Vision and Pattern Recognition · Computer Science 2025-03-28 Jinwei Qi , Chaonan Ji , Sheng Xu , Peng Zhang , Bang Zhang , Liefeng Bo

Talking head synthesis is vital for virtual avatars and human-computer interaction. However, most existing methods are typically limited to accepting control from a single primary modality, restricting their practical utility. To this end,…

Computer Vision and Pattern Recognition · Computer Science 2025-04-08 Fa-Ting Hong , Zunnan Xu , Zixiang Zhou , Jun Zhou , Xiu Li , Qin Lin , Qinglin Lu , Dan Xu

Several works have developed end-to-end pipelines for generating lip-synced talking faces with various real-world applications, such as teaching and language translation in videos. However, these prior works fail to create realistic-looking…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Sahil Goyal , Shagun Uppal , Sarthak Bhagat , Yi Yu , Yifang Yin , Rajiv Ratn Shah

Audio-driven cospeech video generation typically involves two stages: speech-to-gesture and gesture-to-video. While significant advances have been made in speech-to-gesture generation, synthesizing natural expressions and gestures remains…

Computer Vision and Pattern Recognition · Computer Science 2025-04-14 Renda Li , Xiaohua Qi , Qiang Ling , Jun Yu , Ziyi Chen , Peng Chang , Mei HanJing Xiao

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

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

Current audio-driven 3D head generation methods mainly focus on single-speaker scenarios, lacking natural, bidirectional listen-and-speak interaction. Achieving seamless conversational behavior, where speaking and listening states…

Computer Vision and Pattern Recognition · Computer Science 2026-01-06 Lei Zhu , Lijian Lin , Ye Zhu , Jiahao Wu , Xuehan Hou , Yu Li , Yunfei Liu , Jie Chen

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

Talking head synthesis, an advanced method for generating portrait videos from a still image driven by specific content, has garnered widespread attention in virtual reality, augmented reality and game production. Recently, significant…

Computer Vision and Pattern Recognition · Computer Science 2024-06-19 Ming Meng , Yufei Zhao , Bo Zhang , Yonggui Zhu , Weimin Shi , Maxwell Wen , Zhaoxin Fan

Automatically generating videos in which synthesized speech is synchronized with lip movements in a talking head has great potential in many human-computer interaction scenarios. In this paper, we present an automatic method to generate…

Computer Vision and Pattern Recognition · Computer Science 2021-08-29 Xinsheng Wang , Qicong Xie , Jihua Zhu , Lei Xie , Scharenborg

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

The objective of this paper is to jointly synthesize interactive videos and conversational speech from text and reference images. With the ultimate goal of building human-like conversational systems, recent studies have explored talking or…

Computer Vision and Pattern Recognition · Computer Science 2025-12-24 Ji-Hoon Kim , Junseok Ahn , Doyeop Kwak , Joon Son Chung , Shinji Watanabe

Real-time speech interaction, serving as a fundamental interface for human-machine collaboration, holds immense potential. However, current open-source models face limitations such as high costs in voice data collection, weakness in dynamic…

Computation and Language · Computer Science 2025-02-19 Ailin Huang , Boyong Wu , Bruce Wang , Chao Yan , Chen Hu , Chengli Feng , Fei Tian , Feiyu Shen , Jingbei Li , Mingrui Chen , Peng Liu , Ruihang Miao , Wang You , Xi Chen , Xuerui Yang , Yechang Huang , Yuxiang Zhang , Zheng Gong , Zixin Zhang , Hongyu Zhou , Jianjian Sun , Brian Li , Chengting Feng , Changyi Wan , Hanpeng Hu , Jianchang Wu , Jiangjie Zhen , Ranchen Ming , Song Yuan , Xuelin Zhang , Yu Zhou , Bingxin Li , Buyun Ma , Hongyuan Wang , Kang An , Wei Ji , Wen Li , Xuan Wen , Xiangwen Kong , Yuankai Ma , Yuanwei Liang , Yun Mou , Bahtiyar Ahmidi , Bin Wang , Bo Li , Changxin Miao , Chen Xu , Chenrun Wang , Dapeng Shi , Deshan Sun , Dingyuan Hu , Dula Sai , Enle Liu , Guanzhe Huang , Gulin Yan , Heng Wang , Haonan Jia , Haoyang Zhang , Jiahao Gong , Junjing Guo , Jiashuai Liu , Jiahong Liu , Jie Feng , Jie Wu , Jiaoren Wu , Jie Yang , Jinguo Wang , Jingyang Zhang , Junzhe Lin , Kaixiang Li , Lei Xia , Li Zhou , Liang Zhao , Longlong Gu , Mei Chen , Menglin Wu , Ming Li , Mingxiao Li , Mingliang Li , Mingyao Liang , Na Wang , Nie Hao , Qiling Wu , Qinyuan Tan , Ran Sun , Shuai Shuai , Shaoliang Pang , Shiliang Yang , Shuli Gao , Shanshan Yuan , Siqi Liu , Shihong Deng , Shilei Jiang , Sitong Liu , Tiancheng Cao , Tianyu Wang , Wenjin Deng , Wuxun Xie , Weipeng Ming , Wenqing He , Wen Sun , Xin Han , Xin Huang , Xiaomin Deng , Xiaojia Liu , Xin Wu , Xu Zhao , Yanan Wei , Yanbo Yu , Yang Cao , Yangguang Li , Yangzhen Ma , Yanming Xu , Yaoyu Wang , Yaqiang Shi , Yilei Wang , Yizhuang Zhou , Yinmin Zhong , Yang Zhang , Yaoben Wei , Yu Luo , Yuanwei Lu , Yuhe Yin , Yuchu Luo , Yuanhao Ding , Yuting Yan , Yaqi Dai , Yuxiang Yang , Zhe Xie , Zheng Ge , Zheng Sun , Zhewei Huang , Zhichao Chang , Zhisheng Guan , Zidong Yang , Zili Zhang , Binxing Jiao , Daxin Jiang , Heung-Yeung Shum , Jiansheng Chen , Jing Li , Shuchang Zhou , Xiangyu Zhang , Xinhao Zhang , Yibo Zhu

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

Modern avatar generators allow anyone to synthesize photorealistic real-time talking avatars, ushering in a new era of avatar-based human communication, such as with immersive AR/VR interactions or videoconferencing with limited bandwidths.…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Ekta Prashnani , Koki Nagano , Shalini De Mello , David Luebke , Orazio Gallo
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