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In face-to-face conversations, individuals need to switch between speaking and listening roles seamlessly. Existing 3D talking head generation models focus solely on speaking or listening, neglecting the natural dynamics of interactive…

Computer Vision and Pattern Recognition · Computer Science 2025-05-27 Ziqiao Peng , Yanbo Fan , Haoyu Wu , Xuan Wang , Hongyan Liu , Jun He , Zhaoxin Fan

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

In order to be widely applicable, speech-driven 3D head avatars must articulate their lips in accordance with speech, while also conveying the appropriate emotions with dynamically changing facial expressions. The key problem is that…

Graphics · Computer Science 2026-01-28 Radek Daněček , Carolin Schmitt , Senya Polikovsky , Michael J. Black

Audio-driven talking head generation holds significant potential for film production. While existing 3D methods have advanced motion modeling and content synthesis, they often produce rendering artifacts, such as motion blur, temporal…

Computer Vision and Pattern Recognition · Computer Science 2025-08-15 Kui Jiang , Shiyu Liu , Junjun Jiang , Hongxun Yao , Xiaopeng Fan

In this paper, we propose a novel audio-driven talking head method capable of simultaneously generating highly expressive facial expressions and hand gestures. Unlike existing methods that focus on generating full-body or half-body poses,…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Linrui Tian , Siqi Hu , Qi Wang , Bang Zhang , Liefeng Bo

We introduce a new conversation head generation benchmark for synthesizing behaviors of a single interlocutor in a face-to-face conversation. The capability to automatically synthesize interlocutors which can participate in long and…

Computer Vision and Pattern Recognition · Computer Science 2023-07-06 Mohan Zhou , Yalong Bai , Wei Zhang , Ting Yao , Tiejun Zhao

All previous methods for audio-driven talking head generation assume the input audio to be clean with a neutral tone. As we show empirically, one can easily break these systems by simply adding certain background noise to the utterance or…

Computer Vision and Pattern Recognition · Computer Science 2019-10-03 Gaurav Mittal , Baoyuan 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

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

Impressive progress has been made in audio-driven 3D facial animation recently, but synthesizing 3D talking-head with rich emotion is still unsolved. This is due to the lack of 3D generative models and available 3D emotional dataset with…

Computer Vision and Pattern Recognition · Computer Science 2021-04-27 Qianyun Wang , Zhenfeng Fan , Shihong Xia

In this paper, we propose a novel framework, Combo, for harmonious co-speech holistic 3D human motion generation and efficient customizable adaption. In particular, we identify that one fundamental challenge as the…

Computer Vision and Pattern Recognition · Computer Science 2025-09-22 Chao Xu , Mingze Sun , Zhi-Qi Cheng , Fei Wang , Yang Liu , Baigui Sun , Ruqi Huang , Alexander Hauptmann

In recent years, the talking head generation has become a focal point for researchers. Considerable effort is being made to refine lip-sync motion, capture expressive facial expressions, generate natural head poses, and achieve high-quality…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Farzaneh Jafari , Stefano Berretti , Anup Basu

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

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

Audio-driven talking head generation is a significant and challenging task applicable to various fields such as virtual avatars, film production, and online conferences. However, the existing GAN-based models emphasize generating…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Jintao Tan , Xize Cheng , Lingyu Xiong , Lei Zhu , Xiandong Li , Xianjia Wu , Kai Gong , Minglei Li , Yi Cai

Talking head generation is increasingly important in virtual reality (VR), especially for social scenarios involving multi-turn conversation. Existing approaches face notable limitations: mesh-based 3D methods can model dual-person dialogue…

Computer Vision and Pattern Recognition · Computer Science 2026-01-16 Peng Chen , Xiaobao Wei , Yi Yang , Naiming Yao , Hui Chen , Feng Tian

We propose a two-stage framework for audio-driven talking head generation with fine-grained expression control via facial Action Units (AUs). Unlike prior methods relying on emotion labels or implicit AU conditioning, our model explicitly…

Computer Vision and Pattern Recognition · Computer Science 2025-09-25 Shao-Yu Chang , Jingyi Xu , Hieu Le , Dimitris Samaras

Real-world talking faces often accompany with natural head movement. However, most existing talking face video generation methods only consider facial animation with fixed head pose. In this paper, we address this problem by proposing a…

Computer Vision and Pattern Recognition · Computer Science 2020-03-06 Ran Yi , Zipeng Ye , Juyong Zhang , Hujun Bao , Yong-Jin Liu

When people deliver a speech, they naturally move heads, and this rhythmic head motion conveys prosodic information. However, generating a lip-synced video while moving head naturally is challenging. While remarkably successful, existing…

Computer Vision and Pattern Recognition · Computer Science 2020-07-20 Lele Chen , Guofeng Cui , Celong Liu , Zhong Li , Ziyi Kou , Yi Xu , Chenliang Xu

Given an arbitrary audio clip, audio-driven 3D facial animation aims to generate lifelike lip motions and facial expressions for a 3D head. Existing methods typically rely on training their models using limited public 3D datasets that…

Computer Vision and Pattern Recognition · Computer Science 2023-06-21 Liying Lu , Tianke Zhang , Yunfei Liu , Xuangeng Chu , Yu Li
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