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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 propose GaussianTalker, a novel framework for real-time generation of pose-controllable talking heads. It leverages the fast rendering capabilities of 3D Gaussian Splatting (3DGS) while addressing the challenges of directly controlling…

Computer Vision and Pattern Recognition · Computer Science 2024-04-26 Kyusun Cho , Joungbin Lee , Heeji Yoon , Yeobin Hong , Jaehoon Ko , Sangjun Ahn , Seungryong Kim

Talking Head Generation aims at synthesizing natural-looking talking videos from speech and a single portrait image. Previous 3D talking head generation methods have relied on domain-specific heuristics such as warping-based facial motion…

Computer Vision and Pattern Recognition · Computer Science 2026-01-27 Tong Shi , Melonie de Almeida , Daniela Ivanova , Nicolas Pugeault , Paul Henderson

Generating realistic 3D head motion for dyadic interactions is a significant challenge in virtual human synthesis. While recent methods achieve impressive results with speaking heads, they frequently suffer from the `Regression-to-the-Mean'…

Computer Vision and Pattern Recognition · Computer Science 2026-03-27 Zhangyu Jin , Maksim Siniukov , Deuksin Kwon , Ashutosh Chaubey , Mohammad Soleymani

Talking head generation is to generate video based on a given source identity and target motion. However, current methods face several challenges that limit the quality and controllability of the generated videos. First, the generated face…

Computer Vision and Pattern Recognition · Computer Science 2023-11-03 Yue Gao , Yuan Zhou , Jinglu Wang , Xiao Li , Xiang Ming , Yan Lu

Speech-driven 3D facial animation has improved a lot recently while most related works only utilize acoustic modality and neglect the influence of visual and textual cues, leading to unsatisfactory results in terms of precision and…

Computer Vision and Pattern Recognition · Computer Science 2023-12-06 Tianshun Han , Shengnan Gui , Yiqing Huang , Baihui Li , Lijian Liu , Benjia Zhou , Ning Jiang , Quan Lu , Ruicong Zhi , Yanyan Liang , Du Zhang , Jun Wan

Although automatically animating audio-driven talking heads has recently received growing interest, previous efforts have mainly concentrated on achieving lip synchronization with the audio, neglecting two crucial elements for generating…

Computer Vision and Pattern Recognition · Computer Science 2024-03-13 Shuai Tan , Bin Ji , Ye Pan

Audio-driven talking head generation is crucial for applications in virtual reality, digital avatars, and film production. While NeRF-based methods enable high-fidelity reconstruction, they suffer from low rendering efficiency and…

Sound · Computer Science 2025-09-23 Tianheng Zhu , Yinfeng Yu , Liejun Wang , Fuchun Sun , Wendong Zheng

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

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

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

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

Synthesizing high-fidelity and emotion-controllable talking video portraits, with audio-lip sync, vivid expressions, realistic head poses, and eye blinks, has been an important and challenging task in recent years. Most existing methods…

Computer Vision and Pattern Recognition · Computer Science 2025-03-28 Yibo Xia , Lizhen Wang , Xiang Deng , Xiaoyan Luo , Yunhong Wang , Yebin Liu

Speech-driven talking head generation is a critical yet challenging task with applications in augmented reality and virtual human modeling. While recent approaches using autoregressive and diffusion-based models have achieved notable…

Computer Vision and Pattern Recognition · Computer Science 2025-12-08 Yihong Lin , Zhaoxin Fan , Xianjia Wu , Lingyu Xiong , Liang Peng , Xiandong Li , Wenxiong Kang , Songju Lei , Huang Xu

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

Creating high-quality, generalizable speech-driven 3D talking heads remains a persistent challenge. Previous methods achieve satisfactory results for fixed viewpoints and small-scale audio variations, but they struggle with large head…

Computer Vision and Pattern Recognition · Computer Science 2025-07-11 Wentao Hu , Shunkai Li , Ziqiao Peng , Haoxian Zhang , Fan Shi , Xiaoqiang Liu , Pengfei Wan , Di Zhang , Hui Tian

Audio-driven emotional 3D facial animation aims to generate synchronized lip movements and vivid facial expressions. However, most existing approaches focus on static and predefined emotion labels, limiting their diversity and naturalness.…

Computer Vision and Pattern Recognition · Computer Science 2025-08-15 Chang Liu , Ye Pan , Chenyang Ding , Susanto Rahardja , Xiaokang Yang

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

In recent years, audio-driven 3D facial animation has gained significant attention, particularly in applications such as virtual reality, gaming, and video conferencing. However, accurately modeling the intricate and subtle dynamics of…

Computer Vision and Pattern Recognition · Computer Science 2023-11-14 Guinan Su , Yanwu Yang , Zhifeng Li

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