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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

Animating portraits using speech has received growing attention in recent years, with various creative and practical use cases. An ideal generated video should have good lip sync with the audio, natural facial expressions and head motions,…

Computer Vision and Pattern Recognition · Computer Science 2022-12-08 Siddharth Gururani , Arun Mallya , Ting-Chun Wang , Rafael Valle , Ming-Yu Liu

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

Audio-driven talking-head generation has advanced rapidly with diffusion-based generative models, yet producing temporally coherent videos with fine-grained motion control remains challenging. We propose DEMO, a flow-matching generative…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Peiyin Chen , Zhuowei Yang , Hui Feng , Sheng Jiang , Rui Yan

Recent advancements in audio-driven talking face generation have made great progress in lip synchronization. However, current methods often lack sufficient control over facial animation such as speaking style and emotional expression,…

Computer Vision and Pattern Recognition · Computer Science 2025-03-21 Baiqin Wang , Xiangyu Zhu , Fan Shen , Hao Xu , Zhen Lei

Recently, emotional talking face generation has received considerable attention. However, existing methods only adopt one-hot coding, image, or audio as emotion conditions, thus lacking flexible control in practical applications and failing…

Computer Vision and Pattern Recognition · Computer Science 2023-06-01 Chao Xu , Junwei Zhu , Jiangning Zhang , Yue Han , Wenqing Chu , Ying Tai , Chengjie Wang , Zhifeng Xie , Yong Liu

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

Current audio-driven facial animation methods achieve impressive results for short videos but suffer from error accumulation and identity drift when extended to longer durations. Existing methods attempt to mitigate this through external…

It is in high demand to generate facial animation with high realism, but it remains a challenging task. Existing approaches of speech-driven facial animation can produce satisfactory mouth movement and lip synchronization, but show weakness…

Computer Vision and Pattern Recognition · Computer Science 2025-05-08 Yutong Chen , Junhong Zhao , Wei-Qiang Zhang

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

In this work, we tackle the challenge of enhancing the realism and expressiveness in talking head video generation by focusing on the dynamic and nuanced relationship between audio cues and facial movements. We identify the limitations of…

Computer Vision and Pattern Recognition · Computer Science 2024-08-09 Linrui Tian , Qi Wang , Bang Zhang , Liefeng Bo

Multimodal-driven talking face generation refers to animating a portrait with the given pose, expression, and gaze transferred from the driving image and video, or estimated from the text and audio. However, existing methods ignore the…

Computer Vision and Pattern Recognition · Computer Science 2023-05-10 Chao Xu , Shaoting Zhu , Junwei Zhu , Tianxin Huang , Jiangning Zhang , Ying Tai , Yong Liu

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

This paper focuses on the task of speech-driven 3D facial animation, which aims to generate realistic and synchronized facial motions driven by speech inputs. Recent methods have employed audio-conditioned diffusion models for 3D facial…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Yifan Yang , Zhi Cen , Sida Peng , Xiangwei Chen , Yifu Deng , Xinyu Zhu , Fan Jia , Xiaowei Zhou , Hujun Bao

Speech-driven 3D facial animation aims to generate realistic and expressive facial motions directly from audio. While recent methods achieve high-quality lip synchronization, they often rely on discrete emotion categories, limiting…

Multimedia · Computer Science 2026-01-16 Diqiong Jiang , Kai Zhu , Dan Song , Jian Chang , Chenglizhao Chen , Zhenyu Wu

The generation of emotional talking faces from a single portrait image remains a significant challenge. The simultaneous achievement of expressive emotional talking and accurate lip-sync is particularly difficult, as expressiveness is often…

Computer Vision and Pattern Recognition · Computer Science 2023-12-22 Chenxu Zhang , Chao Wang , Jianfeng Zhang , Hongyi Xu , Guoxian Song , You Xie , Linjie Luo , Yapeng Tian , Xiaohu Guo , Jiashi Feng

Audio-driven emotional 3D face animation aims to generate emotionally expressive talking heads with synchronized lip movements. However, previous research has often overlooked the influence of diverse emotions on facial expressions or…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Chang Liu , Qunfen Lin , Zijiao Zeng , Ye Pan

The creation of lifelike speech-driven 3D facial animation requires a natural and precise synchronization between audio input and facial expressions. However, existing works still fail to render shapes with flexible head poses and natural…

Computer Vision and Pattern Recognition · Computer Science 2023-11-01 Wei Zhao , Yijun Wang , Tianyu He , Lianying Yin , Jianxin Lin , Xin Jin

Audio-driven 3D facial animation aims to generate synchronized lip movements and vivid facial expressions from arbitrary audio clips. While existing methods can produce synchronized lip motions, they often rely on predefined identity or…

Computer Vision and Pattern Recognition · Computer Science 2026-05-29 Xuangeng Chu , Yuan Gan , Ziteng Cui , Shuhong Liu , Jian Wang , Bing Zhou , Tatsuya Harada