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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

Audio-driven talking face generation has received growing interest, particularly for applications requiring expressive and natural human-avatar interaction. However, most existing emotion-aware methods rely on a single modality (either…

Computer Vision and Pattern Recognition · Computer Science 2025-09-25 Phyo Thet Yee , Dimitrios Kollias , Sudeepta Mishra , Abhinav Dhall

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

We present a novel approach for synthesizing 3D facial motions from audio sequences using key motion embeddings. Despite recent advancements in data-driven techniques, accurately mapping between audio signals and 3D facial meshes remains…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Zhihao Xu , Shengjie Gong , Jiapeng Tang , Lingyu Liang , Yining Huang , Haojie Li , Shuangping Huang

Audio-driven talking face generation, which aims to synthesize talking faces with realistic facial animations (including accurate lip movements, vivid facial expression details and natural head poses) corresponding to the audio, has…

Computer Vision and Pattern Recognition · Computer Science 2023-04-19 Rongliang Wu , Yingchen Yu , Fangneng Zhan , Jiahui Zhang , Xiaoqin Zhang , Shijian Lu

Creating realistic, natural, and lip-readable talking face videos remains a formidable challenge. Previous research primarily concentrated on generating and aligning single-frame images while overlooking the smoothness of frame-to-frame…

Computer Vision and Pattern Recognition · Computer Science 2024-05-29 Shuheng Ge , Haoyu Xing , Li Zhang , Xiangqian Wu

Although existing speech-driven talking face generation methods achieve significant progress, they are far from real-world application due to the avatar-specific training demand and unstable lip movements. To address the above issues, we…

Computer Vision and Pattern Recognition · Computer Science 2023-12-13 Haiming Zhang , Zhihao Yuan , Chaoda Zheng , Xu Yan , Baoyuan Wang , Guanbin Li , Song Wu , Shuguang Cui , Zhen Li

We present a method that generates expressive talking heads from a single facial image with audio as the only input. In contrast to previous approaches that attempt to learn direct mappings from audio to raw pixels or points for creating…

Computer Vision and Pattern Recognition · Computer Science 2021-02-26 Yang Zhou , Xintong Han , Eli Shechtman , Jose Echevarria , Evangelos Kalogerakis , Dingzeyu Li

Talking face generation has a wide range of potential applications in the field of virtual digital humans. However, rendering high-fidelity facial video while ensuring lip synchronization is still a challenge for existing audio-driven…

Computer Vision and Pattern Recognition · Computer Science 2023-10-17 Yaosen Chen , Yu Yao , Zhiqiang Li , Wei Wang , Yanru Zhang , Han Yang , Xuming Wen

Speech-driven 3D facial animation aims to synthesize realistic facial motion sequences from given audio, matching the speaker's speaking style. However, previous works often require priors such as class labels of a speaker or additional 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-08-26 Hyung Kyu Kim , Sangmin Lee , Hak Gu Kim

Recent advances in Talking Head Generation (THG) have achieved impressive lip synchronization and visual quality through diffusion models; yet existing methods struggle to generate emotionally expressive portraits while preserving speaker…

Computer Vision and Pattern Recognition · Computer Science 2025-08-07 Weipeng Tan , Chuming Lin , Chengming Xu , FeiFan Xu , Xiaobin Hu , Xiaozhong Ji , Junwei Zhu , Chengjie Wang , Yanwei Fu

We present VideoReTalking, a new system to edit the faces of a real-world talking head video according to input audio, producing a high-quality and lip-syncing output video even with a different emotion. Our system disentangles this…

Computer Vision and Pattern Recognition · Computer Science 2022-11-29 Kun Cheng , Xiaodong Cun , Yong Zhang , Menghan Xia , Fei Yin , Mingrui Zhu , Xuan Wang , Jue Wang , Nannan Wang

Talking head synthesis with arbitrary speech audio is a crucial challenge in the field of digital humans. Recently, methods based on radiance fields have received increasing attention due to their ability to synthesize high-fidelity and…

Sound · Computer Science 2024-12-12 Yifan Xie , Tao Feng , Xin Zhang , Xiangyang Luo , Zixuan Guo , Weijiang Yu , Heng Chang , Fei Ma , Fei Richard Yu

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

Emotional Talking Face synthesis is pivotal in multimedia and signal processing, yet existing 3D methods suffer from two critical challenges: poor audio-vision emotion alignment, manifested as difficult audio emotion extraction and…

Artificial Intelligence · Computer Science 2026-01-28 Nanhan Shen , Zhilei Liu

Combining face swapping with lip synchronization technology offers a cost-effective solution for customized talking face generation. However, directly cascading existing models together tends to introduce significant interference between…

Computer Vision and Pattern Recognition · Computer Science 2024-05-10 Zeren Zhang , Haibo Qin , Jiayu Huang , Yixin Li , Hui Lin , Yitao Duan , Jinwen Ma

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

Speech-driven 3D facial animation aims to synthesize vivid facial animations that accurately synchronize with speech and match the unique speaking style. However, existing works primarily focus on achieving precise lip synchronization while…

Computer Vision and Pattern Recognition · Computer Science 2023-12-19 Hui Fu , Zeqing Wang , Ke Gong , Keze Wang , Tianshui Chen , Haojie Li , Haifeng Zeng , Wenxiong Kang

Creating personalized 3D animations with precise control and realistic head motions remains challenging for current speech-driven 3D facial animation methods. Editing these animations is especially complex and time consuming, requires…

Graphics · Computer Science 2025-10-01 Balamurugan Thambiraja , Malte Prinzler , Sadegh Aliakbarian , Darren Cosker , Justus Thies

Most of the existing audio-driven 3D facial animation methods suffered from the lack of detailed facial expression and head pose, resulting in unsatisfactory experience of human-robot interaction. In this paper, a novel pose-controllable 3D…

Computer Vision and Pattern Recognition · Computer Science 2023-02-27 Bin Liu , Xiaolin Wei , Bo Li , Junjie Cao , Yu-Kun Lai