English
Related papers

Related papers: Cafe-Talk: Generating 3D Talking Face Animation wi…

200 papers

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

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

Portrait animation aims to synthesize talking videos from a static reference face, conditioned on audio and style frame cues (e.g., emotion and head poses), while ensuring precise lip synchronization and faithful reproduction of speaking…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 He Feng , Yongjia Ma , Donglin Di , Lei Fan , Tonghua Su , Xiangqian Wu

Audio-driven talking face generation is a challenging task in digital communication. Despite significant progress in the area, most existing methods concentrate on audio-lip synchronization, often overlooking aspects such as visual quality,…

Computer Vision and Pattern Recognition · Computer Science 2025-10-02 Fatemeh Nazarieh , Zhenhua Feng , Diptesh Kanojia , Muhammad Awais , Josef Kittler

Speech-driven 3D facial animation has advanced rapidly, yet most approaches remain tied to registered template meshes, preventing effective deployment on raw 3D scans with arbitrary topology. At the same time, modeling controllable…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Federico Nocentini , Thomas Besnier , Claudio Ferrari , Stefano Berretti , Mohamed Daoudi

Synthesizing personalized talking faces that uphold and highlight a speaker's unique style while maintaining lip-sync accuracy remains a significant challenge. A primary limitation of existing approaches is the intrinsic confounding of…

Computer Vision and Pattern Recognition · Computer Science 2026-02-02 Renjie Lu , Xulong Zhang , Xiaoyang Qu , Jianzong Wang , Shangfei Wang

Achieving disentangled control over multiple facial motions and accommodating diverse input modalities greatly enhances the application and entertainment of the talking head generation. This necessitates a deep exploration of the decoupling…

Computer Vision and Pattern Recognition · Computer Science 2025-08-20 Shuai Tan , Bin Ji

Speech-driven 3D facial animation has gained significant attention for its ability to create realistic and expressive facial animations in 3D space based on speech. Learning-based methods have shown promising progress in achieving accurate…

Computer Vision and Pattern Recognition · Computer Science 2023-10-11 Se Jin Park , Joanna Hong , Minsu Kim , Yong Man Ro

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

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

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 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

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

Audio-driven talking face video generation has attracted increasing attention due to its huge industrial potential. Some previous methods focus on learning a direct mapping from audio to visual content. Despite progress, they often struggle…

Computer Vision and Pattern Recognition · Computer Science 2024-08-13 Weizhi Zhong , Junfan Lin , Peixin Chen , Liang Lin , Guanbin Li

While recent research has made significant progress in speech-driven talking face generation, the quality of the generated video still lags behind that of real recordings. One reason for this is the use of handcrafted intermediate…

Computer Vision and Pattern Recognition · Computer Science 2025-04-08 Chenpeng Du , Qi Chen , Tianyu He , Xu Tan , Xie Chen , Kai Yu , Sheng Zhao , Jiang Bian

Speech-driven facial animation aims to synthesize lip-synchronized 3D talking faces following the given speech signal. Prior methods to this task mostly focus on pursuing realism with deterministic systems, yet characterizing the…

Computer Vision and Pattern Recognition · Computer Science 2024-10-01 Chunzhi Gu , Shigeru Kuriyama , Katsuya Hotta

Different people speak with diverse personalized speaking styles. Although existing one-shot talking head methods have made significant progress in lip sync, natural facial expressions, and stable head motions, they still cannot generate…

Computer Vision and Pattern Recognition · Computer Science 2023-06-13 Yifeng Ma , Suzhen Wang , Zhipeng Hu , Changjie Fan , Tangjie Lv , Yu Ding , Zhidong Deng , Xin Yu

Speech-driven facial animation requires accurate correspondence between acoustic signals and facial motion, especially for articulation-related mouth movements. However, directly mapping speech audio to facial coefficients often overlooks…

Computer Vision and Pattern Recognition · Computer Science 2026-05-11 Kai Zheng , Zejian Kang , Rui Mao , Hongyuan Zou , Yuanchen Fei , Xuanyang Xu , Xiangru Huang

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

While previous audio-driven talking head generation (THG) methods generate head poses from driving audio, the generated poses or lips cannot match the audio well or are not editable. In this study, we propose \textbf{PoseTalk}, a THG system…

Computer Vision and Pattern Recognition · Computer Science 2024-09-05 Jun Ling , Yiwen Wang , Han Xue , Rong Xie , Li Song