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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

We propose a neural talking-head video synthesis model and demonstrate its application to video conferencing. Our model learns to synthesize a talking-head video using a source image containing the target person's appearance and a driving…

Computer Vision and Pattern Recognition · Computer Science 2021-04-06 Ting-Chun Wang , Arun Mallya , Ming-Yu Liu

To the best of our knowledge, we first present a live system that generates personalized photorealistic talking-head animation only driven by audio signals at over 30 fps. Our system contains three stages. The first stage is a deep neural…

Graphics · Computer Science 2021-09-27 Yuanxun Lu , Jinxiang Chai , Xun Cao

How much can we infer about a person's looks from the way they speak? In this paper, we study the task of reconstructing a facial image of a person from a short audio recording of that person speaking. We design and train a deep neural…

Computer Vision and Pattern Recognition · Computer Science 2019-05-24 Tae-Hyun Oh , Tali Dekel , Changil Kim , Inbar Mosseri , William T. Freeman , Michael Rubinstein , Wojciech Matusik

Generating semantically coherent and visually accurate talking faces requires bridging the gap between linguistic meaning and facial articulation. Although audio-driven methods remain prevalent, their reliance on high-quality paired audio…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Xu Wang , Shengeng Tang , Fei Wang , Lechao Cheng , Dan Guo , Feng Xue , Richang Hong

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

Generating realistic talking-head videos remains challenging due to persistent issues such as imperfect lip synchronization, unnatural motion, and evaluation metrics that correlate poorly with human perception. We propose FlowPortrait, a…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Weiting Tan , Andy T. Liu , Ming Tu , Xinghua Qu , Philipp Koehn , Lu Lu

Recent studies in speech-driven 3D talking head generation have achieved convincing results in verbal articulations. However, generating accurate lip-syncs degrades when applied to input speech in other languages, possibly due to the lack…

Computer Vision and Pattern Recognition · Computer Science 2024-06-21 Kim Sung-Bin , Lee Chae-Yeon , Gihun Son , Oh Hyun-Bin , Janghoon Ju , Suekyeong Nam , Tae-Hyun Oh

It is still an interesting and challenging problem to synthesize a vivid and realistic singing face driven by music signal. In this paper, we present a method for this task with natural motions of the lip, facial expression, head pose, and…

Graphics · Computer Science 2023-03-27 Pengfei Liu , Wenjin Deng , Hengda Li , Jintai Wang , Yinglin Zheng , Yiwei Ding , Xiaohu Guo , Ming Zeng

In this paper, we propose a talking face generation method that takes an audio signal as input and a short target video clip as reference, and synthesizes a photo-realistic video of the target face with natural lip motions, head poses, and…

Computer Vision and Pattern Recognition · Computer Science 2021-08-19 Chenxu Zhang , Yifan Zhao , Yifei Huang , Ming Zeng , Saifeng Ni , Madhukar Budagavi , Xiaohu Guo

Although significant progress has been made in the field of speech-driven 3D facial animation recently, the speech-driven animation of an indispensable facial component, eye gaze, has been overlooked by recent research. This is primarily…

Computer Vision and Pattern Recognition · Computer Science 2026-01-06 Yixiang Zhuang , Chunshan Ma , Yao Cheng , Xuan Cheng , Jing Liao , Juncong Lin

In this paper, we abstract the process of people hearing speech, extracting meaningful cues, and creating various dynamically audio-consistent talking faces, termed Listening and Imagining, into the task of high-fidelity diverse talking…

Computer Vision and Pattern Recognition · Computer Science 2024-04-02 Chao Xu , Yang Liu , Jiazheng Xing , Weida Wang , Mingze Sun , Jun Dan , Tianxin Huang , Siyuan Li , Zhi-Qi Cheng , Ying Tai , Baigui Sun

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

We present a novel audio-driven facial animation approach that can generate realistic lip-synchronized 3D facial animations from the input audio. Our approach learns viseme dynamics from speech videos, produces animator-friendly viseme…

Graphics · Computer Science 2023-01-18 Linchao Bao , Haoxian Zhang , Yue Qian , Tangli Xue , Changhai Chen , Xuefei Zhe , Di Kang

Speech-driven facial animation methods usually contain two main classes, 3D and 2D talking face, both of which attract considerable research attention in recent years. However, to the best of our knowledge, the research on 3D talking face…

Computer Vision and Pattern Recognition · Computer Science 2024-04-22 Yixiang Zhuang , Baoping Cheng , Yao Cheng , Yuntao Jin , Renshuai Liu , Chengyang Li , Xuan Cheng , Jing Liao , Juncong Lin

Audio-driven talking face generation has gained significant attention for applications in digital media and virtual avatars. While recent methods improve audio-lip synchronization, they often struggle with temporal consistency, identity…

Computer Vision and Pattern Recognition · Computer Science 2025-10-28 Fatemeh Nazarieh , Zhenhua Feng , Diptesh Kanojia , Muhammad Awais , Josef Kittler

Speech-driven 3D facial animation with accurate lip synchronization has been widely studied. However, synthesizing realistic motions for the entire face during speech has rarely been explored. In this work, we present a joint audio-text…

Computer Vision and Pattern Recognition · Computer Science 2021-12-08 Yingruo Fan , Zhaojiang Lin , Jun Saito , Wenping Wang , Taku Komura

Generating photo-realistic video portrait with arbitrary speech audio is a crucial problem in film-making and virtual reality. Recently, several works explore the usage of neural radiance field in this task to improve 3D realness and image…

Computer Vision and Pattern Recognition · Computer Science 2023-02-01 Zhenhui Ye , Ziyue Jiang , Yi Ren , Jinglin Liu , JinZheng He , Zhou Zhao

Co-speech gesture is crucial for human-machine interaction and digital entertainment. While previous works mostly map speech audio to human skeletons (e.g., 2D keypoints), directly generating speakers' gestures in the image domain remains…

Computer Vision and Pattern Recognition · Computer Science 2022-12-06 Xian Liu , Qianyi Wu , Hang Zhou , Yuanqi Du , Wayne Wu , Dahua Lin , Ziwei Liu

In this paper, we consider a novel and practical case for talking face video generation. Specifically, we focus on the scenarios involving multi-people interactions, where the talking context, such as audience or surroundings, is present.…

Computer Vision and Pattern Recognition · Computer Science 2024-02-29 Meidai Xuanyuan , Yuwang Wang , Honglei Guo , Qionghai Dai