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Speech-driven 3D talking heads generation has emerged as a significant area of interest among researchers, presenting numerous challenges. Existing methods are constrained by animating faces with fixed topologies, wherein point-wise…

Computer Vision and Pattern Recognition · Computer Science 2024-09-26 Federico Nocentini , Thomas Besnier , Claudio Ferrari , Sylvain Arguillere , Stefano Berretti , Mohamed Daoudi

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

Talking face generation aims to synthesize a face video with precise lip synchronization as well as a smooth transition of facial motion over the entire video via the given speech clip and facial image. Most existing methods mainly focus on…

Computer Vision and Pattern Recognition · Computer Science 2020-05-14 Hao Zhu , Huaibo Huang , Yi Li , Aihua Zheng , Ran He

Emotional talking head generation has attracted growing attention. Previous methods, which are mainly GAN-based, still struggle to consistently produce satisfactory results across diverse emotions and cannot conveniently specify…

Computer Vision and Pattern Recognition · Computer Science 2024-08-13 Yifeng Ma , Shiwei Zhang , Jiayu Wang , Xiang Wang , Yingya Zhang , Zhidong Deng

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

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

In this work, we propose an ID-preserving talking head generation framework, which advances previous methods in two aspects. First, as opposed to interpolating from sparse flow, we claim that dense landmarks are crucial to achieving…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Bowen Zhang , Chenyang Qi , Pan Zhang , Bo Zhang , HsiangTao Wu , Dong Chen , Qifeng Chen , Yong Wang , Fang Wen

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

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

Laughter is a unique expression, essential to affirmative social interactions of humans. Although current 3D talking head generation methods produce convincing verbal articulations, they often fail to capture the vitality and subtleties of…

Computer Vision and Pattern Recognition · Computer Science 2023-11-03 Kim Sung-Bin , Lee Hyun , Da Hye Hong , Suekyeong Nam , Janghoon Ju , Tae-Hyun Oh

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

The challenge of talking face generation from speech lies in aligning two different modal information, audio and video, such that the mouth region corresponds to input audio. Previous methods either exploit audio-visual representation…

Computer Vision and Pattern Recognition · Computer Science 2022-11-04 Se Jin Park , Minsu Kim , Joanna Hong , Jeongsoo Choi , Yong Man Ro

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

The existing methods for audio-driven talking head video editing have the limitations of poor visual effects. This paper tries to tackle this problem through editing talking face images seamless with different emotions based on two modules:…

Computer Vision and Pattern Recognition · Computer Science 2024-07-09 Jiacheng Su , Kunhong Liu , Liyan Chen , Junfeng Yao , Qingsong Liu , Dongdong Lv

This paper introduces Stereo-Talker, a novel one-shot audio-driven human video synthesis system that generates 3D talking videos with precise lip synchronization, expressive body gestures, temporally consistent photo-realistic quality, and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-02 Xiang Deng , Youxin Pang , Xiaochen Zhao , Chao Xu , Lizhen Wang , Hongjiang Xiao , Shi Yan , Hongwen Zhang , Yebin Liu

Talking head synthesis, an advanced method for generating portrait videos from a still image driven by specific content, has garnered widespread attention in virtual reality, augmented reality and game production. Recently, significant…

Computer Vision and Pattern Recognition · Computer Science 2024-06-19 Ming Meng , Yufei Zhao , Bo Zhang , Yonggui Zhu , Weimin Shi , Maxwell Wen , Zhaoxin Fan

Generating talking face videos from audio attracts lots of research interest. A few person-specific methods can generate vivid videos but require the target speaker's videos for training or fine-tuning. Existing person-generic methods have…

Computer Vision and Pattern Recognition · Computer Science 2023-05-16 Weizhi Zhong , Chaowei Fang , Yinqi Cai , Pengxu Wei , Gangming Zhao , Liang Lin , Guanbin Li

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

Audio-driven 3D facial animation has several virtual humans applications for content creation and editing. While several existing methods provide solutions for speech-driven animation, precise control over content (what) and style (how) of…

Sound · Computer Science 2024-08-15 Qingju Liu , Hyeongwoo Kim , Gaurav Bharaj

One-shot talking face generation aims at synthesizing a high-quality talking face video from an arbitrary portrait image, driven by a video or an audio segment. One challenging quality factor is the resolution of the output video: higher…

Computer Vision and Pattern Recognition · Computer Science 2022-03-18 Fei Yin , Yong Zhang , Xiaodong Cun , Mingdeng Cao , Yanbo Fan , Xuan Wang , Qingyan Bai , Baoyuan Wu , Jue Wang , Yujiu Yang
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