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We propose a novel method for generating high-resolution videos of talking-heads from speech audio and a single 'identity' image. Our method is based on a convolutional neural network model that incorporates a pre-trained StyleGAN…

Computer Vision and Pattern Recognition · Computer Science 2022-09-12 Mohammed M. Alghamdi , He Wang , Andrew J. Bulpitt , David C. Hogg

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

While considerable progress has been made in achieving accurate lip synchronization for 3D speech-driven talking face generation, the task of incorporating expressive facial detail synthesis aligned with the speaker's speaking status…

Computer Vision and Pattern Recognition · Computer Science 2024-02-27 Yasheng Sun , Wenqing Chu , Hang Zhou , Kaisiyuan Wang , Hideki Koike

The task of audio-driven portrait animation involves generating a talking head video using an identity image and an audio track of speech. While many existing approaches focus on lip synchronization and video quality, few tackle the…

Computer Vision and Pattern Recognition · Computer Science 2024-09-12 Jian Zhang , Weijian Mai , Zhijun Zhang

Speech-driven 3D facial animation plays a key role in applications such as virtual avatars, gaming, and digital content creation. While existing methods have made significant progress in achieving accurate lip synchronization and generating…

Graphics · Computer Science 2025-07-16 Yifang Pan , Karan Singh , Luiz Gustavo Hafemann

Audio-driven talking head generation is a core component of digital avatars, and 3D Gaussian Splatting has shown strong performance in real-time rendering of high-fidelity talking heads. However, achieving precise control over fine-grained…

Computer Vision and Pattern Recognition · Computer Science 2026-02-11 Shaoyang Xie , Xiaofeng Cong , Baosheng Yu , Zhipeng Gui , Jie Gui , Yuan Yan Tang , James Tin-Yau Kwok

Different people have different facial expressions while speaking emotionally. A realistic facial animation system should consider such identity-specific speaking styles and facial idiosyncrasies to achieve high-degree of naturalness and…

Artificial Intelligence · Computer Science 2023-10-27 Elif Bozkurt

Despite numerous completed studies, achieving high fidelity talking face generation with highly synchronized lip movements corresponding to arbitrary audio remains a significant challenge in the field. The shortcomings of published studies…

Computer Vision and Pattern Recognition · Computer Science 2024-03-05 Juan Zhang , Jiahao Chen , Cheng Wang , Zhiwang Yu , Tangquan Qi , Di Wu

This work addresses the problem of generating 3D holistic body motions from human speech. Given a speech recording, we synthesize sequences of 3D body poses, hand gestures, and facial expressions that are realistic and diverse. To achieve…

Computer Vision and Pattern Recognition · Computer Science 2023-06-21 Hongwei Yi , Hualin Liang , Yifei Liu , Qiong Cao , Yandong Wen , Timo Bolkart , Dacheng Tao , Michael J. Black

One-shot 3D talking portrait generation aims to reconstruct a 3D avatar from an unseen image, and then animate it with a reference video or audio to generate a talking portrait video. The existing methods fail to simultaneously achieve the…

Computer Vision and Pattern Recognition · Computer Science 2024-03-26 Zhenhui Ye , Tianyun Zhong , Yi Ren , Jiaqi Yang , Weichuang Li , Jiawei Huang , Ziyue Jiang , Jinzheng He , Rongjie Huang , Jinglin Liu , Chen Zhang , Xiang Yin , Zejun Ma , Zhou Zhao

This work proposes a novel method to generate realistic talking head videos using audio and visual streams. We animate a source image by transferring head motion from a driving video using a dense motion field generated using learnable…

Computer Vision and Pattern Recognition · Computer Science 2022-10-07 Madhav Agarwal , Rudrabha Mukhopadhyay , Vinay Namboodiri , C V Jawahar

We introduce VASA, a framework for generating lifelike talking faces with appealing visual affective skills (VAS) given a single static image and a speech audio clip. Our premiere model, VASA-1, is capable of not only generating lip…

Computer Vision and Pattern Recognition · Computer Science 2024-11-01 Sicheng Xu , Guojun Chen , Yu-Xiao Guo , Jiaolong Yang , Chong Li , Zhenyu Zang , Yizhong Zhang , Xin Tong , Baining Guo

Recent neural talking radiance field methods have shown great success in photorealistic audio-driven talking face synthesis. In this paper, we propose a novel interactive framework that utilizes human instructions to edit such implicit…

Computer Vision and Pattern Recognition · Computer Science 2023-08-17 Yuqi Sun , Ruian He , Weimin Tan , Bo Yan

Lip synchronization is the task of aligning a speaker's lip movements in video with corresponding speech audio, and it is essential for creating realistic, expressive video content. However, existing methods often rely on reference frames…

Computer Vision and Pattern Recognition · Computer Science 2025-09-19 Ziqiao Peng , Jiwen Liu , Haoxian Zhang , Xiaoqiang Liu , Songlin Tang , Pengfei Wan , Di Zhang , Hongyan Liu , Jun He

As a key component of talking face generation, lip movements generation determines the naturalness and coherence of the generated talking face video. Prior literature mainly focuses on speech-to-lip generation while there is a paucity in…

Multimedia · Computer Science 2021-12-21 Jinglin Liu , Zhiying Zhu , Yi Ren , Wencan Huang , Baoxing Huai , Nicholas Yuan , Zhou Zhao

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

Given an arbitrary audio clip, audio-driven 3D facial animation aims to generate lifelike lip motions and facial expressions for a 3D head. Existing methods typically rely on training their models using limited public 3D datasets that…

Computer Vision and Pattern Recognition · Computer Science 2023-06-21 Liying Lu , Tianke Zhang , Yunfei Liu , Xuangeng Chu , Yu Li

Talking head synthesis is vital for virtual avatars and human-computer interaction. However, most existing methods are typically limited to accepting control from a single primary modality, restricting their practical utility. To this end,…

Computer Vision and Pattern Recognition · Computer Science 2025-04-08 Fa-Ting Hong , Zunnan Xu , Zixiang Zhou , Jun Zhou , Xiu Li , Qin Lin , Qinglin Lu , Dan Xu

Audio-driven talking head generation necessitates seamless integration of audio and visual data amidst the challenges posed by diverse input portraits and intricate correlations between audio and facial motions. In response, we propose a…

Computer Vision and Pattern Recognition · Computer Science 2024-12-16 Ziqi Zhou , Weize Quan , Hailin Shi , Wei Li , Lili Wang , Dong-Ming Yan

Synthesizing realistic videos according to a given speech is still an open challenge. Previous works have been plagued by issues such as inaccurate lip shape generation and poor image quality. The key reason is that only motions and…

Computer Vision and Pattern Recognition · Computer Science 2023-09-12 Xiuzhe Wu , Pengfei Hu , Yang Wu , Xiaoyang Lyu , Yan-Pei Cao , Ying Shan , Wenming Yang , Zhongqian Sun , Xiaojuan Qi