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Researchers have shown a growing interest in Audio-driven Talking Head Generation. The primary challenge in talking head generation is achieving audio-visual coherence between the lips and the audio, known as lip synchronization. This paper…

Sound · Computer Science 2026-02-03 Zhipeng Chen , Xinheng Wang , Lun Xie , Haijie Yuan , Hang Pan

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

Recent advancements in speech-driven 3D talking head generation have made significant progress in lip synchronization. However, existing models still struggle to capture the perceptual alignment between varying speech characteristics and…

Graphics · Computer Science 2025-04-01 Lee Chae-Yeon , Oh Hyun-Bin , Han EunGi , Kim Sung-Bin , Suekyeong Nam , Tae-Hyun Oh

Talking face generation aims to create realistic videos with accurate lip synchronization and high visual quality, using given audio and reference video while preserving identity and visual characteristics. In this paper, we start by…

Computer Vision and Pattern Recognition · Computer Science 2024-07-19 Dogucan Yaman , Fevziye Irem Eyiokur , Leonard Bärmann , Hazim Kemal Ekenel , Alexander Waibel

In this work, we address the task of unconditional head motion generation to animate still human faces in a low-dimensional semantic space from a single reference pose. Different from traditional audio-conditioned talking head generation…

Computer Vision and Pattern Recognition · Computer Science 2023-04-18 Louis Airale , Xavier Alameda-Pineda , Stéphane Lathuilière , Dominique Vaufreydaz

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

Co-speech gesture generation is to synthesize a gesture sequence that not only looks real but also matches with the input speech audio. Our method generates the movements of a complete upper body, including arms, hands, and the head.…

Computer Vision and Pattern Recognition · Computer Science 2021-11-30 Shenhan Qian , Zhi Tu , Yihao Zhi , Wen Liu , Shenghua Gao

Talking head generation is to synthesize a lip-synchronized talking head video by inputting an arbitrary face image and corresponding audio clips. Existing methods ignore not only the interaction and relationship of cross-modal information,…

Computer Vision and Pattern Recognition · Computer Science 2024-11-01 Sen Chen , Zhilei Liu , Jiaxing Liu , Longbiao Wang

Audio-driven talking head generation has drawn much attention in recent years, and many efforts have been made in lip-sync, expressive facial expressions, natural head pose generation, and high video quality. However, no model has yet led…

Computer Vision and Pattern Recognition · Computer Science 2023-12-08 Xusen Sun , Longhao Zhang , Hao Zhu , Peng Zhang , Bang Zhang , Xinya Ji , Kangneng Zhou , Daiheng Gao , Liefeng Bo , Xun Cao

Cross-modality generation is an emerging topic that aims to synthesize data in one modality based on information in a different modality. In this paper, we consider a task of such: given an arbitrary audio speech and one lip image of…

Computer Vision and Pattern Recognition · Computer Science 2018-05-23 Lele Chen , Zhiheng Li , Ross K. Maddox , Zhiyao Duan , Chenliang Xu

Real-world talking faces often accompany with natural head movement. However, most existing talking face video generation methods only consider facial animation with fixed head pose. In this paper, we address this problem by proposing a…

Computer Vision and Pattern Recognition · Computer Science 2020-03-06 Ran Yi , Zipeng Ye , Juyong Zhang , Hujun Bao , Yong-Jin Liu

We devise a cascade GAN approach to generate talking face video, which is robust to different face shapes, view angles, facial characteristics, and noisy audio conditions. Instead of learning a direct mapping from audio to video frames, we…

Computer Vision and Pattern Recognition · Computer Science 2019-05-13 Lele Chen , Ross K. Maddox , Zhiyao Duan , Chenliang Xu

In this paper, we introduce a simple and novel framework for one-shot audio-driven talking head generation. Unlike prior works that require additional driving sources for controlled synthesis in a deterministic manner, we instead…

Graphics · Computer Science 2022-12-09 Zhentao Yu , Zixin Yin , Deyu Zhou , Duomin Wang , Finn Wong , Baoyuan Wang

Generating talking avatar driven by audio remains a significant challenge. Existing methods typically require high computational costs and often lack sufficient facial detail and realism, making them unsuitable for applications that demand…

Computer Vision and Pattern Recognition · Computer Science 2025-01-27 Yujian Liu , Shidang Xu , Jing Guo , Dingbin Wang , Zairan Wang , Xianfeng Tan , Xiaoli Liu

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

Despite recent advances in syncing lip movements with any audio waves, current methods still struggle to balance generation quality and the model's generalization ability. Previous studies either require long-term data for training or…

Computer Vision and Pattern Recognition · Computer Science 2023-05-10 Jiazhi Guan , Zhanwang Zhang , Hang Zhou , Tianshu Hu , Kaisiyuan Wang , Dongliang He , Haocheng Feng , Jingtuo Liu , Errui Ding , Ziwei Liu , Jingdong Wang

Speech-driven facial animation is the process which uses speech signals to automatically synthesize a talking character. The majority of work in this domain creates a mapping from audio features to visual features. This often requires…

Audio and Speech Processing · Electrical Eng. & Systems 2018-07-20 Konstantinos Vougioukas , Stavros Petridis , Maja Pantic

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

Many speech segments in movies are re-recorded in a studio during postproduction, to compensate for poor sound quality as recorded on location. Manual alignment of the newly-recorded speech with the original lip movements is a tedious task.…

Computer Vision and Pattern Recognition · Computer Science 2018-08-21 Tavi Halperin , Ariel Ephrat , Shmuel Peleg

Talking head synthesis, also known as speech-to-lip synthesis, reconstructs the facial motions that align with the given audio tracks. The synthesized videos are evaluated on mainly two aspects, lip-speech synchronization and image…

Machine Learning · Computer Science 2025-03-18 Xulin Fan , Heting Gao , Ziyi Chen , Peng Chang , Mei Han , Mark Hasegawa-Johnson
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