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Related papers: Perceptually Accurate 3D Talking Head Generation: …

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Animating 3D head meshes using audio inputs has significant applications in AR/VR, gaming, and entertainment through 3D avatars. However, bridging the modality gap between speech signals and facial dynamics remains a challenge, often…

Graphics · Computer Science 2025-05-13 Xinmu Wang , Xiang Gao , Xiyun Song , Heather Yu , Zongfang Lin , Liang Peng , Xianfeng Gu

Talking Head Generation (THG) has emerged as a transformative technology in computer vision, enabling the synthesis of realistic human faces synchronized with image, audio, text, or video inputs. This paper provides a comprehensive review…

Computer Vision and Pattern Recognition · Computer Science 2026-01-22 Vineet Kumar Rakesh , Soumya Mazumdar , Research Pratim Maity , Sarbajit Pal , Amitabha Das , Tapas Samanta

We present a novel approach for synthesizing 3D talking heads with controllable emotion, featuring enhanced lip synchronization and rendering quality. Despite significant progress in the field, prior methods still suffer from multi-view…

Computer Vision and Pattern Recognition · Computer Science 2024-08-02 Qianyun He , Xinya Ji , Yicheng Gong , Yuanxun Lu , Zhengyu Diao , Linjia Huang , Yao Yao , Siyu Zhu , Zhan Ma , Songcen Xu , Xiaofei Wu , Zixiao Zhang , Xun Cao , Hao Zhu

The recent state of the art on monocular 3D face reconstruction from image data has made some impressive advancements, thanks to the advent of Deep Learning. However, it has mostly focused on input coming from a single RGB image,…

Computer Vision and Pattern Recognition · Computer Science 2022-07-25 Panagiotis P. Filntisis , George Retsinas , Foivos Paraperas-Papantoniou , Athanasios Katsamanis , Anastasios Roussos , Petros Maragos

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

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

Lip sync is a fundamental audio-visual task. However, existing lip sync methods fall short of being robust in the wild. One important cause could be distracting factors on the visual input side, making extracting lip motion information…

Computer Vision and Pattern Recognition · Computer Science 2024-09-10 Chun Wang

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

Video editing-based talking face generation aims to preserve video details such as pose, lighting, and gestures while modifying only lip motion, often using an identity reference image to maintain speaker consistency. However, this…

Computer Vision and Pattern Recognition · Computer Science 2026-02-11 Dogucan Yaman , Fevziye Irem Eyiokur , Hazım Kemal Ekenel , Alexander Waibel

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

Talking face generation with great practical significance has attracted more attention in recent audio-visual studies. How to achieve accurate lip synchronization is a long-standing challenge to be further investigated. Motivated by xxx, in…

Computer Vision and Pattern Recognition · Computer Science 2022-04-12 Ganglai Wang , Peng Zhang , Lei Xie , Wei Huang , Yufei Zha

In this paper, we propose a novel text-based talking-head video generation framework that synthesizes high-fidelity facial expressions and head motions in accordance with contextual sentiments as well as speech rhythm and pauses. To be…

Computer Vision and Pattern Recognition · Computer Science 2021-05-10 Lincheng Li , Suzhen Wang , Zhimeng Zhang , Yu Ding , Yixing Zheng , Xin Yu , Changjie Fan

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

Talking face generation aims to synthesize a sequence of face images that correspond to a clip of speech. This is a challenging task because face appearance variation and semantics of speech are coupled together in the subtle movements of…

Computer Vision and Pattern Recognition · Computer Science 2019-04-24 Hang Zhou , Yu Liu , Ziwei Liu , Ping Luo , Xiaogang Wang

Recent talking head synthesis works typically adopt speech features extracted from large-scale pre-trained acoustic models. However, the intrinsic many-to-many relationship between speech and lip motion causes phoneme-viseme alignment…

Graphics · Computer Science 2025-10-16 Yihuan Huang , Jiajun Liu , Yanzhen Ren , Jun Xue , Wuyang Liu , Zongkun Sun

We tackle the challenging task of generating complete 3D facial animations for two interacting, co-located participants from a mixed audio stream. While existing methods often produce disembodied "talking heads" akin to a video conference…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Mengyi Shan , Shouchieh Chang , Ziqian Bai , Shichen Liu , Yinda Zhang , Luchuan Song , Rohit Pandey , Sean Fanello , Zeng Huang

To be widely adopted, 3D facial avatars must be animated easily, realistically, and directly from speech signals. While the best recent methods generate 3D animations that are synchronized with the input audio, they largely ignore the…

Computer Vision and Pattern Recognition · Computer Science 2023-09-27 Radek Daněček , Kiran Chhatre , Shashank Tripathi , Yandong Wen , Michael J. Black , Timo Bolkart

Audio-driven lip sync has recently drawn significant attention due to its widespread application in the multimedia domain. Individuals exhibit distinct lip shapes when speaking the same utterance, attributed to the unique speaking styles of…

Computer Vision and Pattern Recognition · Computer Science 2025-06-19 Weizhi Zhong , Jichang Li , Yinqi Cai , Ming Li , Feng Gao , Liang Lin , Guanbin Li

Speech-driven 3D face animation technique, extending its applications to various multimedia fields. Previous research has generated promising realistic lip movements and facial expressions from audio signals. However, traditional regression…

Computer Vision and Pattern Recognition · Computer Science 2023-08-31 Ziqiao Peng , Yihao Luo , Yue Shi , Hao Xu , Xiangyu Zhu , Jun He , Hongyan Liu , Zhaoxin Fan

Person-generic audio-driven face generation is a challenging task in computer vision. Previous methods have achieved remarkable progress in audio-visual synchronization, but there is still a significant gap between current results and…

Computer Vision and Pattern Recognition · Computer Science 2024-08-09 Xiaozhong Ji , Chuming Lin , Zhonggan Ding , Ying Tai , Junwei Zhu , Xiaobin Hu , Donghao Luo , Yanhao Ge , Chengjie Wang