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Related papers: Talking-head Generation with Rhythmic Head Motion

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For realistic talking head generation, creating natural head motion while maintaining accurate lip synchronization is essential. To fulfill this challenging task, we propose DisCoHead, a novel method to disentangle and control head pose and…

Computer Vision and Pattern Recognition · Computer Science 2023-03-15 Geumbyeol Hwang , Sunwon Hong , Seunghyun Lee , Sungwoo Park , Gyeongsu Chae

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

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

Recently, talking-face video generation has received considerable attention. So far most methods generate results with neutral expressions or expressions that are implicitly determined by neural networks in an uncontrollable way. In this…

Computer Vision and Pattern Recognition · Computer Science 2022-04-14 Zipeng Ye , Zhiyao Sun , Yu-Hui Wen , Yanan Sun , Tian Lv , Ran Yi , Yong-Jin Liu

Audio-driven talking-head generation has advanced rapidly with diffusion-based generative models, yet producing temporally coherent videos with fine-grained motion control remains challenging. We propose DEMO, a flow-matching generative…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Peiyin Chen , Zhuowei Yang , Hui Feng , Sheng Jiang , Rui Yan

3D Gaussian splatting-based talking head synthesis has recently gained attention for its ability to render high-fidelity images with real-time inference speed. However, since it is typically trained on only a short video that lacks the…

Computer Vision and Pattern Recognition · Computer Science 2025-02-04 Junuk Cha , Seongro Yoon , Valeriya Strizhkova , Francois Bremond , Seungryul Baek

Most earlier researches on talking face generation have focused on the synchronization of lip motion and speech content. However, head pose and facial emotions are equally important characteristics of natural faces. While audio-driven…

Computer Vision and Pattern Recognition · Computer Science 2024-11-05 Changpeng Cai , Guinan Guo , Jiao Li , Junhao Su , Fei Shen , Chenghao He , Jing Xiao , Yuanxu Chen , Lei Dai , Feiyu Zhu

Audio-driven talking head generation is advancing from 2D to 3D content. Notably, Neural Radiance Field (NeRF) is in the spotlight as a means to synthesize high-quality 3D talking head outputs. Unfortunately, this NeRF-based approach…

Computer Vision and Pattern Recognition · Computer Science 2024-05-13 Gihoon Kim , Kwanggyoon Seo , Sihun Cha , Junyong Noh

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 Generation aims at synthesizing natural-looking talking videos from speech and a single portrait image. Previous 3D talking head generation methods have relied on domain-specific heuristics such as warping-based facial motion…

Computer Vision and Pattern Recognition · Computer Science 2026-01-27 Tong Shi , Melonie de Almeida , Daniela Ivanova , Nicolas Pugeault , Paul Henderson

Generating realistic, dyadic talking head video requires ultra-low latency. Existing chunk-based methods require full non-causal context windows, introducing significant delays. This high latency critically prevents the immediate,…

Computer Vision and Pattern Recognition · Computer Science 2026-02-03 Bohong Chen , Haiyang Liu

Speech-driven 3D facial animation aims to generate realistic lip movements and facial expressions for 3D head models from arbitrary audio clips. Although existing diffusion-based methods are capable of producing natural motions, their slow…

Computer Vision and Pattern Recognition · Computer Science 2025-09-05 Xuangeng Chu , Nabarun Goswami , Ziteng Cui , Hanqin Wang , Tatsuya Harada

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

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

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

Audio-driven talking head animation is a challenging research topic with many real-world applications. Recent works have focused on creating photo-realistic 2D animation, while learning different talking or singing styles remains an open…

Computer Vision and Pattern Recognition · Computer Science 2023-03-23 Trong-Thang Pham , Nhat Le , Tuong Do , Hung Nguyen , Erman Tjiputra , Quang D. Tran , Anh Nguyen

Impressive progress has been made in audio-driven 3D facial animation recently, but synthesizing 3D talking-head with rich emotion is still unsolved. This is due to the lack of 3D generative models and available 3D emotional dataset with…

Computer Vision and Pattern Recognition · Computer Science 2021-04-27 Qianyun Wang , Zhenfeng Fan , Shihong Xia

Talking head video generation aims to generate a realistic talking head video that preserves the person's identity from a source image and the motion from a driving video. Despite the promising progress made in the field, it remains a…

Computer Vision and Pattern Recognition · Computer Science 2025-03-26 Shuling Zhao , Fa-Ting Hong , Xiaoshui Huang , Dan Xu

The ability to envisage the visual of a talking face based just on hearing a voice is a unique human capability. There have been a number of works that have solved for this ability recently. We differ from these approaches by enabling a…

Computer Vision and Pattern Recognition · Computer Science 2020-11-24 Ravindra Yadav , Ashish Sardana , Vinay P Namboodiri , Rajesh M Hegde

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