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Related papers: 3D-TalkEmo: Learning to Synthesize 3D Emotional Ta…

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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

Speech-driven three-dimensional (3D) facial animation synthesis aims to build a mapping from one-dimensional (1D) speech signals to time-varying 3D facial motion signals. Current methods still face challenges in maintaining lip-sync…

Computer Vision and Pattern Recognition · Computer Science 2026-04-06 Bin Liu , Zhixiang Xiong , Zhifen He , Bo Li

The domain of 3D talking head generation has witnessed significant progress in recent years. A notable challenge in this field consists in blending speech-related motions with expression dynamics, which is primarily caused by the lack of…

Computer Vision and Pattern Recognition · Computer Science 2025-06-10 Federico Nocentini , Claudio Ferrari , Stefano Berretti

Recent methods for audio-driven talking head synthesis often optimize neural radiance fields (NeRF) on a monocular talking portrait video, leveraging its capability to render high-fidelity and 3D-consistent novel-view frames. However, they…

Computer Vision and Pattern Recognition · Computer Science 2024-04-01 Jaehoon Ko , Kyusun Cho , Joungbin Lee , Heeji Yoon , Sangmin Lee , Sangjun Ahn , Seungryong Kim

Speech-driven 3D facial animation aims to generate realistic and expressive facial motions directly from audio. While recent methods achieve high-quality lip synchronization, they often rely on discrete emotion categories, limiting…

Multimedia · Computer Science 2026-01-16 Diqiong Jiang , Kai Zhu , Dan Song , Jian Chang , Chenglizhao Chen , Zhenyu Wu

Speech-driven 3D face animation aims to generate realistic facial expressions that match the speech content and emotion. However, existing methods often neglect emotional facial expressions or fail to disentangle them from speech content.…

Computer Vision and Pattern Recognition · Computer Science 2023-08-28 Ziqiao Peng , Haoyu Wu , Zhenbo Song , Hao Xu , Xiangyu Zhu , Jun He , Hongyan Liu , Zhaoxin Fan

Emotion is a critical component of artificial social intelligence. However, while current methods excel in lip synchronization and image quality, they often fail to generate accurate and controllable emotional expressions while preserving…

Computer Vision and Pattern Recognition · Computer Science 2025-08-19 Wenqing Wang , Yun Fu

Audio-driven emotional 3D face animation aims to generate emotionally expressive talking heads with synchronized lip movements. However, previous research has often overlooked the influence of diverse emotions on facial expressions or…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Chang Liu , Qunfen Lin , Zijiao Zeng , Ye Pan

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

3D facial animation has attracted considerable attention due to its extensive applications in the multimedia field. Audio-driven 3D facial animation has been widely explored with promising results. However, multi-modal 3D facial animation,…

Computer Vision and Pattern Recognition · Computer Science 2024-10-11 Sijing Wu , Yunhao Li , Yichao Yan , Huiyu Duan , Ziwei Liu , Guangtao Zhai

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

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

Audio-driven talking-head generation is a crucial and useful technology for virtual human interaction and film-making. While recent advances have focused on improving image fidelity and lip synchronization, generating accurate emotional…

Computer Vision and Pattern Recognition · Computer Science 2025-05-05 Wenqing Wang , Yun Fu

Existing 3D facial emotion modeling have been constrained by limited emotion classes and insufficient datasets. This paper introduces "Emo3D", an extensive "Text-Image-Expression dataset" spanning a wide spectrum of human emotions, each…

Computer Vision and Pattern Recognition · Computer Science 2024-10-04 Mahshid Dehghani , Amirahmad Shafiee , Ali Shafiei , Neda Fallah , Farahmand Alizadeh , Mohammad Mehdi Gholinejad , Hamid Behroozi , Jafar Habibi , Ehsaneddin Asgari

Speech-driven 3D facial animation has garnered lots of attention thanks to its broad range of applications. Despite recent advancements in achieving realistic lip motion, current methods fail to capture the nuanced emotional undertones…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Jisoo Kim , Jungbin Cho , Joonho Park , Soonmin Hwang , Da Eun Kim , Geon Kim , Youngjae Yu

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

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

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

Speech-driven 3D facial animation seeks to produce lifelike facial expressions that are synchronized with the speech content and its emotional nuances, finding applications in various multimedia fields. However, previous methods often…

Computer Vision and Pattern Recognition · Computer Science 2025-03-17 Yixuan Zhang , Qing Chang , Yuxi Wang , Guang Chen , Zhaoxiang Zhang , Junran Peng

Generating talking head videos through a face image and a piece of speech audio still contains many challenges. ie, unnatural head movement, distorted expression, and identity modification. We argue that these issues are mainly because of…

Computer Vision and Pattern Recognition · Computer Science 2023-03-14 Wenxuan Zhang , Xiaodong Cun , Xuan Wang , Yong Zhang , Xi Shen , Yu Guo , Ying Shan , Fei Wang
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