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Digital humans and, especially, 3D facial avatars have raised a lot of attention in the past years, as they are the backbone of several applications like immersive telepresence in AR or VR. Despite the progress, facial avatars reconstructed…

Computer Vision and Pattern Recognition · Computer Science 2023-11-27 Berna Kabadayi , Wojciech Zielonka , Bharat Lal Bhatnagar , Gerard Pons-Moll , Justus Thies

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

Audio-driven one-shot talking face generation methods are usually trained on video resources of various persons. However, their created videos often suffer unnatural mouth shapes and asynchronous lips because those methods struggle to learn…

Computer Vision and Pattern Recognition · Computer Science 2021-12-07 Suzhen Wang , Lincheng Li , Yu Ding , Xin Yu

Talking head generation creates lifelike avatars from static portraits for virtual communication and content creation. However, current models do not yet convey the feeling of truly interactive communication, often generating one-way…

Machine Learning · Computer Science 2026-01-05 Taekyung Ki , Sangwon Jang , Jaehyeong Jo , Jaehong Yoon , Sung Ju Hwang

Animating virtual characters has always been a fundamental research problem in virtual reality (VR). Facial animations play a crucial role as they effectively convey emotions and attitudes of virtual humans. However, creating such facial…

Human-Computer Interaction · Computer Science 2024-02-22 Zechen Bai , Peng Chen , Xiaolan Peng , Lu Liu , Hui Chen , Mike Zheng Shou , Feng Tian

Multi-view volumetric rendering techniques have recently shown great potential in modeling and synthesizing high-quality head avatars. A common approach to capture full head dynamic performances is to track the underlying geometry using a…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Kartik Teotia , Mallikarjun B R , Xingang Pan , Hyeongwoo Kim , Pablo Garrido , Mohamed Elgharib , Christian Theobalt

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

The demand for realistic and versatile character animation has surged, driven by its wide-ranging applications in various domains. However, the animation generation algorithms modeling human pose with 2D or 3D structures all face various…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 Tianyu Sun , Zhoujie Fu , Bang Zhang , Guosheng Lin

We introduce AV-Flow, an audio-visual generative model that animates photo-realistic 4D talking avatars given only text input. In contrast to prior work that assumes an existing speech signal, we synthesize speech and vision jointly. We…

Computer Vision and Pattern Recognition · Computer Science 2025-02-19 Aggelina Chatziagapi , Louis-Philippe Morency , Hongyu Gong , Michael Zollhoefer , Dimitris Samaras , Alexander Richard

Creating personalized 3D animations with precise control and realistic head motions remains challenging for current speech-driven 3D facial animation methods. Editing these animations is especially complex and time consuming, requires…

Graphics · Computer Science 2025-10-01 Balamurugan Thambiraja , Malte Prinzler , Sadegh Aliakbarian , Darren Cosker , Justus Thies

Video-to-audio (V2A) generation leverages visual-only video features to render plausible sounds that match the scene. Importantly, the generated sound onsets should match the visual actions that are aligned with them, otherwise unnatural…

Sound · Computer Science 2024-07-16 Santiago Pascual , Chunghsin Yeh , Ioannis Tsiamas , Joan Serrà

With recent advancements in neural rendering and motion capture algorithms, remarkable progress has been made in photorealistic human avatar modeling, unlocking immense potential for applications in virtual reality, augmented reality,…

Computer Vision and Pattern Recognition · Computer Science 2025-05-22 Hendrik Junkawitsch , Guoxing Sun , Heming Zhu , Christian Theobalt , Marc Habermann

Significant progress has been made in talking-face video generation research; however, precise lip-audio synchronization and high visual quality remain challenging in editing lip shapes based on input audio. This paper introduces JoyGen, a…

Computer Vision and Pattern Recognition · Computer Science 2025-01-06 Qili Wang , Dajiang Wu , Zihang Xu , Junshi Huang , Jun Lv

Despite advances in audio-driven video generation, achieving commercial-grade stability remains challenging. We present LongCat-Video-Avatar 1.5, an upgraded open-source framework prioritizing systematic engineering and production-readiness…

Computer Vision and Pattern Recognition · Computer Science 2026-05-27 Meituan LongCat Team , Xunliang Cai , Meng Cheng , Feng Gao , Zhe Kong , Jiamu Li , Le Li , Weiheng Li , Hongyu Liu , Shuai Tan , Xiaoming Wei , Tianyu Yang , Yong Zhang

Audio-driven 3D facial animation has several virtual humans applications for content creation and editing. While several existing methods provide solutions for speech-driven animation, precise control over content (what) and style (how) of…

Sound · Computer Science 2024-08-15 Qingju Liu , Hyeongwoo Kim , Gaurav Bharaj

Real-time rendering of human head avatars is a cornerstone of many computer graphics applications, such as augmented reality, video games, and films, to name a few. Recent approaches address this challenge with computationally efficient…

Computer Vision and Pattern Recognition · Computer Science 2024-09-19 Kartik Teotia , Hyeongwoo Kim , Pablo Garrido , Marc Habermann , Mohamed Elgharib , Christian Theobalt

Recent advances in diffusion models have significantly improved audio-driven human video generation, surpassing traditional methods in both quality and controllability. However, existing approaches still face challenges in lip-sync…

Computer Vision and Pattern Recognition · Computer Science 2025-11-19 Xingpei Ma , Shenneng Huang , Jiaran Cai , Yuansheng Guan , Shen Zheng , Hanfeng Zhao , Qiang Zhang , Shunsi Zhang

Speech-driven 3D facial animation has recently garnered attention due to its cost-effective usability in multimedia production. However, most current advances overlook the intelligibility of lip movements, limiting the realism of facial…

Computer Vision and Pattern Recognition · Computer Science 2024-07-02 Han EunGi , Oh Hyun-Bin , Kim Sung-Bin , Corentin Nivelet Etcheberry , Suekyeong Nam , Janghoon Joo , Tae-Hyun Oh

In order to be widely applicable, speech-driven 3D head avatars must articulate their lips in accordance with speech, while also conveying the appropriate emotions with dynamically changing facial expressions. The key problem is that…

Graphics · Computer Science 2026-01-28 Radek Daněček , Carolin Schmitt , Senya Polikovsky , Michael J. Black

Recent advancements in audio-driven talking face generation have made great progress in lip synchronization. However, current methods often lack sufficient control over facial animation such as speaking style and emotional expression,…

Computer Vision and Pattern Recognition · Computer Science 2025-03-21 Baiqin Wang , Xiangyu Zhu , Fan Shen , Hao Xu , Zhen Lei