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Portrait animation aims to synthesize talking videos from a static reference face, conditioned on audio and style frame cues (e.g., emotion and head poses), while ensuring precise lip synchronization and faithful reproduction of speaking…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 He Feng , Yongjia Ma , Donglin Di , Lei Fan , Tonghua Su , Xiangqian Wu

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

Deriving co-speech 3D gestures has seen tremendous progress in virtual avatar animation. Yet, the existing methods often produce stiff and unreasonable gestures with unseen human speech inputs due to the limited 3D speech-gesture data. In…

Computer Vision and Pattern Recognition · Computer Science 2025-04-28 Xingqun Qi , Hengyuan Zhang , Yatian Wang , Jiahao Pan , Chen Liu , Peng Li , Xiaowei Chi , Mengfei Li , Wei Xue , Shanghang Zhang , Wenhan Luo , Qifeng Liu , Yike Guo

When virtual agents interact with humans, gestures are crucial to delivering their intentions with speech. Previous multimodal co-speech gesture generation models required encoded features of all modalities to generate gestures. If some…

Computer Vision and Pattern Recognition · Computer Science 2023-05-26 Gwantae Kim , Seonghyeok Noh , Insung Ham , Hanseok Ko

Generating vivid and diverse 3D co-speech gestures is crucial for various applications in animating virtual avatars. While most existing methods can generate gestures from audio directly, they usually overlook that emotion is one of the key…

Computer Vision and Pattern Recognition · Computer Science 2024-01-04 Xingqun Qi , Chen Liu , Lincheng Li , Jie Hou , Haoran Xin , Xin Yu

Recent advancements in language models have demonstrated their adeptness in conducting multi-turn dialogues and retaining conversational context. However, this proficiency remains largely unexplored in other multimodal generative models,…

Computer Vision and Pattern Recognition · Computer Science 2024-04-04 Biao Jiang , Xin Chen , Chi Zhang , Fukun Yin , Zhuoyuan Li , Gang YU , Jiayuan Fan

Gestures are essential for enhancing co-speech communication, offering visual emphasis and complementing verbal interactions. While prior work has concentrated on point-level motion or fully supervised data-driven methods, we focus on…

Computer Vision and Pattern Recognition · Computer Science 2025-03-28 Jiahui Chen , Yang Huan , Runhua Shi , Chanfan Ding , Xiaoqi Mo , Siyu Xiong , Yinong He

Due to their significance in human communication, the automatic generation of co-speech gestures in artificial embodied agents has received a lot of attention. Although modern deep learning approaches can generate realistic-looking…

Human-Computer Interaction · Computer Science 2023-07-20 Hendric Voß , Stefan Kopp

A key component of dyadic spoken interactions is the contextually relevant non-verbal gestures, such as head movements that reflect a listener's response to the interlocutor's speech. Although significant progress has been made in the…

Robotics · Computer Science 2024-10-01 Bishal Ghosh , Emma Li , Tanaya Guha

Recently, multi-person video generation has started to gain prominence. While a few preliminary works have explored audio-driven multi-person talking video generation, they often face challenges due to the high costs of diverse multi-person…

Computer Vision and Pattern Recognition · Computer Science 2025-12-01 Zhizhou Zhong , Yicheng Ji , Zhe Kong , Yiying Liu , Jiarui Wang , Jiasun Feng , Lupeng Liu , Xiangyi Wang , Yanjia Li , Yuqing She , Ying Qin , Huan Li , Shuiyang Mao , Wei Liu , Wenhan Luo

Generating realistic conversational gestures are essential for achieving natural, socially engaging interactions with digital humans. However, existing methods typically map a single audio stream to a single speaker's motion, without…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Yichen Peng , Jyun-Ting Song , Siyeol Jung , Ruofan Liu , Haiyang Liu , Xuangeng Chu , Ruicong Liu , Erwin Wu , Hideki Koike , Kris Kitani

Conversational Speech Synthesis (CSS) is a key task in the user-agent interaction area, aiming to generate more expressive and empathetic speech for users. However, it is well-known that "listening" and "eye contact" play crucial roles in…

Audio and Speech Processing · Electrical Eng. & Systems 2025-08-08 Yifan Hu , Rui Liu , Yi Ren , Xiang Yin , Haizhou Li

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

We introduce FaceTalk, a novel generative approach designed for synthesizing high-fidelity 3D motion sequences of talking human heads from input audio signal. To capture the expressive, detailed nature of human heads, including hair, ears,…

Computer Vision and Pattern Recognition · Computer Science 2024-03-19 Shivangi Aneja , Justus Thies , Angela Dai , Matthias Nießner

Synthesizing human--object interaction (HOI) videos has broad practical value in e-commerce, digital advertising, and virtual marketing. However, current diffusion models, despite their photorealistic rendering capability, still frequently…

Computer Vision and Pattern Recognition · Computer Science 2026-04-22 Xiangyang Luo , Xiaozhe Xin , Tao Feng , Xu Guo , Meiguang Jin , Junfeng Ma

In this paper, we present TalkingMachines -- an efficient framework that transforms pretrained video generation models into real-time, audio-driven character animators. TalkingMachines enables natural conversational experiences by…

Sound · Computer Science 2025-06-04 Chetwin Low , Weimin Wang

The art of communication beyond speech there are gestures. The automatic co-speech gesture generation draws much attention in computer animation. It is a challenging task due to the diversity of gestures and the difficulty of matching the…

Human-Computer Interaction · Computer Science 2023-05-09 Sicheng Yang , Zhiyong Wu , Minglei Li , Zhensong Zhang , Lei Hao , Weihong Bao , Ming Cheng , Long Xiao

Socially interactive agents are gaining prominence in domains like healthcare, education, and service contexts, particularly virtual agents due to their inherent scalability. To facilitate authentic interactions, these systems require…

Human-Computer Interaction · Computer Science 2025-01-22 Oliver Chojnowski , Alexander Eberhard , Michael Schiffmann , Ana Müller , Anja Richert

Speech-driven 3D facial animation has been an attractive task in both academia and industry. Traditional methods mostly focus on learning a deterministic mapping from speech to animation. Recent approaches start to consider the…

Computer Vision and Pattern Recognition · Computer Science 2023-12-05 Peng Chen , Xiaobao Wei , Ming Lu , Yitong Zhu , Naiming Yao , Xingyu Xiao , Hui Chen

Creating realistic, natural, and lip-readable talking face videos remains a formidable challenge. Previous research primarily concentrated on generating and aligning single-frame images while overlooking the smoothness of frame-to-frame…

Computer Vision and Pattern Recognition · Computer Science 2024-05-29 Shuheng Ge , Haoyu Xing , Li Zhang , Xiangqian Wu