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This work proposes a novel method to generate realistic talking head videos using audio and visual streams. We animate a source image by transferring head motion from a driving video using a dense motion field generated using learnable…

Computer Vision and Pattern Recognition · Computer Science 2022-10-07 Madhav Agarwal , Rudrabha Mukhopadhyay , Vinay Namboodiri , C V Jawahar

Recent diffusion-based talking face generation models have demonstrated impressive potential in synthesizing videos that accurately match a speech audio clip with a given reference identity. However, existing approaches still encounter…

Computer Vision and Pattern Recognition · Computer Science 2025-10-16 Xingpei Ma , Jiaran Cai , Yuansheng Guan , Shenneng Huang , Qiang Zhang , Shunsi Zhang

In this paper, we propose a novel audio-driven talking head method capable of simultaneously generating highly expressive facial expressions and hand gestures. Unlike existing methods that focus on generating full-body or half-body poses,…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Linrui Tian , Siqi Hu , Qi Wang , Bang Zhang , Liefeng Bo

Recent advances in video diffusion models have unlocked new potential for realistic audio-driven talking video generation. However, achieving seamless audio-lip synchronization, maintaining long-term identity consistency, and producing…

Computer Vision and Pattern Recognition · Computer Science 2024-12-06 Longtao Zheng , Yifan Zhang , Hanzhong Guo , Jiachun Pan , Zhenxiong Tan , Jiahao Lu , Chuanxin Tang , Bo An , Shuicheng Yan

Real-time interactive video-chat portraits have been increasingly recognized as the future trend, particularly due to the remarkable progress made in text and voice chat technologies. However, existing methods primarily focus on real-time…

Computer Vision and Pattern Recognition · Computer Science 2025-03-28 Jinwei Qi , Chaonan Ji , Sheng Xu , Peng Zhang , Bang Zhang , Liefeng Bo

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

We propose Machines Talking To Machines (M2M), a framework combining automation and crowdsourcing to rapidly bootstrap end-to-end dialogue agents for goal-oriented dialogues in arbitrary domains. M2M scales to new tasks with just a task…

Artificial Intelligence · Computer Science 2018-01-16 Pararth Shah , Dilek Hakkani-Tür , Gokhan Tür , Abhinav Rastogi , Ankur Bapna , Neha Nayak , Larry Heck

Recent advances in diffusion-based video generation have enabled photo-realistic short clips, but current methods still struggle to achieve multi-modal consistency when jointly generating whole-body motion and natural speech. Current…

Computer Vision and Pattern Recognition · Computer Science 2025-07-30 Xinhan Di , Kristin Qi , Pengqian Yu

In order to build self-consistent personalized dialogue agents, previous research has mostly focused on textual persona that delivers personal facts or personalities. However, to fully describe the multi-faceted nature of persona, image…

Computation and Language · Computer Science 2023-05-30 Jaewoo Ahn , Yeda Song , Sangdoo Yun , Gunhee Kim

Recent advances in conversational AI have been substantial, but developing real-time systems for perceptual task guidance remains challenging. These systems must provide interactive, proactive assistance based on streaming visual inputs,…

Artificial Intelligence · Computer Science 2025-06-09 Yichi Zhang , Xin Luna Dong , Zhaojiang Lin , Andrea Madotto , Anuj Kumar , Babak Damavandi , Joyce Chai , Seungwhan Moon

Video face swapping is crucial in film and entertainment production, where achieving high fidelity and temporal consistency over long and complex video sequences remains a significant challenge. Inspired by recent advances in…

Computer Vision and Pattern Recognition · Computer Science 2026-04-06 Zekai Luo , Zongze Du , Zhouhang Zhu , Hao Zhong , Muzhi Zhu , Wen Wang , Yuling Xi , Chenchen Jing , Hao Chen , Chunhua Shen

We present a new listening head generation benchmark, for synthesizing responsive feedbacks of a listener (e.g., nod, smile) during a face-to-face conversation. As the indispensable complement to talking heads generation, listening head…

Computer Vision and Pattern Recognition · Computer Science 2022-07-21 Mohan Zhou , Yalong Bai , Wei Zhang , Ting Yao , Tiejun Zhao , Tao Mei

This paper studies an efficient multimodal data communication scheme for video conferencing. In our considered system, a speaker gives a talk to the audiences, with talking head video and audio being transmitted. Since the speaker does not…

Multimedia · Computer Science 2024-10-30 Haonan Tong , Haopeng Li , Hongyang Du , Zhaohui Yang , Changchuan Yin , Dusit Niyato

Different people speak with diverse personalized speaking styles. Although existing one-shot talking head methods have made significant progress in lip sync, natural facial expressions, and stable head motions, they still cannot generate…

Computer Vision and Pattern Recognition · Computer Science 2023-06-13 Yifeng Ma , Suzhen Wang , Zhipeng Hu , Changjie Fan , Tangjie Lv , Yu Ding , Zhidong Deng , Xin Yu

Recent advances in language models have achieved significant progress. GPT-4o, as a new milestone, has enabled real-time conversations with humans, demonstrating near-human natural fluency. Such human-computer interaction necessitates…

Artificial Intelligence · Computer Science 2024-11-06 Zhifei Xie , Changqiao Wu

This paper focuses on the task of speech-driven 3D facial animation, which aims to generate realistic and synchronized facial motions driven by speech inputs. Recent methods have employed audio-conditioned diffusion models for 3D facial…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Yifan Yang , Zhi Cen , Sida Peng , Xiangwei Chen , Yifu Deng , Xinyu Zhu , Fan Jia , Xiaowei Zhou , Hujun Bao

Recently, 2D speaking avatars have increasingly participated in everyday scenarios due to the fast development of facial animation techniques. However, most existing works neglect the explicit control of human bodies. In this paper, we…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Jiazhi Guan , Quanwei Yang , Kaisiyuan Wang , Hang Zhou , Shengyi He , Zhiliang Xu , Haocheng Feng , Errui Ding , Jingdong Wang , Hongtao Xie , Youjian Zhao , Ziwei Liu

The objective of face animation is to generate dynamic and expressive talking head videos from a single reference face, utilizing driving conditions derived from either video or audio inputs. Current approaches often require fine-tuning for…

Computer Vision and Pattern Recognition · Computer Science 2024-07-15 He Feng , Donglin Di , Yongjia Ma , Wei Chen , Tonghua Su

The synthesis of 3D facial animations from speech has garnered considerable attention. Due to the scarcity of high-quality 4D facial data and well-annotated abundant multi-modality labels, previous methods often suffer from limited realism…

Computer Vision and Pattern Recognition · Computer Science 2024-01-31 Qingcheng Zhao , Pengyu Long , Qixuan Zhang , Dafei Qin , Han Liang , Longwen Zhang , Yingliang Zhang , Jingyi Yu , Lan Xu

People interacting with voice assistants are often frustrated by voice assistants' frequent errors and inability to respond to backchannel cues. We introduce an open-source video dataset of 21 participants' interactions with a voice…

Human-Computer Interaction · Computer Science 2021-04-16 Andrea Cuadra , Hansol Lee , Jason Cho , Wendy Ju
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