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Audio-driven talking head generation has drawn much attention in recent years, and many efforts have been made in lip-sync, expressive facial expressions, natural head pose generation, and high video quality. However, no model has yet led…

Computer Vision and Pattern Recognition · Computer Science 2023-12-08 Xusen Sun , Longhao Zhang , Hao Zhu , Peng Zhang , Bang Zhang , Xinya Ji , Kangneng Zhou , Daiheng Gao , Liefeng Bo , Xun Cao

Coordinated audio generation based on video inputs typically requires a strict audio-visual (AV) alignment, where both semantics and rhythmics of the generated audio segments shall correspond to those in the video frames. Previous studies…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Shentong Mo , Yibing Song

The text generation paradigm for audio tasks has opened new possibilities for unified audio understanding. However, existing models face significant challenges in achieving a comprehensive understanding across diverse audio types, such as…

Audio and Speech Processing · Electrical Eng. & Systems 2025-05-28 Ziqian Wang , Xianjun Xia , Xinfa Zhu , Lei Xie

Audio-driven talking head generation is a significant and challenging task applicable to various fields such as virtual avatars, film production, and online conferences. However, the existing GAN-based models emphasize generating…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Jintao Tan , Xize Cheng , Lingyu Xiong , Lei Zhu , Xiandong Li , Xianjia Wu , Kai Gong , Minglei Li , Yi Cai

In audio and speech processing, tasks usually focus on either the audio or speech modality, even when both sounds and human speech are present in the same audio clip. Recent Auditory Large Language Models (ALLMs) have made it possible to…

Sound · Computer Science 2025-01-14 Yingzhi Wang , Pooneh Mousavi , Artem Ploujnikov , Mirco Ravanelli

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

Recent advances in large language models have facilitated the development of unified speech language models (SLMs) capable of supporting multiple speech tasks within a shared architecture. However, tasks such as automatic speech recognition…

Audio and Speech Processing · Electrical Eng. & Systems 2025-09-24 Yuke Si , Runyan Yang , Yingying Gao , Junlan Feng , Chao Deng , Shilei Zhang

Diffusion models, and their generalization, flow matching, have had a remarkable impact on the field of media generation. Here, the conventional approach is to learn the complex mapping from a simple source distribution of Gaussian noise to…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Qihao Liu , Xi Yin , Alan Yuille , Andrew Brown , Mannat Singh

Whenever we speak, our voice is accompanied by facial movements and expressions. Several recent works have shown the synthesis of highly photo-realistic videos of talking faces, but they either require a source video to drive the target…

Computer Vision and Pattern Recognition · Computer Science 2020-11-03 Prateek Manocha , Prithwijit Guha

Generating spoken dialogue is inherently more complex than monologue text-to-speech (TTS), as it demands both realistic turn-taking and the maintenance of distinct speaker timbres. While existing autoregressive (AR) models have made…

Audio and Speech Processing · Electrical Eng. & Systems 2026-04-15 Han Zhu , Wei Kang , Liyong Guo , Zengwei Yao , Fangjun Kuang , Weiji Zhuang , Zhaoqing Li , Zhifeng Han , Dong Zhang , Xin Zhang , Xingchen Song , Lingxuan Ye , Long Lin , Daniel Povey

Generating realistic talking-head videos remains challenging due to persistent issues such as imperfect lip synchronization, unnatural motion, and evaluation metrics that correlate poorly with human perception. We propose FlowPortrait, a…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Weiting Tan , Andy T. Liu , Ming Tu , Xinghua Qu , Philipp Koehn , Lu Lu

Generative models excel at motion synthesis for a fixed number of agents but struggle to generalize with variable agents. Based on limited, domain-specific data, existing methods employ autoregressive models to generate motion recursively,…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Guanhe Huang , Oya Celiktutan

Face-to-face communication is a common scenario including roles of speakers and listeners. Most existing research methods focus on producing speaker videos, while the generation of listener heads remains largely overlooked. Responsive…

Computer Vision and Pattern Recognition · Computer Science 2023-09-01 Jin Liu , Xi Wang , Xiaomeng Fu , Yesheng Chai , Cai Yu , Jiao Dai , Jizhong Han

Facial animation is a core component for creating digital characters in Computer Graphics (CG) industry. A typical production workflow relies on sparse, semantically meaningful keyframes to precisely control facial expressions. Enabling…

Computer Vision and Pattern Recognition · Computer Science 2026-05-13 Jingchao Wu , Zejian Kang , Haibo Liu , Yuanchen Fei , Xiangru Huang

We present a method that generates expressive talking heads from a single facial image with audio as the only input. In contrast to previous approaches that attempt to learn direct mappings from audio to raw pixels or points for creating…

Computer Vision and Pattern Recognition · Computer Science 2021-02-26 Yang Zhou , Xintong Han , Eli Shechtman , Jose Echevarria , Evangelos Kalogerakis , Dingzeyu Li

Real-time speech interaction, serving as a fundamental interface for human-machine collaboration, holds immense potential. However, current open-source models face limitations such as high costs in voice data collection, weakness in dynamic…

Computation and Language · Computer Science 2025-02-19 Ailin Huang , Boyong Wu , Bruce Wang , Chao Yan , Chen Hu , Chengli Feng , Fei Tian , Feiyu Shen , Jingbei Li , Mingrui Chen , Peng Liu , Ruihang Miao , Wang You , Xi Chen , Xuerui Yang , Yechang Huang , Yuxiang Zhang , Zheng Gong , Zixin Zhang , Hongyu Zhou , Jianjian Sun , Brian Li , Chengting Feng , Changyi Wan , Hanpeng Hu , Jianchang Wu , Jiangjie Zhen , Ranchen Ming , Song Yuan , Xuelin Zhang , Yu Zhou , Bingxin Li , Buyun Ma , Hongyuan Wang , Kang An , Wei Ji , Wen Li , Xuan Wen , Xiangwen Kong , Yuankai Ma , Yuanwei Liang , Yun Mou , Bahtiyar Ahmidi , Bin Wang , Bo Li , Changxin Miao , Chen Xu , Chenrun Wang , Dapeng Shi , Deshan Sun , Dingyuan Hu , Dula Sai , Enle Liu , Guanzhe Huang , Gulin Yan , Heng Wang , Haonan Jia , Haoyang Zhang , Jiahao Gong , Junjing Guo , Jiashuai Liu , Jiahong Liu , Jie Feng , Jie Wu , Jiaoren Wu , Jie Yang , Jinguo Wang , Jingyang Zhang , Junzhe Lin , Kaixiang Li , Lei Xia , Li Zhou , Liang Zhao , Longlong Gu , Mei Chen , Menglin Wu , Ming Li , Mingxiao Li , Mingliang Li , Mingyao Liang , Na Wang , Nie Hao , Qiling Wu , Qinyuan Tan , Ran Sun , Shuai Shuai , Shaoliang Pang , Shiliang Yang , Shuli Gao , Shanshan Yuan , Siqi Liu , Shihong Deng , Shilei Jiang , Sitong Liu , Tiancheng Cao , Tianyu Wang , Wenjin Deng , Wuxun Xie , Weipeng Ming , Wenqing He , Wen Sun , Xin Han , Xin Huang , Xiaomin Deng , Xiaojia Liu , Xin Wu , Xu Zhao , Yanan Wei , Yanbo Yu , Yang Cao , Yangguang Li , Yangzhen Ma , Yanming Xu , Yaoyu Wang , Yaqiang Shi , Yilei Wang , Yizhuang Zhou , Yinmin Zhong , Yang Zhang , Yaoben Wei , Yu Luo , Yuanwei Lu , Yuhe Yin , Yuchu Luo , Yuanhao Ding , Yuting Yan , Yaqi Dai , Yuxiang Yang , Zhe Xie , Zheng Ge , Zheng Sun , Zhewei Huang , Zhichao Chang , Zhisheng Guan , Zidong Yang , Zili Zhang , Binxing Jiao , Daxin Jiang , Heung-Yeung Shum , Jiansheng Chen , Jing Li , Shuchang Zhou , Xiangyu Zhang , Xinhao Zhang , Yibo Zhu

Text-to-motion generation has advanced rapidly, yet two challenges persist. First, existing motion autoencoders compress each frame into a single monolithic latent vector, entangling trajectory and per-joint rotations in an unstructured…

Computer Vision and Pattern Recognition · Computer Science 2026-03-11 Zeyu Ling , Qing Shuai , Teng Zhang , Shiyang Li , Bo Han , Changqing Zou

In this work, we propose a joint system combining a talking face generation system with a text-to-speech system that can generate multilingual talking face videos from only the text input. Our system can synthesize natural multilingual…

Computer Vision and Pattern Recognition · Computer Science 2022-05-16 Hyoung-Kyu Song , Sang Hoon Woo , Junhyeok Lee , Seungmin Yang , Hyunjae Cho , Youseong Lee , Dongho Choi , Kang-wook Kim

Lip synchronization is the task of aligning a speaker's lip movements in video with corresponding speech audio, and it is essential for creating realistic, expressive video content. However, existing methods often rely on reference frames…

Computer Vision and Pattern Recognition · Computer Science 2025-09-19 Ziqiao Peng , Jiwen Liu , Haoxian Zhang , Xiaoqiang Liu , Songlin Tang , Pengfei Wan , Di Zhang , Hongyan Liu , Jun He

Audio-driven facial animation is essential for immersive digital interaction, yet existing frameworks fail to reconcile real-time streaming with high-fidelity personalization. Current methods often rely on latency-inducing audio look-ahead,…

Graphics · Computer Science 2026-04-28 Xuangeng Chu , Yu Han , Wei Mao , Shih-En Wei