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Video-to-Video synthesis (Vid2Vid) has achieved remarkable results in generating a photo-realistic video from a sequence of semantic maps. However, this pipeline suffers from high computational cost and long inference latency, which largely…

Computer Vision and Pattern Recognition · Computer Science 2022-07-12 Long Zhuo , Guangcong Wang , Shikai Li , Wayne Wu , Ziwei Liu

The task of few-shot visual dubbing focuses on synchronizing the lip movements with arbitrary speech input for any talking head video. Albeit moderate improvements in current approaches, they commonly require high-quality homologous data…

Computer Vision and Pattern Recognition · Computer Science 2022-01-19 Tianyi Xie , Liucheng Liao , Cheng Bi , Benlai Tang , Xiang Yin , Jianfei Yang , Mingjie Wang , Jiali Yao , Yang Zhang , Zejun Ma

Audio-driven talking head synthesis has achieved remarkable photorealism, yet state-of-the-art (SOTA) models exhibit a critical failure: they lack generalization to the full spectrum of human diversity in ethnicity, language, and age…

Computer Vision and Pattern Recognition · Computer Science 2025-08-20 Shunian Chen , Hejin Huang , Yexin Liu , Zihan Ye , Pengcheng Chen , Chenghao Zhu , Michael Guan , Rongsheng Wang , Junying Chen , Guanbin Li , Ser-Nam Lim , Harry Yang , Benyou Wang

Emotionally talking head video generation aims to generate expressive portrait videos with accurate lip synchronization and emotional facial expressions. Current methods rely on simple emotional labels, leading to insufficient semantic…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Yahui Li , Yinfeng Yu , Liejun Wang , Shengjie Shen

Current state-of-the-art (SOTA) methods for audio-driven character animation demonstrate promising performance for scenarios primarily involving speech and singing. However, they often fall short in more complex film and television…

Generating semantically coherent and visually accurate talking faces requires bridging the gap between linguistic meaning and facial articulation. Although audio-driven methods remain prevalent, their reliance on high-quality paired audio…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Xu Wang , Shengeng Tang , Fei Wang , Lechao Cheng , Dan Guo , Feng Xue , Richang Hong

Talking face generation is a novel and challenging generation task, aiming at synthesizing a vivid speaking-face video given a specific audio. To fulfill emotion-controllable talking face generation, current methods need to overcome two…

Computer Vision and Pattern Recognition · Computer Science 2025-08-21 Ziqi Zhang , Cheng Deng

The rapid development of generative artificial intelligence (AI) has introduced significant opportunities for enhancing the efficiency and accuracy of image transmission within semantic communication systems. Despite these advancements,…

Computer Vision and Pattern Recognition · Computer Science 2025-09-29 Qiyu Ma , Wanli Ni , Zhijin Qin

Dialogue models falter in noisy, multi-speaker environments, often producing irrelevant responses and awkward turn-taking. We present AV-Dialog, the first multimodal dialog framework that uses both audio and visual cues to track the target…

Computation and Language · Computer Science 2025-11-17 Tuochao Chen , Bandhav Veluri , Hongyu Gong , Shyamnath Gollakota

While considerable progress has been made in achieving accurate lip synchronization for 3D speech-driven talking face generation, the task of incorporating expressive facial detail synthesis aligned with the speaker's speaking status…

Computer Vision and Pattern Recognition · Computer Science 2024-02-27 Yasheng Sun , Wenqing Chu , Hang Zhou , Kaisiyuan Wang , Hideki Koike

In this paper, we propose a robust semantic communication system for speech transmission, named Ross-S2T, by delivering the essential semantic information. Specifically, we consider the speech-to-text translation (S2TT) as the transmission…

Audio and Speech Processing · Electrical Eng. & Systems 2025-07-08 Zhenzi Weng , Zhijin Qin , Geoffrey Ye Li

People may perform diverse gestures affected by various mental and physical factors when speaking the same sentences. This inherent one-to-many relationship makes co-speech gesture generation from audio particularly challenging.…

Computer Vision and Pattern Recognition · Computer Science 2023-01-18 Jing Li , Di Kang , Wenjie Pei , Xuefei Zhe , Ying Zhang , Linchao Bao , Zhenyu He

This paper presents an audio-visual approach for voice separation which produces state-of-the-art results at a low latency in two scenarios: speech and singing voice. The model is based on a two-stage network. Motion cues are obtained with…

Sound · Computer Science 2022-07-20 Juan F. Montesinos , Venkatesh S. Kadandale , Gloria Haro

The introduction of diffusion models has brought significant advances to the field of audio-driven talking head generation. However, the extremely slow inference speed severely limits the practical implementation of diffusion-based talking…

Graphics · Computer Science 2025-11-18 Haotian Wang , Yuzhe Weng , Jun Du , Haoran Xu , Xiaoyan Wu , Shan He , Bing Yin , Cong Liu , Jianqing Gao , Qingfeng Liu

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

In this paper, we explore the visual representations produced from a pre-trained text-to-video (T2V) diffusion model for video understanding tasks. We hypothesize that the latent representation learned from a pretrained generative T2V model…

Computer Vision and Pattern Recognition · Computer Science 2024-07-09 Zixin Zhu , Xuelu Feng , Dongdong Chen , Junsong Yuan , Chunming Qiao , Gang Hua

Text-to-video diffusion models enable the generation of high-quality videos that follow text instructions, making it easy to create diverse and individual content. However, existing approaches mostly focus on high-quality short video…

Computer Vision and Pattern Recognition · Computer Science 2025-04-17 Roberto Henschel , Levon Khachatryan , Hayk Poghosyan , Daniil Hayrapetyan , Vahram Tadevosyan , Zhangyang Wang , Shant Navasardyan , Humphrey Shi

Satellite communications face severe bottlenecks in supporting high-fidelity synchronized audiovisual services, as conventional schemes struggle with cross-modal coherence under fluctuating channel conditions, limited bandwidth, and long…

Image and Video Processing · Electrical Eng. & Systems 2026-03-12 Fangyu Liu , Peiwen Jiang , Wenjin Wang , Chao-Kai Wen , Xiao Li , Shi Jin

Talking head generation is to generate video based on a given source identity and target motion. However, current methods face several challenges that limit the quality and controllability of the generated videos. First, the generated face…

Computer Vision and Pattern Recognition · Computer Science 2023-11-03 Yue Gao , Yuan Zhou , Jinglu Wang , Xiao Li , Xiang Ming , Yan Lu

Dialog systems need to understand dynamic visual scenes in order to have conversations with users about the objects and events around them. Scene-aware dialog systems for real-world applications could be developed by integrating…

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