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The objective of this study is to generate high-quality speech from silent talking face videos, a task also known as video-to-speech synthesis. A significant challenge in video-to-speech synthesis lies in the substantial modality gap…

Audio and Speech Processing · Electrical Eng. & Systems 2025-03-24 Ji-Hoon Kim , Jeongsoo Choi , Jaehun Kim , Chaeyoung Jung , Joon Son Chung

Audio-driven talking video generation has advanced significantly, but existing methods often depend on video-to-video translation techniques and traditional generative networks like GANs and they typically generate taking heads and…

Computer Vision and Pattern Recognition · Computer Science 2024-09-13 Steven Hogue , Chenxu Zhang , Hamza Daruger , Yapeng Tian , Xiaohu Guo

In this paper, we propose a talking face generation method that takes an audio signal as input and a short target video clip as reference, and synthesizes a photo-realistic video of the target face with natural lip motions, head poses, and…

Computer Vision and Pattern Recognition · Computer Science 2021-08-19 Chenxu Zhang , Yifan Zhao , Yifei Huang , Ming Zeng , Saifeng Ni , Madhukar Budagavi , Xiaohu Guo

Talking face generation aims to synthesize a face video with precise lip synchronization as well as a smooth transition of facial motion over the entire video via the given speech clip and facial image. Most existing methods mainly focus on…

Computer Vision and Pattern Recognition · Computer Science 2020-05-14 Hao Zhu , Huaibo Huang , Yi Li , Aihua Zheng , Ran He

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

We leverage the modern advancements in talking head generation to propose an end-to-end system for talking head video compression. Our algorithm transmits pivot frames intermittently while the rest of the talking head video is generated by…

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

Creating high-fidelity, animatable 3D talking heads is crucial for immersive applications, yet often hindered by the prevalence of low-quality image or video sources, which yield poor 3D reconstructions. In this paper, we introduce…

Computer Vision and Pattern Recognition · Computer Science 2026-02-09 Ding-Jiun Huang , Yuanhao Wang , Shao-Ji Yuan , Albert Mosella-Montoro , Francisco Vicente Carrasco , Cheng Zhang , Fernando De la Torre

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

Audio-driven 3D facial animation aims to map input audio to realistic facial motion. Despite significant progress, limitations arise from inconsistent 3D annotations, restricting previous models to training on specific annotations and…

Computer Vision and Pattern Recognition · Computer Science 2024-08-02 Xiangyu Fan , Jiaqi Li , Zhiqian Lin , Weiye Xiao , Lei Yang

Generating 3D human models directly from text helps reduce the cost and time of character modeling. However, achieving multi-attribute controllable and realistic 3D human avatar generation is still challenging due to feature coupling and…

Computer Vision and Pattern Recognition · Computer Science 2024-03-21 Chaoqun Gong , Yuqin Dai , Ronghui Li , Achun Bao , Jun Li , Jian Yang , Yachao Zhang , Xiu Li

We propose FlashAvatar, a novel and lightweight 3D animatable avatar representation that could reconstruct a digital avatar from a short monocular video sequence in minutes and render high-fidelity photo-realistic images at 300FPS on a…

Computer Vision and Pattern Recognition · Computer Science 2024-04-01 Jun Xiang , Xuan Gao , Yudong Guo , Juyong Zhang

Audio-driven talking face generation has gained significant attention for applications in digital media and virtual avatars. While recent methods improve audio-lip synchronization, they often struggle with temporal consistency, identity…

Computer Vision and Pattern Recognition · Computer Science 2025-10-28 Fatemeh Nazarieh , Zhenhua Feng , Diptesh Kanojia , Muhammad Awais , Josef Kittler

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

Powered by large-scale text-to-image generation models, text-to-3D avatar generation has made promising progress. However, most methods fail to produce photorealistic results, limited by imprecise geometry and low-quality appearance.…

Computer Vision and Pattern Recognition · Computer Science 2023-12-27 Yuanyou Xu , Zongxin Yang , Yi Yang

This paper proposes a video editor based on OpenShot with several state-of-the-art facial video editing algorithms as added functionalities. Our editor provides an easy-to-use interface to apply modern lip-syncing algorithms interactively.…

Computer Vision and Pattern Recognition · Computer Science 2021-10-19 Anchit Gupta , Faizan Farooq Khan , Rudrabha Mukhopadhyay , Vinay P. Namboodiri , C. V. Jawahar

With the booming of virtual reality (VR) technology, there is a growing need for customized 3D avatars. However, traditional methods for 3D avatar modeling are either time-consuming or fail to retain similarity to the person being modeled.…

Computer Vision and Pattern Recognition · Computer Science 2023-07-06 Chuanyu Pan , Guowei Yang , Taijiang Mu , Yu-Kun Lai

We present VideoReTalking, a new system to edit the faces of a real-world talking head video according to input audio, producing a high-quality and lip-syncing output video even with a different emotion. Our system disentangles this…

Computer Vision and Pattern Recognition · Computer Science 2022-11-29 Kun Cheng , Xiaodong Cun , Yong Zhang , Menghan Xia , Fei Yin , Mingrui Zhu , Xuan Wang , Jue Wang , Nannan Wang

Recent years have witnessed great progress in creating vivid audio-driven portraits from monocular videos. However, how to seamlessly adapt the created video avatars to other scenarios with different backgrounds and lighting conditions…

Computer Vision and Pattern Recognition · Computer Science 2023-09-06 Haonan Qiu , Zhaoxi Chen , Yuming Jiang , Hang Zhou , Xiangyu Fan , Lei Yang , Wayne Wu , Ziwei Liu

Generating 3D human gestures and speech from a text script is critical for creating realistic talking avatars. One solution is to leverage separate pipelines for text-to-speech (TTS) and speech-to-gesture (STG), but this approach suffers…

Multimedia · Computer Science 2024-09-26 Zixin Guo , Jian Zhang

Speech-driven three-dimensional (3D) facial animation synthesis aims to build a mapping from one-dimensional (1D) speech signals to time-varying 3D facial motion signals. Current methods still face challenges in maintaining lip-sync…

Computer Vision and Pattern Recognition · Computer Science 2026-04-06 Bin Liu , Zhixiang Xiong , Zhifen He , Bo Li