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While accurate lip synchronization has been achieved for arbitrary-subject audio-driven talking face generation, the problem of how to efficiently drive the head pose remains. Previous methods rely on pre-estimated structural information…

Computer Vision and Pattern Recognition · Computer Science 2021-04-23 Hang Zhou , Yasheng Sun , Wayne Wu , Chen Change Loy , Xiaogang Wang , Ziwei Liu

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

Vivid talking face generation holds immense potential applications across diverse multimedia domains, such as film and game production. While existing methods accurately synchronize lip movements with input audio, they typically ignore…

Computer Vision and Pattern Recognition · Computer Science 2024-06-13 Jiadong Liang , Feng Lu

Recent advances in talking face generation have significantly improved facial animation synthesis. However, existing approaches face fundamental limitations: 3DMM-based methods maintain temporal consistency but lack fine-grained regional…

Computer Vision and Pattern Recognition · Computer Science 2025-03-26 Kangwei Liu , Junwu Liu , Yun Cao , Jinlin Guo , Xiaowei Yi

Multimodal-driven talking face generation refers to animating a portrait with the given pose, expression, and gaze transferred from the driving image and video, or estimated from the text and audio. However, existing methods ignore the…

Computer Vision and Pattern Recognition · Computer Science 2023-05-10 Chao Xu , Shaoting Zhu , Junwei Zhu , Tianxin Huang , Jiangning Zhang , Ying Tai , Yong Liu

While recent research has made significant progress in speech-driven talking face generation, the quality of the generated video still lags behind that of real recordings. One reason for this is the use of handcrafted intermediate…

Computer Vision and Pattern Recognition · Computer Science 2025-04-08 Chenpeng Du , Qi Chen , Tianyu He , Xu Tan , Xie Chen , Kai Yu , Sheng Zhao , Jiang Bian

Dynamic NeRFs have recently garnered growing attention for 3D talking portrait synthesis. Despite advances in rendering speed and visual quality, challenges persist in enhancing efficiency and effectiveness. We present R2-Talker, an…

Computer Vision and Pattern Recognition · Computer Science 2023-12-12 Zhiling Ye , LiangGuo Zhang , Dingheng Zeng , Quan Lu , Ning Jiang

In recent years, the talking head generation has become a focal point for researchers. Considerable effort is being made to refine lip-sync motion, capture expressive facial expressions, generate natural head poses, and achieve high-quality…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Farzaneh Jafari , Stefano Berretti , Anup Basu

Audio-Driven Talking Face Generation aims at generating realistic videos of talking faces, focusing on accurate audio-lip synchronization without deteriorating any identity-related visual details. Recent state-of-the-art methods are based…

Computer Vision and Pattern Recognition · Computer Science 2025-07-29 Dogucan Yaman , Fevziye Irem Eyiokur , Leonard Bärmann , Hazım Kemal Ekenel , Alexander Waibel

Controllable speech synthesis aims to control the style of generated speech using reference input, which can be of various modalities. Existing face-based methods struggle with robustness and generalization due to data quality constraints,…

Sound · Computer Science 2025-06-27 Rui Niu , Weihao Wu , Jie Chen , Long Ma , Zhiyong Wu

Automatically generating videos in which synthesized speech is synchronized with lip movements in a talking head has great potential in many human-computer interaction scenarios. In this paper, we present an automatic method to generate…

Computer Vision and Pattern Recognition · Computer Science 2021-08-29 Xinsheng Wang , Qicong Xie , Jihua Zhu , Lei Xie , Scharenborg

Speech-driven 3D facial animation is challenging due to the complex geometry of human faces and the limited availability of 3D audio-visual data. Prior works typically focus on learning phoneme-level features of short audio windows with…

Computer Vision and Pattern Recognition · Computer Science 2022-03-18 Yingruo Fan , Zhaojiang Lin , Jun Saito , Wenping Wang , Taku Komura

The challenge of talking face generation from speech lies in aligning two different modal information, audio and video, such that the mouth region corresponds to input audio. Previous methods either exploit audio-visual representation…

Computer Vision and Pattern Recognition · Computer Science 2022-11-04 Se Jin Park , Minsu Kim , Joanna Hong , Jeongsoo Choi , Yong Man Ro

We propose the first approach to automatically and jointly synthesize both the synchronous 3D conversational body and hand gestures, as well as 3D face and head animations, of a virtual character from speech input. Our algorithm uses a CNN…

Computer Vision and Pattern Recognition · Computer Science 2021-02-16 Ikhsanul Habibie , Weipeng Xu , Dushyant Mehta , Lingjie Liu , Hans-Peter Seidel , Gerard Pons-Moll , Mohamed Elgharib , Christian Theobalt

Talking head generation is a significant research topic that still faces numerous challenges. Previous works often adopt generative adversarial networks or regression models, which are plagued by generation quality and average facial shape…

Computer Vision and Pattern Recognition · Computer Science 2024-08-20 Ziyu Yao , Xuxin Cheng , Zhiqi Huang

To be widely adopted, 3D facial avatars must be animated easily, realistically, and directly from speech signals. While the best recent methods generate 3D animations that are synchronized with the input audio, they largely ignore the…

Computer Vision and Pattern Recognition · Computer Science 2023-09-27 Radek Daněček , Kiran Chhatre , Shashank Tripathi , Yandong Wen , Michael J. Black , Timo Bolkart

Recent advancements in audio-driven talking face generation have made great progress in lip synchronization. However, current methods often lack sufficient control over facial animation such as speaking style and emotional expression,…

Computer Vision and Pattern Recognition · Computer Science 2025-03-21 Baiqin Wang , Xiangyu Zhu , Fan Shen , Hao Xu , Zhen Lei

Audio-driven 3D face animation is increasingly vital in live streaming and augmented reality applications. While remarkable progress has been observed, most existing approaches are designed for specific individuals with predefined speaking…

Graphics · Computer Science 2024-08-20 Xukun Zhou , Fengxin Li , Ziqiao Peng , Kejian Wu , Jun He , Biao Qin , Zhaoxin Fan , Hongyan Liu

Talking head synthesis is a promising approach for the video production industry. Recently, a lot of effort has been devoted in this research area to improve the generation quality or enhance the model generalization. However, there are few…

Computer Vision and Pattern Recognition · Computer Science 2023-04-21 Shuai Shen , Wenliang Zhao , Zibin Meng , Wanhua Li , Zheng Zhu , Jie Zhou , Jiwen Lu

Although significant progress has been made in the field of speech-driven 3D facial animation recently, the speech-driven animation of an indispensable facial component, eye gaze, has been overlooked by recent research. This is primarily…

Computer Vision and Pattern Recognition · Computer Science 2026-01-06 Yixiang Zhuang , Chunshan Ma , Yao Cheng , Xuan Cheng , Jing Liao , Juncong Lin