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Current audio-driven facial animation methods achieve impressive results for short videos but suffer from error accumulation and identity drift when extended to longer durations. Existing methods attempt to mitigate this through external…

Achieving disentangled control over multiple facial motions and accommodating diverse input modalities greatly enhances the application and entertainment of the talking head generation. This necessitates a deep exploration of the decoupling…

Computer Vision and Pattern Recognition · Computer Science 2025-08-20 Shuai Tan , Bin Ji

Recently, talking-face video generation has received considerable attention. So far most methods generate results with neutral expressions or expressions that are implicitly determined by neural networks in an uncontrollable way. In this…

Computer Vision and Pattern Recognition · Computer Science 2022-04-14 Zipeng Ye , Zhiyao Sun , Yu-Hui Wen , Yanan Sun , Tian Lv , Ran Yi , Yong-Jin Liu

We present READ Avatars, a 3D-based approach for generating 2D avatars that are driven by audio input with direct and granular control over the emotion. Previous methods are unable to achieve realistic animation due to the many-to-many…

Computer Vision and Pattern Recognition · Computer Science 2023-03-02 Jack Saunders , Vinay Namboodiri

We propose a two-stage framework for audio-driven talking head generation with fine-grained expression control via facial Action Units (AUs). Unlike prior methods relying on emotion labels or implicit AU conditioning, our model explicitly…

Computer Vision and Pattern Recognition · Computer Science 2025-09-25 Shao-Yu Chang , Jingyi Xu , Hieu Le , Dimitris Samaras

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

Talking-head video editing aims to efficiently insert, delete, and substitute the word of a pre-recorded video through a text transcript editor. The key challenge for this task is obtaining an editing model that generates new talking-head…

Multimedia · Computer Science 2023-09-21 Songlin Yang , Wei Wang , Jun Ling , Bo Peng , Xu Tan , Jing Dong

Animating still face images with deep generative models using a speech input signal is an active research topic and has seen important recent progress.However, much of the effort has been put into lip syncing and rendering quality while the…

Graphics · Computer Science 2024-12-13 Louis Airale , Dominique Vaufreydaz , Xavier Alameda-Pineda

Speech-driven 3D facial animation seeks to produce lifelike facial expressions that are synchronized with the speech content and its emotional nuances, finding applications in various multimedia fields. However, previous methods often…

Computer Vision and Pattern Recognition · Computer Science 2025-03-17 Yixuan Zhang , Qing Chang , Yuxi Wang , Guang Chen , Zhaoxiang Zhang , Junran Peng

Visual emotion expression plays an important role in audiovisual speech communication. In this work, we propose a novel approach to rendering visual emotion expression in speech-driven talking face generation. Specifically, we design an…

Audio and Speech Processing · Electrical Eng. & Systems 2021-07-23 Sefik Emre Eskimez , You Zhang , Zhiyao Duan

Speech-driven 3D facial animation has advanced rapidly, yet most approaches remain tied to registered template meshes, preventing effective deployment on raw 3D scans with arbitrary topology. At the same time, modeling controllable…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Federico Nocentini , Thomas Besnier , Claudio Ferrari , Stefano Berretti , Mohamed Daoudi

In filmmaking, directors typically allow actors to perform freely based on the script before providing specific guidance on how to present key actions. AI-generated content faces similar requirements, where users not only need automatic…

Computer Vision and Pattern Recognition · Computer Science 2025-07-29 Zheng Qin , Ruobing Zheng , Yabing Wang , Tianqi Li , Zixin Zhu , Sanping Zhou , Ming Yang , Le Wang

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

This article describes the development of a platform designed to visualize the 3D motion of the tongue using ultrasound image sequences. An overview of the system design is given and promising results are presented. Compared to the analysis…

Computer Vision and Pattern Recognition · Computer Science 2016-05-20 Kele Xu , Yin Yang , Aurore Jaumard-Hakoun , Clemence Leboullenger , Gerard Dreyfus , Pierre Roussel , Maureen Stone , Bruce Denby

Audio-driven talking head generation is a core component of digital avatars, and 3D Gaussian Splatting has shown strong performance in real-time rendering of high-fidelity talking heads. However, achieving precise control over fine-grained…

Computer Vision and Pattern Recognition · Computer Science 2026-02-11 Shaoyang Xie , Xiaofeng Cong , Baosheng Yu , Zhipeng Gui , Jie Gui , Yuan Yan Tang , James Tin-Yau Kwok

The generation of stylistic 3D facial animations driven by speech presents a significant challenge as it requires learning a many-to-many mapping between speech, style, and the corresponding natural facial motion. However, existing methods…

Computer Vision and Pattern Recognition · Computer Science 2024-05-15 Zhiyao Sun , Tian Lv , Sheng Ye , Matthieu Lin , Jenny Sheng , Yu-Hui Wen , Minjing Yu , Yong-Jin Liu

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 introduce an innovative task focused on human communication, aiming to generate 3D holistic human motions for both speakers and listeners. Central to our approach is the incorporation of factorization to decouple audio…

Computer Vision and Pattern Recognition · Computer Science 2024-03-29 Mingze Sun , Chao Xu , Xinyu Jiang , Yang Liu , Baigui Sun , Ruqi Huang

This paper proposes a talking face generation method named "CP-EB" that takes an audio signal as input and a person image as reference, to synthesize a photo-realistic people talking video with head poses controlled by a short video clip…

Computer Vision and Pattern Recognition · Computer Science 2023-11-16 Jianzong Wang , Yimin Deng , Ziqi Liang , Xulong Zhang , Ning Cheng , Jing Xiao

Audio-Driven Face Animation is an eagerly anticipated technique for applications such as VR/AR, games, and movie making. With the rapid development of 3D engines, there is an increasing demand for driving 3D faces with audio. However,…

Computer Vision and Pattern Recognition · Computer Science 2023-12-14 Haozhe Wu , Jia Jia , Junliang Xing , Hongwei Xu , Xiangyuan Wang , Jelo Wang