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The ability to edit facial expressions has a wide range of applications in computer graphics. The ideal facial expression editing algorithm needs to satisfy two important criteria. First, it should allow precise and targeted editing of…

Computer Vision and Pattern Recognition · Computer Science 2021-07-28 Alara Zindancıoğlu , T. Metin Sezgin

Emotion recognition from facial videos enables non-contact inference of human emotional states. Although facial expressions are widely used cues, they cannot fully reflect intrinsic affective states. Remote photoplethysmography (rPPG)…

Computer Vision and Pattern Recognition · Computer Science 2026-05-08 Xiwen Luo , Jia Li , Rencheng Song , Yu Liu , Juan Cheng

Current controls over diffusion models (e.g., through text or ControlNet) for image generation fall short in recognizing abstract, continuous attributes like illumination direction or non-rigid shape change. In this paper, we present an…

Computer Vision and Pattern Recognition · Computer Science 2024-02-14 Ta-Ying Cheng , Matheus Gadelha , Thibault Groueix , Matthew Fisher , Radomir Mech , Andrew Markham , Niki Trigoni

Rapid advances in the field of generative AI and text-to-image methods in particular have transformed the way we interact with and perceive computer-generated imagery today. In parallel, much progress has been made in 3D face…

Computer Vision and Pattern Recognition · Computer Science 2024-09-27 Mirela Ostrek , Justus Thies

Speech-driven 3D facial animation has been widely studied, yet there is still a gap to achieving realism and vividness due to the highly ill-posed nature and scarcity of audio-visual data. Existing works typically formulate the cross-modal…

Computer Vision and Pattern Recognition · Computer Science 2023-04-04 Jinbo Xing , Menghan Xia , Yuechen Zhang , Xiaodong Cun , Jue Wang , Tien-Tsin Wong

Nowadays, it is possible to scan faces and automatically register them with high quality. However, the resulting face meshes often need further processing: we need to stabilize them to remove unwanted head movement. Stabilization is…

Computer Vision and Pattern Recognition · Computer Science 2024-11-25 Jan Bednarik , Erroll Wood , Vasileios Choutas , Timo Bolkart , Daoye Wang , Chenglei Wu , Thabo Beeler

The goal of this paper is to synthesise talking faces with controllable facial motions. To achieve this goal, we propose two key ideas. The first is to establish a canonical space where every face has the same motion patterns but different…

Computer Vision and Pattern Recognition · Computer Science 2023-09-19 Youngjoon Jang , Kyeongha Rho , Jong-Bin Woo , Hyeongkeun Lee , Jihwan Park , Youshin Lim , Byeong-Yeol Kim , Joon Son Chung

We present a text-based tool for editing talking-head video that enables an iterative editing workflow. On each iteration users can edit the wording of the speech, further refine mouth motions if necessary to reduce artifacts and manipulate…

Computer Vision and Pattern Recognition · Computer Science 2020-11-24 Xinwei Yao , Ohad Fried , Kayvon Fatahalian , Maneesh Agrawala

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

Enabling digital humans to express rich emotions has significant applications in dialogue systems, gaming, and other interactive scenarios. While recent advances in talking head synthesis have achieved impressive results in lip…

Artificial Intelligence · Computer Science 2025-10-21 Haidong Xu , Meishan Zhang , Hao Ju , Zhedong Zheng , Erik Cambria , Min Zhang , Hao Fei

Emotional talking head synthesis aims to generate talking portrait videos with vivid expressions. Existing methods still exhibit limitations in control flexibility, motion naturalness, and expression quality. Moreover, currently available…

Computer Vision and Pattern Recognition · Computer Science 2025-12-24 Yiguo Jiang , Xiaodong Cun , Yong Zhang , Yudian Zheng , Fan Tang , Chi-Man Pun

Speech-driven 3D talking face method should offer both accurate lip synchronization and controllable expressions. Previous methods solely adopt discrete emotion labels to globally control expressions throughout sequences while limiting…

Computer Vision and Pattern Recognition · Computer Science 2025-03-20 Hejia Chen , Haoxian Zhang , Shoulong Zhang , Xiaoqiang Liu , Sisi Zhuang , Yuan Zhang , Pengfei Wan , Di Zhang , Shuai Li

We propose a method to transfer pose and expression between face images. Given a source and target face portrait, the model produces an output image in which the pose and expression of the source face image are transferred onto the target…

Computer Vision and Pattern Recognition · Computer Science 2025-04-18 Petr Jahoda , Jan Cech

A 3D avatar typically has one of six cardinal facial expressions. To simulate realistic emotional variation, we should be able to render a facial transition between two arbitrary expressions. This study presents a new framework for…

Computer Vision and Pattern Recognition · Computer Science 2026-01-14 Anh H. Vo , Tae-Seok Kim , Hulin Jin , Soo-Mi Choi , Yong-Guk Kim

Recent advances in deep generative models have demonstrated impressive results in photo-realistic facial image synthesis and editing. Facial expressions are inherently the result of muscle movement. However, existing neural network-based…

Computer Vision and Pattern Recognition · Computer Science 2019-11-07 ShahRukh Athar , Zhixin Shu , Dimitris Samaras

Emotional expressions are the behaviors that communicate our emotional state or attitude to others. They are expressed through verbal and non-verbal communication. Complex human behavior can be understood by studying physical features from…

Computer Vision and Pattern Recognition · Computer Science 2021-09-15 Liam Schoneveld , Alice Othmani , Hazem Abdelkawy

When people deliver a speech, they naturally move heads, and this rhythmic head motion conveys prosodic information. However, generating a lip-synced video while moving head naturally is challenging. While remarkably successful, existing…

Computer Vision and Pattern Recognition · Computer Science 2020-07-20 Lele Chen , Guofeng Cui , Celong Liu , Zhong Li , Ziyi Kou , Yi Xu , Chenliang Xu

In recent years, the field of talking faces generation has attracted considerable attention, with certain methods adept at generating virtual faces that convincingly imitate human expressions. However, existing methods face challenges…

Computer Vision and Pattern Recognition · Computer Science 2024-01-17 Bingyuan Zhang , Xulong Zhang , Ning Cheng , Jun Yu , Jing Xiao , Jianzong Wang

Speech-driven 3D facial animation aims at generating facial movements that are synchronized with the driving speech, which has been widely explored recently. Existing works mostly neglect the person-specific talking style in generation,…

Computer Vision and Pattern Recognition · Computer Science 2025-03-05 Liyang Chen , Weihong Bao , Shun Lei , Boshi Tang , Zhiyong Wu , Shiyin Kang , Haozhi Huang , Helen Meng

We propose a method to build in real-time animated 3D head models using a consumer-grade RGB-D camera. Our proposed method is the first one to provide simultaneously comprehensive facial motion tracking and a detailed 3D model of the user's…

Computer Vision and Pattern Recognition · Computer Science 2020-04-23 Diego Thomas