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Related papers: Automatic Face Reenactment

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Almost all advanced face swapping approaches use reconstruction as the proxy task, i.e., supervision only exists when the target and source belong to the same person. Otherwise, lacking pixel-level supervision, these methods struggle for…

Computer Vision and Pattern Recognition · Computer Science 2023-06-09 Ge Yuan , Maomao Li , Yong Zhang , Huicheng Zheng

In this paper, we propose a neural end-to-end system for voice preserving, lip-synchronous translation of videos. The system is designed to combine multiple component models and produces a video of the original speaker speaking in the…

The objective of this paper is a neural network model that controls the pose and expression of a given face, using another face or modality (e.g. audio). This model can then be used for lightweight, sophisticated video and image editing. We…

Computer Vision and Pattern Recognition · Computer Science 2018-07-30 Olivia Wiles , A. Sophia Koepke , Andrew Zisserman

We present a novel system for real-time tracking of facial expressions using egocentric views captured from a set of infrared cameras embedded in a virtual reality (VR) headset. Our technology facilitates any user to accurately drive the…

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

We present PEGASUS, a method for constructing a personalized generative 3D face avatar from monocular video sources. Our generative 3D avatar enables disentangled controls to selectively alter the facial attributes (e.g., hair or nose)…

Computer Vision and Pattern Recognition · Computer Science 2024-04-03 Hyunsoo Cha , Byungjun Kim , Hanbyul Joo

Recently, 2D speaking avatars have increasingly participated in everyday scenarios due to the fast development of facial animation techniques. However, most existing works neglect the explicit control of human bodies. In this paper, we…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Jiazhi Guan , Quanwei Yang , Kaisiyuan Wang , Hang Zhou , Shengyi He , Zhiliang Xu , Haocheng Feng , Errui Ding , Jingdong Wang , Hongtao Xie , Youjian Zhao , Ziwei Liu

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

Face anti-spoofing is crucial for the security of face recognition systems. Learning based methods especially deep learning based methods need large-scale training samples to reduce overfitting. However, acquiring spoof data is very…

Computer Vision and Pattern Recognition · Computer Science 2021-02-11 Jianzhu Guo , Xiangyu Zhu , Jinchuan Xiao , Zhen Lei , Genxun Wan , Stan Z. Li

We develop a new algorithm to perform facial reconstruction from a given skull. This technique has forensic application in helping the identification of skeletal remains when other information is unavailable. Unlike most existing strategies…

Graphics · Computer Science 2018-10-02 Celong Liu , Xin Li

Although deep learning approaches have achieved performance surpassing humans for still image-based face recognition, unconstrained video-based face recognition is still a challenging task due to large volume of data to be processed and…

Computer Vision and Pattern Recognition · Computer Science 2019-08-13 Jingxiao Zheng , Rajeev Ranjan , Ching-Hui Chen , Jun-Cheng Chen , Carlos D. Castillo , Rama Chellappa

Face reenactment is a challenging task, as it is difficult to maintain accurate expression, pose and identity simultaneously. Most existing methods directly apply driving facial landmarks to reenact source faces and ignore the intrinsic gap…

Computer Vision and Pattern Recognition · Computer Science 2021-04-08 Jin Liu , Peng Chen , Tao Liang , Zhaoxing Li , Cai Yu , Shuqiao Zou , Jiao Dai , Jizhong Han

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

Face aging is the process of converting an individual's appearance to a younger or older version of themselves. Existing face aging techniques have been limited to 2D settings, which often weaken their applications as there is a growing…

Computer Vision and Pattern Recognition · Computer Science 2024-08-29 Junaid Wahid , Fangneng Zhan , Pramod Rao , Christian Theobalt

Talking face generation aims to synthesize a sequence of face images that correspond to a clip of speech. This is a challenging task because face appearance variation and semantics of speech are coupled together in the subtle movements of…

Computer Vision and Pattern Recognition · Computer Science 2019-04-24 Hang Zhou , Yu Liu , Ziwei Liu , Ping Luo , Xiaogang Wang

Facial appearance editing is crucial for digital avatars, AR/VR, and personalized content creation, driving realistic user experiences. However, preserving identity with generative models is challenging, especially in scenarios with limited…

Computer Vision and Pattern Recognition · Computer Science 2025-03-10 MD Wahiduzzaman Khan , Mingshan Jia , Xiaolin Zhang , En Yu , Caifeng Shan , Kaska Musial-Gabrys

Animating virtual characters has always been a fundamental research problem in virtual reality (VR). Facial animations play a crucial role as they effectively convey emotions and attitudes of virtual humans. However, creating such facial…

Human-Computer Interaction · Computer Science 2024-02-22 Zechen Bai , Peng Chen , Xiaolan Peng , Lu Liu , Hui Chen , Mike Zheng Shou , Feng Tian

While the problem of estimating shapes and diffuse reflectances of human faces from images has been extensively studied, there is relatively less work done on recovering the specular albedo. This paper presents a lightweight solution for…

Computer Vision and Pattern Recognition · Computer Science 2019-11-28 Guoxian Song , Jianmin Zheng , Jianfei Cai , Tat-Jen Cham

We present a novel volumetric animation generation framework to create new types of animations from raw 3D surface or point cloud sequence of captured real performances. The framework considers as input time incoherent 3D observations of a…

Graphics · Computer Science 2016-01-14 Benjamin Allain , Li Wang , Jean-Sebastien Franco , Franck Hetroy , Edmond Boyer

Despite the remarkable process of talking-head-based avatar-creating solutions, directly generating anchor-style videos with full-body motions remains challenging. In this study, we propose Make-Your-Anchor, a novel system necessitating…

Computer Vision and Pattern Recognition · Computer Science 2024-03-26 Ziyao Huang , Fan Tang , Yong Zhang , Xiaodong Cun , Juan Cao , Jintao Li , Tong-Yee Lee
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