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face animation based on multiple sources and perspective alignment

虚拟现实与智能硬件（中英文） 2024年第3期6卷 252-266页

作者： Yuanzong MEI Wenyi WANG Xi LIU Wei YONG Weijie WU Yifan ZHU Shuai WANG Jianwen CHEN School of Information and Communication Engineering University of Electronic Science and Technology of ChinaChengdu 611731China Yangtze Delta Region Institute(Quzhou) University of Electronic Science and Technology of ChinaQuzhou 324000China

Background face image animation generates a synthetic human face video that harmoniously integrates the identity derived from the source image and facial motion obtained from the driving *** technology could be beneficial in multiple medical fields,such as diagnosis and privacy *** studies on face animation often relied on a single source image to generate an output *** a significant pose difference between the source image and the driving frame,the quality of the generated video is likely to be suboptimal because the source image may not provide sufficient features for the warped feature *** In this study,we propose a novel face-animation scheme based on multiple sources and perspective alignment to address these *** first introduce a multiple-source sampling and selection module to screen the optimal source image set from the provided driving *** then propose an inter-frame interpolation and alignment module to further eliminate the misalignment between the selected source image and the driving *** The proposed method exhibits superior performance in terms of objective metrics and visual quality in large-angle animation scenes compared to other state-of-the-art face animation *** indicates the effectiveness of the proposed method in addressing the distortion issues in large-angle animation.

关键词： face animation Multiple-source driving Generative adversarial network Medical diagnostics

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Personalized Multi-View face animation with Lifelike Textures

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Tsinghua Science and Technology 2007年第1期12卷 51-57页

作者：柳杨华徐光祐 Key Laboratory on Pervasive Computing (Tsinghua University) of the Ministry of Education Department of Computer Science and Technology Tsinghua University

Realistic personalized face animation mainly depends on a picture-perfect appearance and natural head rotation. This paper describes a face model for generation of novel view facial textures with various realistic expressions and poses. The model is achieved from corpora of a talking person using machine learning techniques. In face modeling, the facial texture variation is expressed by a multi-view facial texture space model, with the facial shape variation represented by a compact 3-D point distribution model （PDM）. The facial texture space and the shape space are connected by bridging 2-D mesh structures. Levenberg-Marquardt optimization is employed for fine model fitting. animation trajectory is trained for smooth and continuous image sequences. The test results show that this approach can achieve a vivid talking face sequence in various views. Moreover, the animation complexity is significantly reduced by the vector representation.

关键词： face animation point distribution model (PDM) texture multi-view

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维普期刊数据库

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Ultra-Lightweight face animation Method for Ultra-Low Bitrate Video Conferencing

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ZTE Communications 2023年第1期21卷 64-71页

作者： LU Jianguo ZHENG Qingfang State Key Laboratory of Mobile Network and Mobile Multimedia Technology Shenzhen 518055China ZTE Corporation Shenzhen 518057China

Video conferencing systems face the dilemma between smooth streaming and decent visual quality because traditional video compression algorithms fail to produce bitstreams low enough for bandwidth-constrained *** ultra-lightweight face-animation-based method that enables better video conferencing experience is proposed in this *** proposed method compresses high-quality upperbody videos with ultra-low bitrates and runs efficiently on mobile devices without high-end graphics processing units(GPU).Moreover,a visual quality evaluation algorithm is used to avoid image degradation caused by extreme face poses and/or expressions,and a full resolution image composition algorithm to reduce unnaturalness,which guarantees the user *** show that the proposed method is efficient and can generate high-quality videos at ultra-low bitrates.

关键词： talking heads face animation video conferencing generative adversarial network

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维普期刊数据库

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