| A Unified Framework for High Fidelity Face Swap and Expression Reenactment | |
Peng, Bo1,2 ; Fan, Hongxing1; Wang, Wei1; Dong, Jing1; Lyu, Siwei3
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| Source Publication | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
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| ISSN | 1051-8215 |
| 2022-06-01 | |
| Volume | 32Issue:6Pages:3673-3684 |
| Corresponding Author | Dong, Jing(jdong@nlpr.ia.ac.cn) |
| Abstract | Face manipulation techniques improve fast with the development of powerful image generation models. Two particular face manipulation methods, namely face swap and expression reenactment attract much attention for their flexibility and ease to generate high quality synthesis results. Recently, these two subjects are actively studied. However, most existing methods treat the two tasks separately, ignoring their underlying similarity. In this paper, we propose to tackle the two problems within a unified framework that achieves high quality synthesis results. The enabling component for our unified framework is the clean disentanglement of 3D pose, shape, and expression factors and then recombining them for different tasks accordingly. We then use the same set of 2D representations for face swap and expression reenactment tasks that are input to a common image translation model to directly generate the final synthetic images. Once trained, the proposed model can accomplish both face swap and expression reenactment tasks for previously unseen subjects. Comprehensive experiments and comparisons show that the proposed method achieves high fidelity results in multiple aspects, and it is especially good at faithfully preserving source facial shape in the face swap task, and accurately transferring facial movements in the expression reenactment task. |
| Keyword | Faces Task analysis Videos Shape Three-dimensional displays Face recognition Information integrity Face swap expression reenactment 3DMM video manipulation |
| DOI | 10.1109/TCSVT.2021.3106047 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China (NSFC)[61902400] ; National Natural Science Foundation of China (NSFC)[U19B2038] ; National Natural Science Foundation of China (NSFC)[61972395] ; National Natural Science Foundation of China (NSFC)[61772529] ; National Natural Science Foundation of China (NSFC)[62076240] ; Beijing Natural Science Foundation[4192058] |
| Funding Organization | National Natural Science Foundation of China (NSFC) ; Beijing Natural Science Foundation |
| WOS Research Area | Engineering |
| WOS Subject | Engineering, Electrical & Electronic |
| WOS ID | WOS:000805833400031 |
| Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/49585 |
| Collection | 智能感知与计算 |
| Corresponding Author | Dong, Jing |
| Affiliation | 1.Chinese Acad Sci, Inst Automat, Ctr Res Intelligent Percept & Comp CRIPAC, Natl Lab Pattern Recognit NLPR, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Informat Engn, State Key Lab Informat Secur, Beijing 100093, Peoples R China 3.Univ Buffalo State Univ New York Buffalo, Sch Engn & Appl Sci, Buffalo, NY 14260 USA |
| First Author Affilication | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| Corresponding Author Affilication | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| Recommended Citation GB/T 7714 | Peng, Bo,Fan, Hongxing,Wang, Wei,et al. A Unified Framework for High Fidelity Face Swap and Expression Reenactment[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2022,32(6):3673-3684. |
| APA | Peng, Bo,Fan, Hongxing,Wang, Wei,Dong, Jing,&Lyu, Siwei.(2022).A Unified Framework for High Fidelity Face Swap and Expression Reenactment.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,32(6),3673-3684. |
| MLA | Peng, Bo,et al."A Unified Framework for High Fidelity Face Swap and Expression Reenactment".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 32.6(2022):3673-3684. |
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