Lin, Y.[Yuan],
Wang, S.J.[Sheng-Jin],
Pose-Free Face Swapping Based on a Deformable 3D Shape Morphable Model,
IEICE(E97-D), No. 2, February 2013, pp. 305-314.
WWW Link.
1402
Replace face in image, use pose free model.
BibRef
Mirsky, Y.[Yisroel],
Lee, W.[Wenke],
The Creation and Detection of Deepfakes: A Survey,
Surveys(54), No. 1, January 2021, pp. xx-yy.
DOI Link
2104
Survey, Deepfakes. impersonation, generative AI, social engineering, face swap,
replacement, deep fake, Deepfake, reenactment
BibRef
Li, H.L.[Hong-Lei],
Wang, W.[Wenmin],
Yu, C.[Cheng],
Zhang, S.X.[Shi-Xiong],
SwapInpaint: Identity-Specific Face Inpainting With Identity Swapping,
CirSysVideo(32), No. 7, July 2022, pp. 4271-4281.
IEEE DOI
2207
Faces, Face recognition, Task analysis, Training, Codes, Semantics,
Predictive models, Identity-specific inpainting,
face swapping
BibRef
Zhang, L.H.[Long-Hao],
Yang, H.H.[Hui-Hua],
Qiu, T.[Tian],
Li, L.Q.[Ling-Qiao],
AP-GAN: Improving Attribute Preservation in Video Face Swapping,
CirSysVideo(32), No. 4, April 2022, pp. 2226-2237.
IEEE DOI
2204
Faces, Face recognition, Facial features,
Generative adversarial networks, Lighting, Generators, Skin,
perceptual loss
BibRef
Ding, F.[Feng],
Zhu, G.P.[Guo-Pu],
Li, Y.C.[Ying-Can],
Zhang, X.P.[Xin-Peng],
Atrey, P.K.[Pradeep K.],
Lyu, S.W.[Si-Wei],
Anti-Forensics for Face Swapping Videos via Adversarial Training,
MultMed(24), 2022, pp. 3429-3441.
IEEE DOI
2207
Videos, Information integrity, Faces, Forensics, Detectors,
Visualization, Tools, Digital forensics, anti-forensics, DeepFake,
generative adversarial network
BibRef
Nirkin, Y.[Yuval],
Wolf, L.B.[Lior B.],
Keller, Y.[Yosi],
Hassner, T.[Tal],
DeepFake Detection Based on Discrepancies Between Faces and Their
Context,
PAMI(44), No. 10, October 2022, pp. 6111-6121.
IEEE DOI
2209
Faces, Videos, Information integrity, Benchmark testing, Training,
Neck, Hair, Image forensics, deep learning, deep fake, face swapping,
fake image detection
BibRef
Liu, K.[Kunlin],
Perov, I.[Ivan],
Gao, D.H.[Dai-Heng],
Chervoniy, N.[Nikolay],
Zhou, W.[Wenbo],
Zhang, W.M.[Wei-Ming],
Deepfacelab: Integrated, flexible and extensible face-swapping
framework,
PR(141), 2023, pp. 109628.
Elsevier DOI
2306
Face swapping, Practical machine learning, Open source
BibRef
Fu, Z.X.[Zhi-Xiao],
Chen, X.Y.[Xin-Yuan],
Liu, D.[Daizong],
Qu, X.Y.[Xiao-Ye],
Dong, J.F.[Jian-Feng],
Zhang, X.H.[Xu-Hong],
Ji, S.[Shouling],
Multi-level feature disentanglement network for cross-dataset face
forgery detection,
IVC(135), 2023, pp. 104686.
Elsevier DOI
2306
Face forgery detection, Cross-dataset evaluation,
Multi-level representation, Feature disentangling, Adversarial learning
BibRef
Cao, W.[Wei],
Wang, T.Y.[Tian-Yi],
Dong, A.[Anming],
Shu, M.[Minglei],
TransFS: Face Swapping Using Transformer,
FG23(1-8)
IEEE DOI
2303
Image resolution, Face recognition, Focusing, Transforms,
Gesture recognition, Transformers, Generators
BibRef
Xu, C.[Chao],
Zhang, J.N.[Jiang-Ning],
Hua, M.[Miao],
He, Q.[Qian],
Yi, Z.L.[Zi-Li],
Liu, Y.[Yong],
Region-Aware Face Swapping,
CVPR22(7622-7631)
IEEE DOI
2210
Face recognition, Semantics, Transformers,
Image and video synthesis and generation, Face and gestures
BibRef
Xu, Z.L.[Zhi-Liang],
Zhou, H.[Hang],
Hong, Z.B.[Zhi-Bin],
Liu, Z.[Ziwei],
Liu, J.M.[Jia-Ming],
Guo, Z.Z.[Zhi-Zhi],
Han, J.Y.[Jun-Yu],
Liu, J.T.[Jing-Tuo],
Ding, E.[Errui],
Wang, J.D.[Jing-Dong],
StyleSwap: Style-Based Generator Empowers Robust Face Swapping,
ECCV22(XIV:661-677).
Springer DOI
2211
BibRef
Xu, Y.Y.[Yang-Yang],
Deng, B.[Bailin],
Wang, J.[Junle],
Jing, Y.Q.[Yan-Qing],
Pan, J.[Jia],
He, S.F.[Sheng-Feng],
High-resolution Face Swapping via Latent Semantics Disentanglement,
CVPR22(7632-7641)
IEEE DOI
2210
Codes, Face recognition, Semantics, Generators,
Image and video synthesis and generation, Face and gestures, Low-level vision
BibRef
Zhou, Y.B.[Ying-Bin],
Luo, A.[Anwei],
Kang, X.G.[Xian-Gui],
Lyu, S.W.[Si-Wei],
Face Forgery Detection Based on Segmentation Network,
ICIP21(3597-3601)
IEEE DOI
2201
Training, Knowledge engineering, Image processing, Forensics,
Pipelines, Neural networks, Forgery, face swapped images/videos,
frequency clues
BibRef
Tauscher, J.P.[Jan-Philipp],
Castillo, S.[Susana],
Bosse, S.[Sebastian],
Magnor, M.[Marcus],
EEG-Based Analysis of the Impact of Familiarity in the Perception of
Deepfake Videos,
ICIP21(160-164)
IEEE DOI
2201
Visualization, Time-frequency analysis, Face recognition,
Sociology, Observers, Media, Electroencephalography, EEG, perception,
face swap
BibRef
Yang, S.H.[Shu-Hui],
Xue, H.[Han],
Ling, J.[Jun],
Song, L.[Li],
Xie, R.[Rong],
Deep Face Swapping via Cross-identity Adversarial Training,
MMMod21(II:74-86).
Springer DOI
2106
BibRef
Zhu, Y.H.[Yu-Hao],
Li, Q.[Qi],
Wang, J.[Jian],
Xu, C.Z.[Cheng-Zhong],
Sun, Z.A.[Zhen-An],
One Shot Face Swapping on Megapixels,
CVPR21(4832-4842)
IEEE DOI
2111
Training, Image resolution, Databases, Face recognition,
Memory management, Graphics processing units, Trajectory
BibRef
Ngô, L.M.[Lê Minh],
aan de Wiel, C.[Christian],
Karaoglu, S.[Sezer],
Gevers, T.[Theo],
Unified Application of Style Transfer for Face Swapping and Reenactment,
ACCV20(V:241-257).
Springer DOI
2103
BibRef
Natsume, R.[Ryota],
Yatagawa, T.[Tatsuya],
Morishima, S.[Shigeo],
FSNet: An Identity-Aware Generative Model for Image-Based Face Swapping,
ACCV18(VI:117-132).
Springer DOI
1906
BibRef
Bailer, W.[Werner],
Face Swapping for Solving Collateral Privacy Issues in Multimedia
Analytics,
MMMod19(I:169-177).
Springer DOI
1901
BibRef
Nirkin, Y.,
Masi, I.,
Tran, A.T.[Anh Tuan],
Hassner, T.[Tal],
Medioni, G.,
On Face Segmentation, Face Swapping, and Face Perception,
FG18(98-105)
IEEE DOI
1806
Face, Face recognition, Image segmentation, Object segmentation,
Shape, Videos, Face swapping, face segmentation
BibRef
Tasli, H.E.,
den Uyl, T.M.,
Boujut, H.,
Zaharia, T.,
Real-time facial character animation,
FG15(1-1)
IEEE DOI
1508
avatars
BibRef
den Uyl, T.M.,
Tasli, H.E.,
Ivan, P.,
Snijdewind, M.,
Who do you want to be? Real-time face swap,
FG15(1-1)
IEEE DOI
1508
data visualisation
BibRef
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Emotions in Face Animation, Video Face Synthesis .