11.14.4.3.1 Face Synthesis, GAN, Generative Adversarial Network

Chapter Contents (Back)
GAN. Generative Adversarial Network. Face Synthesis. See also Face Hallucination for Recognition Using Three-Dimensional Models. See also Adversarial Networks, Adversarial Inputs, Generative Adversarial.

Huang, B.[Bin], Chen, W.H.[Wei-Hai], Wu, X.M.[Xing-Ming], Lin, C.L.[Chun-Liang], Suganthan, P.N.[Ponnuthurai Nagaratnam],
High-quality face image generated with conditional boundary equilibrium generative adversarial networks,
PRL(111), 2018, pp. 72-79.
Elsevier DOI 1808
Super resolution, Generative Adversarial Network (GAN), Face hallucination, Convolutional Neural Network (CNN) BibRef

Tran, L.[Linh], Kossaifi, J.[Jean], Panagakis, Y.[Yannis], Pantic, M.[Maja],
Disentangling Geometry and Appearance with Regularised Geometry-Aware Generative Adversarial Networks,
IJCV(127), No. 6-7, June 2019, pp. 824-844.
Springer DOI 1906
BibRef
Earlier: A2, A1, A3, A4:
GAGAN: Geometry-Aware Generative Adversarial Networks,
CVPR18(878-887)
IEEE DOI 1812
Shape, Geometry, Generators, Training, Computational modeling, Face BibRef

Wang, Q.A.[Qi-Ang], Fan, H.J.[Hui-Jie], Sun, G.[Gan], Cong, Y.[Yang], Tang, Y.D.[Yan-Dong],
Laplacian pyramid adversarial network for face completion,
PR(88), 2019, pp. 493-505.
Elsevier DOI 1901
Face completion, Generative adversarial network, Laplacian pyramid BibRef

Wang, Q., Fan, H., Zhu, L., Tang, Y.,
Deeply Supervised Face Completion With Multi-Context Generative Adversarial Network,
SPLetters(26), No. 3, March 2019, pp. 400-404.
IEEE DOI 1903
face recognition, feature extraction, image classification, image representation, learning (artificial intelligence), generative adversarial network BibRef

Huang, H.B.[Huai-Bo], He, R.[Ran], Sun, Z.A.[Zhen-An], Tan, T.N.[Tie-Niu],
Wavelet Domain Generative Adversarial Network for Multi-scale Face Hallucination,
IJCV(127), No. 6-7, June 2019, pp. 763-784.
Springer DOI 1906
BibRef

Liu, Y.F.[Yun-Fan], Li, Q.[Qi], Sun, Z.A.[Zhen-An],
Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks,
CVPR19(11869-11878).
IEEE DOI 2002
BibRef

Hu, X.[Xiao], Ma, P.[Peirong], Mai, Z.[Zhuohao], Peng, S.[Shaohu], Yang, Z.[Zhao], Wang, L.[Li],
Face hallucination from low quality images using definition-scalable inference,
PR(94), 2019, pp. 110-121.
Elsevier DOI 1906
SIFT, PCA, Sparse representation, Deep learning, Generative adversarial networks BibRef

He, Z., Zuo, W., Kan, M., Shan, S., Chen, X.,
AttGAN: Facial Attribute Editing by Only Changing What You Want,
IP(28), No. 11, November 2019, pp. 5464-5478.
IEEE DOI 1909
Face, Facial features, Task analysis, Decoding, Image reconstruction, Hair, Facial attribute editing, adversarial learning BibRef

Polyak, A., Taigman, Y., Wolf, L.B.[Lior B.],
Unsupervised Generation of Free-Form and Parameterized Avatars,
PAMI(42), No. 2, February 2020, pp. 444-459.
IEEE DOI 2001
BibRef
Earlier: A3, A2, A1:
Unsupervised Creation of Parameterized Avatars,
ICCV17(1539-1547)
IEEE DOI 1802
Training, Avatars, Generative adversarial networks, Engines, Face, tied output synthesis. image matching, unsupervised learning, GAN, cross domain transfer, generalization bound, BibRef

Zhang, Z.X.[Zhi-Xin], Pan, X.H.[Xu-Hua], Jiang, S.H.[Shu-Hao], Zhao, P.J.[Pei-Jun],
High-quality face image generation based on generative adversarial networks,
JVCIR(71), 2020, pp. 102719.
Elsevier DOI 2009
Face image generation, GAN, High-quality images BibRef

Baek, K.[Kyungjune], Bang, D.[Duhyeon], Shim, H.J.[Hyun-Jung],
GridMix: Strong regularization through local context mapping,
PR(109), 2021, pp. 107594.
Elsevier DOI 2009
BibRef
And:
Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously,
ACCV18(I:39-55).
Springer DOI 1906
Deep learning, Network regularization, Data augmentation BibRef

Bang, D.[Duhyeon], Kang, S.[Seoungyoon], Shim, H.J.[Hyun-Jung],
Discriminator Feature-Based Inference by Recycling the Discriminator of GANs,
IJCV(128), No. 10-11, November 2020, pp. 2436-2458.
Springer DOI 2009
BibRef


Theagarajan, R.[Rajkumar], Bhanu, B.[Bir],
Defending Black Box Facial Recognition Classifiers Against Adversarial Attacks,
Biometrics20(3537-3547)
IEEE DOI 2008
Bayes methods, Perturbation methods, Face, Face recognition, Machine learning, Training BibRef

Theagarajan, R.[Rajkumar], Chen, M.[Ming], Bhanu, B.[Bir], Zhang, J.[Jing],
ShieldNets: Defending Against Adversarial Attacks Using Probabilistic Adversarial Robustness,
CVPR19(6981-6989).
IEEE DOI 2002
BibRef

Alharbi, Y.[Yazeed], Wonka, P.[Peter],
Disentangled Image Generation Through Structured Noise Injection,
CVPR20(5133-5141)
IEEE DOI 2008
Tensile stress, Face, Automobiles, Computer architecture, Loss measurement, Image generation BibRef

Pidhorskyi, S., Adjeroh, D.A., Doretto, G.,
Adversarial Latent Autoencoders,
CVPR20(14092-14101)
IEEE DOI 2008
Generators, Generative adversarial networks, Face, Computer architecture, Training, Image resolution BibRef

Tewari, A., Elgharib, M., Bharaj, G., Bernard, F., Seidel, H., Pérez, P., Zollhöfer, M., Theobalt, C.,
StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images,
CVPR20(6141-6150)
IEEE DOI 2008
Face, Semantics, Training, Image reconstruction, Lighting BibRef

Yang, C., Lim, S.,
One-Shot Domain Adaptation for Face Generation,
CVPR20(5920-5929)
IEEE DOI 2008
Face, Manifolds, Adaptation models, Training, Probabilistic logic, Optimization BibRef

Maximov, M., Elezi, I., Leal-Taixé, L.,
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks,
CVPR20(5446-5455)
IEEE DOI 2008
Face, Generators, Computer vision, Task analysis, Generative adversarial networks, Data privacy BibRef

Dorta, G., Vicente, S., Campbell, N.D.F., Simpson, I.J.A.,
The GAN That Warped: Semantic Attribute Editing With Unpaired Data,
CVPR20(5355-5364)
IEEE DOI 2008
Image resolution, Semantics, Face, Generators, Generative adversarial networks, Transforms BibRef

Wu, R., Zhang, G., Lu, S., Chen, T.,
Cascade EF-GAN: Progressive Facial Expression Editing With Local Focuses,
CVPR20(5020-5029)
IEEE DOI 2008
Mouth, Nose, Task analysis, Robustness, Face, Genetic expression BibRef

Collins, E., Bala, R., Price, B., Süsstrunk, S.,
Editing in Style: Uncovering the Local Semantics of GANs,
CVPR20(5770-5779)
IEEE DOI 2008
Semantics, Generators, Mouth, Tensile stress, Interpolation, Nose BibRef

Shen, Y., Gu, J., Tang, X., Zhou, B.,
Interpreting the Latent Space of GANs for Semantic Face Editing,
CVPR20(9240-9249)
IEEE DOI 2008
Semantics, Face, Generative adversarial networks, Aerospace electronics, Generators, Image generation BibRef

Ge, Z., Chen, F., Du, S., Yu, Y., Zhou, Y.,
Learn a Global Appearance Semi-Supervisedly for Synthesizing Person Images,
WACV20(1179-1188)
IEEE DOI 2006
Shape, Computational modeling, Solid modeling, Training, Image generation BibRef

Tripathy, S., Kannala, J., Rahtu, E.,
ICface: Interpretable and Controllable Face Reenactment Using GANs,
WACV20(3374-3383)
IEEE DOI 2006
Face, Videos, Animation, Generators, Solid modeling BibRef

Yeh, C., Chen, H., Tsai, S., Wang, S.,
Disrupting Image-Translation-Based DeepFake Algorithms with Adversarial Attacks,
WACVWS20(53-62)
IEEE DOI 2006
Generators, Mathematical model, Hair, Software algorithms, Software, Machine learning BibRef

Mokhayeri, F., Kamali, K., Granger, E.,
Cross-Domain Face Synthesis using a Controllable GAN,
WACV20(241-249)
IEEE DOI 2006
Face, Feature extraction, Generators, Solid modeling, Generative adversarial networks BibRef

Banerjee, S., Scheirer, W.J., Bowyer, K.W., Flynn, P.J.,
On Hallucinating Context and Background Pixels from a Face Mask using Multi-scale GANs,
WACV20(289-298)
IEEE DOI 2006
Face, Training, Context modeling, Image resolution, Data models, Image reconstruction BibRef

Kaur, H., Manduchi, R.,
EyeGAN: Gaze-Preserving, Mask-Mediated Eye Image Synthesis,
WACV20(299-308)
IEEE DOI 2006
Training, Head, Generators, Image segmentation, Labeling, Image generation BibRef

Nirkin, Y., Keller, Y., Hassner, T.,
FSGAN: Subject Agnostic Face Swapping and Reenactment,
ICCV19(7183-7192)
IEEE DOI 2004
face recognition, image colour analysis, image sequences, interpolation, optimisation, recurrent neural nets, Hair BibRef

Gecer, B.[Baris], Ploumpis, S.[Stylianos], Kotsia, I.[Irene], Zafeiriou, S.[Stefanos],
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction,
CVPR19(1155-1164).
IEEE DOI 2002
BibRef

Chao, W., Chang, L., Wang, X., Cheng, J., Deng, X., Duan, F.,
High-Fidelity Face Sketch-To-Photo Synthesis Using Generative Adversarial Network,
ICIP19(4699-4703)
IEEE DOI 1910
Face synthesis, Generative adversarial networks, Data augmentation BibRef

Liu, L., Zhang, L., Chen, J.,
Progressive Pose Normalization Generative Adversarial Network for Frontal Face Synthesis and Face Recognition Under Large Pose,
ICIP19(4434-4438)
IEEE DOI 1910
Frontal face synthesis, Face normalization, GAN, Face recognition BibRef

Li, J.[Jing], Wong, Y.[Yongkang], Sim, T.[Terence],
Learning Controllable Face Generator from Disjoint Datasets,
CAIP19(I:209-223).
Springer DOI 1909
BibRef

Zhong, Y., Deng, W.,
Adversarial Learning With Margin-Based Triplet Embedding Regularization,
ICCV19(6548-6557)
IEEE DOI 2004
face recognition, feature extraction, image classification, image representation, Entropy BibRef

Goetschalckx, L., Andonian, A., Oliva, A., Isola, P.,
GANalyze: Toward Visual Definitions of Cognitive Image Properties,
ICCV19(5743-5752)
IEEE DOI 2004
cognition, data visualisation, image processing, neural nets, cognitive image properties, generative adversarial networks, Face BibRef

Siddiquee, M.M.R., Zhou, Z., Tajbakhsh, N., Feng, R., Gotway, M., Bengio, Y., Liang, J.,
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization,
ICCV19(191-200)
IEEE DOI 2004
Code, Generative Adversarial Networks.
WWW Link. diseases, image classification, learning (artificial intelligence), medical image processing, Face BibRef

Dolhansky, B., Ferrer, C.C.,
Eye In-painting with Exemplar Generative Adversarial Networks,
CVPR18(7902-7911)
IEEE DOI 1812
Face, Generators, Training, Generative adversarial networks, Task analysis, Painting BibRef

Gong, Y., Karanam, S., Wu, Z., Peng, K., Ernst, J., Doerschuk, P.C.,
Learning Compositional Visual Concepts with Mutual Consistency,
CVPR18(8659-8668)
IEEE DOI 1812
Training data, Training, Image generation, Generative adversarial networks, Face, Semantics. BibRef

Li, D., Zhang, M., Chen, W., Feng, G.,
Facial Attribute Editing by Latent Space Adversarial Variational Autoencoders,
ICPR18(1337-1342)
IEEE DOI 1812
Training, Decoding, Image reconstruction, Face, Facial features, Generative adversarial networks BibRef

Ma, R., Hu, H.,
Perceptual Face Completion using a Local-Global Generative Adversarial Network,
ICPR18(1670-1675)
IEEE DOI 1812
Face, Image reconstruction, Training, Feature extraction, Semantics, Task analysis, Generative adversarial networks, completion, perceptual network BibRef

Chen, Y., Lin, H., Shu, M., Li, R., Tao, X., Shen, X., Ye, Y., Jia, J.,
Facelet-Bank for Fast Portrait Manipulation,
CVPR18(3541-3549)
IEEE DOI 1812
Face, Training, Interpolation, Decoding, Generative adversarial networks, Semantics, Transforms BibRef

Ghosh, A., Kulharia, V., Namboodiri, V., Torr, P.H.S., Dokania, P.K.,
Multi-agent Diverse Generative Adversarial Networks,
CVPR18(8513-8521)
IEEE DOI 1812
Generators, Task analysis, Training, Generative adversarial networks, Computer architecture, Face BibRef

Gecer, B.[Baris], Bhattarai, B.[Binod], Kittler, J.V.[Josef V.], Kim, T.K.[Tae-Kyun],
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model,
ECCV18(XI: 230-248).
Springer DOI 1810
BibRef

Cheung, S.S.[S. Samson], Wildfeuer, H., Nikkhah, M., Zhu, X., Tan, W.,
Learning Sensitive Images Using Generative Models,
ICIP18(4128-4132)
IEEE DOI 1809
Training, Face, Generative adversarial networks, Privacy, Data privacy, Machine learning, face processing BibRef

Zhang, Z., Sun, Y., Yu, J.,
A Cross-Layer Based Network for Faster Image Generation,
ICIP18(3903-3907)
IEEE DOI 1809
Generators, Training, Computer architecture, Image generation, Face, Generative adversarial networks, cross-layer connection BibRef

Peleg, I., Wolf, L.B.[Lior B.],
Structured GANs,
WACV18(719-728)
IEEE DOI 1806
image processing, learning (artificial intelligence), neural nets, face image synthesis, Training BibRef

Chai, W., Deng, W., Shen, H.,
Cross-Generating GAN for Facial Identity Preserving,
FG18(130-134)
IEEE DOI 1806
Encoding, Face, Face recognition, Feature extraction, Finite impulse response filters, Lighting, CG GAN, Multi PIE BibRef

Juefei-Xu, F.[Felix], Dey, R.[Rahul], Boddeti, V.N.[Vishnu Naresh], Savvides, M.[Marios],
RankGAN: A Maximum Margin Ranking GAN for Generating Faces,
ACCV18(III:3-18).
Springer DOI 1906
BibRef

Zhang, G.[Gang], Kan, M.[Meina], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Generative Adversarial Network with Spatial Attention for Face Attribute Editing,
ECCV18(VI: 422-437).
Springer DOI 1810
BibRef

Slossberg, R.[Ron], Shamai, G.[Gil], Kimmel, R.[Ron],
High Quality Facial Surface and Texture Synthesis via Generative Adversarial Networks,
DeepLearn-G18(III:498-513).
Springer DOI 1905
BibRef

Wang, Y.[Yaohui], Dantcheva, A.[Antitza], Bremond, F.[Francois],
From Attribute-Labels to Faces: Face Generation Using a Conditional Generative Adversarial Network,
WiCV-E18(IV:692-698).
Springer DOI 1905
BibRef

Bao, J., Chen, D., Wen, F., Li, H., Hua, G.,
Towards Open-Set Identity Preserving Face Synthesis,
CVPR18(6713-6722)
IEEE DOI 1812
Face, Training, Image reconstruction, Lighting, Generative adversarial networks, Image generation BibRef

Shen, Y., Luo, P., Luo, P., Yan, J., Wang, X., Tang, X.,
FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis,
CVPR18(821-830)
IEEE DOI 1812
Face, Feature extraction, Generative adversarial networks, Training, Generators, Data mining BibRef

Lu, Y.Y.[Yong-Yi], Tai, Y.W.[Yu-Wing], Tang, C.K.[Chi-Keung],
Attribute-Guided Face Generation Using Conditional CycleGAN,
ECCV18(XII: 293-308).
Springer DOI 1810
BibRef

Fabbri, M.[Matteo], Borghi, G.[Guido], Lanzi, F.[Fabio], Vezzani, R.[Roberto], Calderara, S.[Simone], Cucchiara, R.[Rita],
Domain Translation with Conditional GANs: from Depth to RGB Face-to-Face,
ICPR18(1355-1360)
IEEE DOI 1812
Task analysis, Generators, Computer architecture, Training, Probes, Sensors BibRef

Xiao, T.[Taihong], Hong, J.P.[Jia-Peng], Ma, J.W.[Jin-Wen],
ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes,
ECCV18(X: 172-187).
Springer DOI 1810
BibRef

Pumarola, A.[Albert], Agudo, A.[Antonio], Martinez, A.M.[Aleix M.], Sanfeliu, A.[Alberto], Moreno-Noguer, F.[Francesc],
GANimation: Anatomically-Aware Facial Animation from a Single Image,
ECCV18(X: 835-851).
Springer DOI 1810
BibRef

Wu, W.[Wayne], Zhang, Y.X.[Yun-Xuan], Li, C.[Cheng], Qian, C.[Chen], Loy, C.C.[Chen Change],
ReenactGAN: Learning to Reenact Faces via Boundary Transfer,
ECCV18(I: 622-638).
Springer DOI 1810
BibRef

Hu, Y., Wu, X., Yu, B., He, R., Sun, Z.,
Pose-Guided Photorealistic Face Rotation,
CVPR18(8398-8406)
IEEE DOI 1812
Face, Generators, Face recognition, Generative adversarial networks, Heating systems, Training BibRef

Gong, N., Yang, Y., Liu, Y., Liu, D.,
Dynamic Facial Expression Synthesis Driven by Deformable Semantic Parts,
ICPR18(2929-2934)
IEEE DOI 1812
Face, Semantics, Generators, Image sequences, Generative adversarial networks, Mouth BibRef

Lee, C., Zhang, K., Lee, H., Cheng, C., Hsu, W.,
Attribute Augmented Convolutional Neural Network for Face Hallucination,
Restoration18(834-8348)
IEEE DOI 1812
Face, Feature extraction, Image resolution, Generators, Facial features, Generative adversarial networks BibRef

Khan, S.H.[Salman H.], Hayat, M.[Munawar], Barnes, N.[Nick],
Adversarial Training of Variational Auto-Encoders for High Fidelity Image Generation,
WACV18(1312-1320)
IEEE DOI 1806
face recognition, image reconstruction, learning (artificial intelligence), VAE, Training BibRef

Bagautdinov, T., Wu, C., Saragih, J., Fua, P., Sheikh, Y.,
Modeling Facial Geometry Using Compositional VAEs,
CVPR18(3877-3886)
IEEE DOI 1812
Face, Geometry, Deformable models, Shape, Data models, Solid modeling BibRef

Bao, J., Chen, D., Wen, F., Li, H., Hua, G.,
CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training,
ICCV17(2764-2773)
IEEE DOI 1802
entropy, face recognition, feature extraction, image classification, image coding, image matching, Training BibRef

Hou, X.X.[Xian-Xu], Shen, L.L.[Lin-Lin], Sun, K.[Ke], Qiu, G.P.[Guo-Ping],
Deep Feature Consistent Variational Autoencoder,
WACV17(1133-1141)
IEEE DOI 1609
Correlation, Decoding, Face, Feature extraction, Image reconstruction, Loss measurement, Training BibRef

Guo, Q., Zhu, C., Xia, Z., Wang, Z., Liu, Y.,
Attribute-controlled face photo synthesis from simple line drawing,
ICIP17(2946-2950)
IEEE DOI 1803
Databases, Face, Image color analysis, Lighting, Mouth, Neural networks, Testing, Photo synthesis, deep generative model, simple line drawing BibRef

Olszewski, K., Li, Z., Yang, C., Zhou, Y., Yu, R., Huang, Z., Xiang, S., Saito, S., Kohli, P., Li, H.,
Realistic Dynamic Facial Textures from a Single Image Using GANs,
ICCV17(5439-5448)
IEEE DOI 1802
computer animation, face recognition, geometry, image colour analysis, image sequences, image texture, Videos BibRef

Huang, Y., Khan, S.M.,
DyadGAN: Generating Facial Expressions in Dyadic Interactions,
DeepAffective17(2259-2266)
IEEE DOI 1709
Avatars, Biological system modeling, Face, Gallium nitride, Generators, Interviews, Shape BibRef

Choe, J., Park, S., Kim, K., Park, J.H., Kim, D., Shim, H.,
Face Generation for Low-Shot Learning Using Generative Adversarial Networks,
Million17(1940-1948)
IEEE DOI 1802
Face, Face recognition, Feature extraction, Gallium nitride, Generators, Image reconstruction, Training BibRef

Zhang, Y., Jia, R., Pei, H., Wang, W., Li, B., Song, D.,
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks,
CVPR20(250-258)
IEEE DOI 2008
Data models, Training data, Image reconstruction, Training, Predictive models, Face, Face recognition BibRef

Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Face Model Generation, Three-Dimensional Models .


Last update:Sep 28, 2020 at 12:04:43