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

Wang, Q., Fan, H., Sun, G., Ren, W., Tang, Y.,
Recurrent Generative Adversarial Network for Face Completion,
MultMed(23), 2021, pp. 429-442.
IEEE DOI 2012
Face, Feature extraction, Recurrent neural networks, Generative adversarial networks, Semantics, Image restoration, short link 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.Y.[Seoung-Yoon], 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

Toshpulatov, M.[Mukhiddin], Lee, W.[Wookey], Lee, S.[Suan],
Generative adversarial networks and their application to 3D face generation: A survey,
IVC(108), 2021, pp. 104119.
Elsevier DOI 2104
Survey, Face Synthesis. Survey, GAN. Generative adversarial networks, 3 face generation, Generator, Discriminator, Deep neural network, Deep learning BibRef

Wu, X.T.[Xin-Tian], Zhang, Q.H.[Qi-Hang], Wu, Y.M.[Yi-Ming], Wang, H.Y.[Huan-Yu], Li, S.Y.[Song-Yuan], Sun, L.Y.[Ling-Yun], Li, X.[Xi],
F³A-GAN: Facial Flow for Face Animation With Generative Adversarial Networks,
IP(30), 2021, pp. 8658-8670.
IEEE DOI 2110
Faces, Solid modeling, Animation, Image reconstruction, Shape, Feature extraction, hierarchical conditional framework BibRef

Tang, H.[Hao], Sebe, N.[Nicu],
Total Generate: Cycle in Cycle Generative Adversarial Networks for Generating Human Faces, Hands, Bodies, and Natural Scenes,
MultMed(24), 2022, pp. 2963-2974.
IEEE DOI 2206
Generators, Image synthesis, Task analysis, Generative adversarial networks, Optimization, guided image-to-image translation BibRef

Tan, D.S.[Daniel Stanley], Soeseno, J.H.[Jonathan Hans], Hua, K.L.[Kai-Lung],
Controllable and Identity-Aware Facial Attribute Transformation,
Cyber(52), No. 6, June 2022, pp. 4825-4836.
IEEE DOI 2207
Facial features, Generators, Face recognition, Faces, Hair, Image color analysis, Generative adversarial networks, self-cycle loss BibRef

Gecer, B.[Baris], Ploumpis, S.[Stylianos], Kotsia, I.[Irene], Zafeiriou, S.P.[Stefanos P.],
Fast-GANFIT: Generative Adversarial Network for High Fidelity 3D Face Reconstruction,
PAMI(44), No. 9, September 2022, pp. 4879-4893.
IEEE DOI 2208
BibRef
Earlier:
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction,
CVPR19(1155-1164).
IEEE DOI 2002
Image reconstruction, Shape, Face recognition, Solid modeling, Generative adversarial networks, Cost function, 3D morphable models BibRef

Sun, P.[Pu], Li, Y.Z.[Yue-Zun], Qi, H.G.[Hong-Gang], Lyu, S.W.[Si-Wei],
LandmarkGAN: Synthesizing faces from landmarks,
PRL(161), 2022, pp. 90-98.
Elsevier DOI 2209
Face synthesis, GAN, Face editing BibRef

Kammoun, A.[Amina], Slama, R.[Rim], Tabia, H.[Hedi], Ouni, T.[Tarek], Abid, M.[Mohmed],
Generative Adversarial Networks for Face Generation: A Survey,
Surveys(55), No. 5, May 2023, pp. xx-yy.
DOI Link 2212
generative adversarial networks (GANs), face generation, applications, training, algorithms, loss functions, benchmarks, Survey BibRef

Yu, S.[Shikang], Han, H.[Hu], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
CMOS-GAN: Semi-Supervised Generative Adversarial Model for Cross-Modality Face Image Synthesis,
IP(32), 2023, pp. 144-158.
IEEE DOI 2301
Face recognition, Task analysis, Probes, Image synthesis, Information processing, Computers, Training, generative adversarial networks BibRef

Hu, C.[Chen], Xie, X.H.[Xiang-Hua], Wu, L.[Lin],
Face reenactment via generative landmark guidance,
IVC(130), 2023, pp. 104611.
Elsevier DOI 2301
Face reenactment, GAN, Style transfer, Facial landmarks BibRef

Doukas, M.C.[Michail Christos], Ploumpis, S.[Stylianos], Zafeiriou, S.P.[Stefanos P.],
Dynamic Neural Portraits,
WACV23(4062-4072)
IEEE DOI 2302
Visualization, Computational modeling, Rendering (computer graphics), Cameras, body pose BibRef

Sun, K.Q.[Ke-Qiang], Wu, S.Z.[Shang-Zhe], Zhang, N.[Ning], Huang, Z.Y.[Zhao-Yang], Wang, Q.[Quan], Li, H.S.[Hong-Sheng],
CGOF++: Controllable 3D Face Synthesis With Conditional Generative Occupancy Fields,
PAMI(46), No. 2, February 2024, pp. 913-926.
IEEE DOI 2401
BibRef

Piao, J.T.[Jing-Tan], Sun, K.Q.[Ke-Qiang], Wang, Q.[Quan], Lin, K.Y.[Kwan-Yee], Li, H.S.[Hong-Sheng],
Inverting Generative Adversarial Renderer for Face Reconstruction,
CVPR21(15614-15623)
IEEE DOI 2111
Training, Graphics, Face recognition, Pipelines, Lighting, Reconstruction algorithms BibRef

Peng, C.L.[Chun-Lei], Kong, Z.[Zimo], Liu, D.[Decheng], Wang, N.N.[Nan-Nan], Gao, X.B.[Xin-Bo],
Disguised Heterogeneous Face Generation With Iterative-Adversarial Style Unification,
MultMed(26), 2024, pp. 3741-3753.
IEEE DOI 2402
Face recognition, Databases, Image quality, Training, Task analysis, Feature extraction, Adversarial training, disguised face dataset, style transfer BibRef


Yin, F.[Fei], Zhang, Y.[Yong], Wang, X.[Xuan], Wang, T.F.[Teng-Fei], Li, X.Y.[Xiao-Yu], Gong, Y.[Yuan], Fan, Y.B.[Yan-Bo], Cun, X.D.[Xiao-Dong], Shan, Y.[Ying], Öztireli, C.[Cengiz], Yang, Y.[Yujiu],
3D GAN Inversion with Facial Symmetry Prior,
CVPR23(342-351)
IEEE DOI 2309
BibRef

Kolf, J.N.[Jan Niklas], Rieber, T.[Tim], Elliesen, J.[Jurek], Boutros, F.[Fadi], Kuijper, A.[Arjan], Damer, N.[Naser],
Identity-driven Three-Player Generative Adversarial Network for Synthetic-based Face Recognition,
GCV23(806-816)
IEEE DOI 2309
BibRef

Qiao, X.[Xing], Han, Y.[Yanghong], Wu, Y.[Yan], Zhang, Z.L.[Zi-Li],
Progressive Text-to-Face Synthesis with Generative Adversarial Network,
FG21(1-8)
IEEE DOI 2303
Training, Image resolution, Uncertainty, Face recognition, Generative adversarial networks, Encoding, Safety BibRef

O'Haire, K.[Kelsey], Soleymani, S.[Sobhan], Chaudhary, B.[Baaria], Aghdaie, P.[Poorya], Dawson, J.[Jeremy], Nasrabadi, N.M.[Nasser M.],
Adversarially Perturbed Wavelet-based Morphed Face Generation,
FG21(01-05)
IEEE DOI 2303
Visualization, Wavelet domain, Image synthesis, Face recognition, Perturbation methods, Frequency-domain analysis, Detectors BibRef

Yu, F.[Frank], Fels, S.[Sid], Rhodin, H.[Helge],
Scaling Neural Face Synthesis to High FPS and Low Latency by Neural Caching,
WACV23(3463-3472)
IEEE DOI 2302
Image quality, Teleconferencing, Telepresence, Runtime, Neural networks, Rendering (computer graphics), image and video synthesis BibRef

Taherkhani, F.[Fariborz], Rai, A.[Aashish], Gao, Q.[Quankai], Srivastava, S.[Shaunak], Chen, X.[Xuanbai], de la Torre, F.[Fernando], Song, S.[Steven], Prakash, A.[Aayush], Kim, D.[Daeil],
Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance,
WACV23(826-836)
IEEE DOI 2302
Solid modeling, Gold, Shape, Computational modeling, Rendering (computer graphics), Algorithms: 3D computer vision, body pose BibRef

Shahreza, H.O.[Hatef Otroshi], Marcel, S.[Sébastien],
Blackbox Face Reconstruction from Deep Facial Embeddings Using A Different Face Recognition Model,
ICIP23(2435-2439)
IEEE DOI 2312
BibRef

Shahreza, H.O.[Hatef Otroshi], Hahn, V.K.[Vedrana Krivokuca], Marcel, S.[Sébastien],
Face Reconstruction from Deep Facial Embeddings using a Convolutional Neural Network,
ICIP22(1211-1215)
IEEE DOI 2211
Privacy, Image recognition, Deconvolution, Databases, Convolution, Face recognition, Feature extraction, embedding, template inversion BibRef

Ren, Y.R.[Yu-Rui], Li, G.[Ge], Chen, Y.Q.[Yuan-Qi], Li, T.H.[Thomas H.], Liu, S.[Shan],
PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering,
ICCV21(13739-13748)
IEEE DOI 2203
Industries, Solid modeling, Social networking (online), Semantics, Neural networks, Streaming media, Rendering (computer graphics), Vision+language BibRef

Xu, M.[Munan], Chen, Y.Q.[Yuan-Qi], Liu, S.[Shan], Li, T.H.[Thomas H.], Li, G.[Ge],
Structure-transformed Texture-enhanced Network for Person Image Synthesis,
ICCV21(13839-13848)
IEEE DOI 2203
Correlation, Image synthesis, Convolution, Transforms, Task analysis, Image and video synthesis, Neural generative models BibRef

Xu, Y.Y.[Yang-Yang], Du, Y.[Yong], Xiao, W.P.[Wen-Peng], Xu, X.M.[Xue-Miao], He, S.F.[Sheng-Feng],
From Continuity to Editability: Inverting GANs with Consecutive Images,
ICCV21(13890-13898)
IEEE DOI 2203
Codes, Image resolution, Semantics, Coherence, Image reconstruction, Image and video synthesis, Faces, Image and video manipulation detection and integrity methods. BibRef

Bühler, M.C.[Marcel C.], Meka, A.[Abhimitra], Li, G.[Gengyan], Beeler, T.[Thabo], Hilliges, O.[Otmar],
VariTex: Variational Neural Face Textures,
ICCV21(13870-13879)
IEEE DOI 2203
Hair, Training, Geometry, Codes, Shape, Ear, Image and video synthesis, Faces, Neural generative models BibRef

Xia, W.H.[Wei-Hao], Yang, Y.J.[Yu-Jiu], Xue, J.H.[Jing-Hao], Wu, B.Y.[Bao-Yuan],
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation,
CVPR21(2256-2265)
IEEE DOI 2111
Image segmentation, Image resolution, Image synthesis, Face recognition, Semantics, Aerospace electronics BibRef

Shi, Y.C.[Yi-Chun], Aggarwal, D.[Divyansh], Jain, A.K.[Anil K.],
Lifting 2D StyleGAN for 3D-Aware Face Generation,
CVPR21(6254-6262)
IEEE DOI 2111
Training, Solid modeling, Shape, Face recognition, Computational modeling, Lighting BibRef

Tripathy, S.[Soumya], Kannala, J.H.[Ju-Ho], Rahtu, E.[Esa],
FACEGAN: Facial Attribute Controllable rEenactment GAN,
WACV21(1328-1337)
IEEE DOI 2106
Gold, Generative adversarial networks, Facial animation, Task analysis, Faces BibRef

Zhou, L.X.[Lan-Xiang], Wang, Y.F.[Yi-Fei], Xiao, B.[Bo], Xu, Q.F.[Qian-Fang],
DFH-GAN: A Deep Face Hashing with Generative Adversarial Network,
ICPR21(7012-7019)
IEEE DOI 2105
Training, Image coding, Face recognition, Image retrieval, Neural networks, Generative adversarial networks, Generators BibRef

Ghosh, P.[Partha], Gupta, P.S.[Pravir Singh], Uziel, R.[Roy], Ranjan, A.[Anurag], Black, M.J.[Michael J.], Bolkart, T.[Timo],
GIF: Generative Interpretable Faces,
3DV20(868-878)
IEEE DOI 2102
Faces, Solid modeling, Shape, Fires, Generative models, GANs, FaceAnimation BibRef

Knyaz, V.A., Kniaz, V.V., Novikov, M.M., Galeev, R.M.,
Machine Learning for Approximating Unknown Face,
ISPRS20(B2:857-862).
DOI Link 2012
BibRef

Zou, H., Ak, K.E., Kassim, A.A.,
Edge-GAN: Edge Conditioned Multi-View Face Image Generation,
ICIP20(2401-2405)
IEEE DOI 2011
Image generation, edge-conditioned, GAN, multi-view, face synthesis 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, 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, 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, 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

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

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.[Harsimran], Manduchi, R.[Roberto],
Subject Guided Eye Image Synthesis with Application to Gaze Redirection,
WACV21(11-20)
IEEE DOI 2106
BibRef
Earlier:
EyeGAN: Gaze-Preserving, Mask-Mediated Eye Image Synthesis,
WACV20(299-308)
IEEE DOI 2006
Training, Image segmentation, Iris, Image synthesis, Image color analysis, Training data, Estimation. Head, Generators, Labeling, Image generation 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.K.[Yong-Kang], 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, 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, 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

Yuan, Z.[Zheng], Zhang, J.[Jie], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Attributes Aware Face Generation with Generative Adversarial Networks,
ICPR21(1657-1664)
IEEE DOI 2105
Image resolution, Correlation, Image synthesis, Face recognition, Generative adversarial networks, Generators, Faces 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, 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
Award, ECCV, HM. 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.M.[Nick M.],
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, 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, 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:Mar 16, 2024 at 20:36:19