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Photorealistic frontal view synthesis from a single face image has a wide range of applications in the field of face recognition.
Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters
J. G. Daugman · 1985
Earlier work this paper cites.
Rapid object detection using a boosted cascade of simple features
P. Viola and M. Jones · 2001
Earlier work this paper cites.
Face description with local binary patterns: Application to face recognition
T. Ahonen, A. Hadid, and M. Pietikainen · 2006
Earlier work this paper cites.
Labeled faces in the wild: A database for studying face recognition in unconstrained environments
G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller · 2007
Earlier work this paper cites.
Visualizing high-dimensional data using t-sne
L. van der Maaten and G. E. Hinton · 2008
Earlier work this paper cites.
Visio-lization: generating novel facial images
U. Mohammed, S. J. Prince, and J. Kautz · 2009
Earlier work this paper cites.
Distance metric learning for large margin nearest neighbor classification
K. Q. Weinberger and L. K. Saul · 2009
Earlier work this paper cites.
Multi-pie
R. Gross, I. Matthews, J. Cohn, T. Kanade, and S. Baker · 2010
Earlier work this paper cites.
Rectified linear units improve restricted boltzmann machines
V. Nair and G. E. Hinton · 2010
Earlier work this paper cites.
Blessing of dimensionality: High-dimensional feature and its efficient compression for face verification
D. Chen, X. Cao, F. Wen, and J. Sun · 2013
Earlier work this paper cites.
Deep learning identity-preserving face space
Z. Zhu, P. Luo, X. Wang, and X. Tang · 2013
Earlier work this paper cites.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Earlier work this paper cites.
Stacked progressive auto-encoders (spae) for face recognition across poses
M. Kan, S. Shan, H. Chang, and X. Chen · 2014
Earlier work this paper cites.
Auto-encoding variational bayes
D. P. Kingma and M. Welling · 2014
Earlier work this paper cites.
Conditional generative adversarial nets
M. Mirza and S. Osindero · 2014
Earlier work this paper cites.
Learning to disentangle factors of variation with manifold interaction
S. Reed, K. Sohn, Y. Zhang, and H. Lee · 2014
Earlier work this paper cites.
Stochastic backpropagation and approximate inference in deep generative models
D. J. Rezende, S. Mohamed, and D. Wierstra · 2014
Cited alongside, same era.
Deep learning face representation from predicting 10,000 classes
Y. Sun, X. Wang, and X. Tang · 2014
Cited alongside, same era.
Deepface: Closing the gap to human-level performance in face verification
Y. Taigman, M. Yang, M. Ranzato, and L. Wolf · 2014
Cited alongside, same era.
Multi-view perceptron: a deep model for learning face identity and view representations
Z. Zhu, P. Luo, X. Wang, and X. Tang · 2014
Cited alongside, same era.
Deep generative image models using a laplacian pyramid of adversarial networks
E. L. Denton, S. Chintala, R. Fergus, et al · 2015
Cited alongside, same era.
Effective face frontalization in unconstrained images
T. Hassner, S. Harel, E. Paz, and R. Enbar · 2015
Towards automatic image editing: Learning to see another you
A. Ghodrati, X. Jia, M. Pedersoli, and T. Tuytelaars · 2016
Later among the works it cites.
Ms-celeb-1m: A dataset and benchmark for large-scale face recognition
Y. Guo, L. Zhang, Y. Hu, X. He, and J. Gao · 2016
Later among the works it cites.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Later among the works it cites.
Perceptual losses for real-time style transfer and super-resolution
J. Johnson, A. Alahi, and L. Fei-Fei · 2016
Later among the works it cites.
Combining markov random fields and convolutional neural networks for image synthesis
C. Li and M. Wand · 2016
Later among the works it cites.
Context encoders: Feature learning by inpainting
D. Pathak, P. Krahenbuhl, J. Donahue, T. Darrell, and A. A. Efros · 2016
Later among the works it cites.
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
Cited alongside, same era.
Robust statistical face frontalization
C. Sagonas, Y. Panagakis, S. Zafeiriou, and M. Pantic · 2015
Cited alongside, same era.
Facenet: A unified embedding for face recognition and clustering
F. Schroff, D. Kalenichenko, and J. Philbin · 2015
Cited alongside, same era.
Conditional convolutional neural network for modality-aware face recognition
C. Xiong, X. Zhao, D. Tang, K. Jayashree, S. Yan, and T. K. Kim · 2015
Cited alongside, same era.
Weakly-supervised disentangling with recurrent transformations for 3d view synthesis
J. Yang, S. E. Reed, M.-H. Yang, and H. Lee · 2015
Cited alongside, same era.
Rotating your face using multi-task deep neural network
J. Yim, H. Jung, B. Yoo, C. Choi, D. Park, and J. Kim · 2015
Cited alongside, same era.
Deep joint face hallucination and recognition
J. Wu, S. Ding, W. Xu, and H. Chao · 2016
Later among the works it cites.
A light cnn for deep face representation with noisy labels
X. Wu, R. He, Z. Sun, and T. Tan · 2016
Later among the works it cites.
Combining data-driven and model-driven methods for robust facial landmark detection
H. Zhang, Q. Li, and Z. Sun · 2016
Later among the works it cites.
Pose-invariant face recognition with homography-based normalization
C. Ding and D. Tao · 2017
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Photo-realistic single image super-resolution using a generative adversarial network
C. Ledig et al · 2017
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Learning residual images for face attribute manipulation
W. Shen and R. Liu · 2017
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Learning from simulated and unsupervised images through adversarial training
A. Shrivastava, T. Pfister, O. Tuzel, J. Susskind, W. Wang, and R. Webb · 2017
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Disentangled representation learning gan for pose-invariant face recognition
L. Tran, X. Yin, and X. Liu · 2017
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Unlabeled samples generated by gan improve the person re-identification baseline in vitro
Z. Zheng, L. Zheng, and Y. Yang · 2017
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