| [1] |
MOHAMMED U , SIMON J D P , KAUTZ J . Visio-lization:generating novel facial images[J]. ACM Transactions on Graphics, 2009,28(3):57.
|
| [2] |
DENG Y , DAI Q , ZHANG Z . Graph Laplace for occluded face completion and recognition[J]. IEEE Trans Image Process, 2011,20(8): 2329-2338.
|
| [3] |
GOODFELLOW I J , POUGETABADIE J , MIRZA M ,et al. Generative adversarial nets[J]. Advances in Neural Information Processing Systems, 2014,3: 2672-2680.
|
| [4] |
RADFORD A , METZ L , CHINTALA S . Unsupervised representation learning with deep convolutional generative adversarial networks[J]. Computer Science, 2015
|
| [5] |
LECUN Y , BOTTOU L , BENGIO Y ,et al. Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 1998,86(11): 2278-2324.
|
| [6] |
MIYATO T , KATAOKA T , KOYAMA M ,et al. Spectral normalization for generative adversarial networks[C]// ICML Workshop on Implicit Models. 2018.
|
| [7] |
GULRAJANI I , AHMED F , ARJOVSKY M ,et al. Improved training of Wasserstein GANs[C]// Advances in Neural Information Processing Systems. 2017.
|
| [8] |
PATHAK D , KRAHENBUHL P , DONAHUE J ,et al. Context encoders:feature learning by inpainting[C]// IEEE Computer Vision and Pattern Recognition. 2016: 2536-2544.
|
| [9] |
ISHIKAWA H , ISHIKAWA H , ISHIKAWA H . Globally and locally consistent image completion[C]// ACM Transactions on Graphics (TOG) . 2017:107.
|
| [10] |
WU X , HE R , SUN Z ,et al. A light CNN for deep face representation with noisy labels[J]. IEEE Transactions on Information Forensics ＆ Security, 2017,(99): 1-1.
|
| [11] |
HUANG R , ZHANG S , LI T ,et al. Beyond face rotation:global and local perception GAN for photorealistic and identity preserving frontal view synthesis[J]. arXiv:1704.04086, 2017: 2458-2467.
|
| [12] |
XU K , BA J , KIROS R ,et al. Show,attend and tell:neural image caption generation with visual attention[J]. Computer Science, 2015: 2048-2057.
|
| [13] |
HUANG G B , MATTAR M , BERG T ,et al. Labeled faces in the wild:a database forstudying face recognition in unconstrained environments[R]. 2007.
|
| [14] |
HUANG G B , MATTAR M , LEE H ,et al. Learning to align from scratch[C]// Advances in Neural Information Processing Systems (NIPS). 2012.
|
| [15] |
YU F , KOLTUN V . Multi-scale context aggregation by dilated convolutions[J]. arXiv preprint arXiv:1511.07122, 2015:
|
| [16] |
NAIR V , HINTON G E . Rectified linear units improve restricted boltzmann machines[C]// International Conference on International Conference on Machine Learning. 2010: 807-814.
|
| [17] |
IOFFE S , SZEGEDY C . Batch normalization:accelerating deep network training by reducing internal covariate shift[J]. arXiv:1502.03167v3, 2015: 448-456.
|
| [18] |
LAU M M , LIM K H . Investigation of activation functions in deep belief network[C]// 2017 2nd International Conference on Control and Robotics Engineering (ICCRE). 2017: 201-206.
|
| [19] |
CYBENKO C . Approximation by superpositions of sigmodial function[J]. Mathematics of Control Signals ＆ Systems, 1989,2.
|
| [20] |
ZHENG H , YANG Z , LIU W ,et al. Improving deep neural networks using softplus units[C]// International Joint Conference on Neural Networks. 2015: 1-4.
|
| [21] |
YANG S , LUO P , LOY C C ,et al. From facial parts responses to face detection:a deep learning approach[C]// IEEE International Conference on Computer Vision. IEEE Computer Society, 2015: 3676-3684.
|
| [22] |
HUANG J B , KANG S B , AHUJA N ,et al. Image completion using planar structure guidance[J]. ACM Transactions on Graphics, 2014,33(4): 1-10.
|
),Hongquan WEI,Chao GAO,Ruiyang HUANG
