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Face hallucination is a domain-specific super-resolution problem with the goal to generate high-resolution (HR) faces from low-resolution (LR) input images.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
R. J. Williams · 1992
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Robust face detection using the hausdorff distance
O. Jesorsky, K. J. Kirchberg, and R. Frischholz · 2001
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Optimal eye movement strategies in visual search
J. Najemnik and W. S. Geisler · 2005
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Hallucinating face by eigentransformation
X. Wang and X. Tang · 2005
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Unsupervised joint alignment of complex images
G. B. Huang, V. Jain, and E. Learned-Miller · 2007
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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
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Face hallucination: Theory and practice
C. Liu, H.-Y. Shum, and W. T. Freeman · 2007
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Hallucinating face by position-patch
X. Ma, J. Zhang, and C. Qi · 2010
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Image super-resolution via sparse representation
J. Yang, J. Wright, T. S. Huang, and Y. Ma · 2010
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Fsim: a feature similarity index for image quality assessment
L. Zhang, L. Zhang, X. Mou, and D. Zhang · 2011
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The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2012
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Reinforcement learning based visual attention with application to face detection
B. Goodrich and I. Arel · 2012
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A bayesian approach to alignment-based image hallucination
M. F. Tappen and C. Liu · 2012
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Supervised descent method and its applications to face alignment
X. Xiong and F. De la Torre · 2013
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Structured face hallucination
C.-Y. Yang, S. Liu, and M.-H. Yang · 2013
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Deep network cascade for image super-resolution
Z. Cui, H. Chang, S. Shan, B. Zhong, and X. Chen · 2014
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Learning a deep convolutional network for image super-resolution
C. Dong, C. C. Loy, K. He, and X. Tang · 2014
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Recurrent models of visual attention
V. Mnih, N. Heess, A. Graves, and k. kavukcuoglu · 2014
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Active object localization with deep reinforcement learning
J. C. Caicedo and S. Lazebnik · 2015
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Deepid3: Face recognition with very deep neural networks
Y. Sun, D. Liang, X. Wang, and X. Tang · 2015
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Show, attend and tell: Neural image caption generation with visual attention
K. Xu, J. Ba, R. Kiros, K. Cho, A. Courville, R. Salakhudinov, R. Zemel, and Y. Bengio · 2015
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Naive-deep face recognition: Touching the limit of lfw benchmark or not?
E. Zhou, Z. Cao, and Q. Yin · 2015
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Learning face hallucination in the wild
E. Zhou, H. Fan, Z. Cao, Y. Jiang, and Q. Yin · 2015
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Tree-structured reinforcement learning for sequential object localization
Z. Jie, X. Liang, J. Feng, X. Jin, W. Lu, and S. Yan · 2016
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DRAW: A recurrent neural network for image generation
K. Gregor, I. Danihelka, A. Graves, D. J. Rezende, and D. Wierstra · 2015
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Convolutional sparse coding for image super-resolution
S. Gu, W. Zuo, Q. Xie, D. Meng, X. Feng, and L. Zhang · 2015
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Spatial transformer networks
M. Jaderberg, K. Simonyan, A. Zisserman, and k. kavukcuoglu · 2015
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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2015
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Deep learning face attributes in the wild
Z. Liu, P. Luo, X. Wang, and X. Tang · 2015
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Shepard convolutional neural networks
J. S. Ren, L. Xu, Q. Yan, and W. Sun · 2015
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Accurate image super-resolution using very deep convolutional networks
J. Kim, J. K. Lee, and K. M. Lee · 2016
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Mastering the game of go with deep neural networks and tree search
D. Silver, A. Huang, C. J. Maddison, A. Guez, L. Sifre, G. van den Driessche, J. Schrittwieser, I. Antonoglou, V. Panneershelvam, M. Lanctot, S. Dieleman, D. Grewe, J. Nham, N. Kalchbrenner, I. Sutskever, T. Lillicrap, M. Leach, K. Kavukcuoglu, T. Graepel, and D. Hassabis · 2016
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Global-local face upsampling network
O. Tuzel, Y. Taguchi, and J. R. Hershey · 2016
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Dynamic memory networks for visual and textual question answering
C. Xiong, S. Merity, and R. Socher · 2016
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Learning deep representation for face alignment with auxiliary attributes
Z. Zhang, P. Luo, C. C. Loy, and X. Tang · 2016
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Deep cascaded bi-network for face hallucination
S. Zhu, S. Liu, C. C. Loy, and X. Tang · 2016
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Deep variation-structured reinforcement learning for visual relationship and attribute detection
L. Xiaodan, L. Lisa, and P. X. Eric · 2017
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