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Face Super-Resolution (SR) is a domain-specific super-resolution problem.
Hallucinating faces
S. Baker and T. Kanade · 2000
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Hallucinating face by eigentransformation
X. Wang and X. Tang · 2005
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Face hallucination: Theory and practice
C. Liu, H. Shum, and W. Freeman · 2007
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Rectified linear units improve restricted boltzmann machines
V. Nair and G. Hinton · 2010
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Torch7: A matlab-like environment for machine learning
R. Collobert, K. Kavukcuoglu, and C. Farabet · 2011
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Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook
N. Pinto, Z. Stone, T. Zickler, and D. Cox · 2011
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Interactive facial feature localization
V. Le, J. Brandt, Z. Lin, L. Boudev, and T. S. Huang · 2012
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Speech recognition with deep recurrent neural networks
A. Graves, A. rahman Mohamed, and G. Hinton · 2013
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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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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D.Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Deepface: Closing the gap to human-level performance in face verification
Y. Taigman, M. Yang, M. Ranzato, and L. Wolf · 2014
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Coarse-to-fine auto-encoder networks (cfan) for real-time face alignment
J. Zhang, S. Shan, M. Kan, and X. Chen · 2014
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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Robust multi-image based blind face hallucination
Y. Jin and C. Bouganis · 2015
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Transport-based single frame super resolution of very low resolution face images
S. Kolouri and G. K. Rohde · 2015
Cited alongside, same era.
Deep learning face attributes in the wild
Z. Liu, P. Luo, X. Wang, and X. Tang · 2015
Cited alongside, same era.
Naive bayes super-resolution forest
J. Salvador and E. Perez-Pellitero · 2015
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
Cited alongside, same era.
Project-out cascaded regression with an application to face alignment
G. Tzimiropoulos · 2015
Cited alongside, same era.
Attention-aware face hallucination via deep reinforcement learning
Q. Cao, L. Lin, Y. Shi, X. Liang, and G. Li · 2017
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Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation
Y. Chen, C. Shen, X.-S. Wei, L. Liu, and Y. Jian · 2017
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Adversarial learning of structure-aware fully convolutional networks for landmark localization
Y. Chen, C. Shen, X.-S. Wei, L. Liu, and J. Yang · 2017
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Scale-aware face detection
Z. Hao, Y. Liu, H. Qin, J. Yan, X. Li, and X. Hu · 2017
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Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution
H. Huang, R. He, Z. Sun, and T. Tan · 2017
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Image-to-image translation with conditional adversarial networks
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Face alignment by coarse-to-fine shape searching
S. Zhu, C. Li, C. Change Loy, and X. Tang · 2015
Cited alongside, same era.
Image super-resolution using deep convolutional networks
C. Dong, C. Loy, K. He, and X. Tang · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Perceptual losses for real-time style transfer and super-resolution
J. Johnson, A. Alahi, and L. Fei-Fei · 2016
Cited alongside, same era.
Accurate image super-resolution using very deep convolutional networks
J. Kim, J. K. Lee, and K. M. Lee · 2016
Cited alongside, same era.
Stacked hourglass networks for human pose estimation
A. Newell, K. Yang, and J. Deng · 2016
Cited alongside, same era.
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2017
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Pose-invariant face alignment with a single cnn
A. Jourabloo, M. Ye, X. Liu, and L. Ren · 2017
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Deep alignment network: A convolutional neural network for robust face alignment
M. Kowalski, J. Naruniec, and T. Trzcinski · 2017
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Photo-realistic single image super-resolution using a generative adversarial network
C. Ledig, L. Theis, F. Huszar, J. Caballero, A. Aitken, A. Tejani, J. Totz, Z. Wang, and W. Shi · 2017
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Generative face completion
Y. Li, S. Liu, J. Yang, and M.-H. Yang · 2017
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Learning to hallucinate face images via component generation and enhancement
Y. Song, J. Zhang, S. He, L. Bao, and Q. Yang · 2017
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Image super-resolution via deep recursive residual network
Y. Tai, J. Yang, and X. Liu · 2017
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Memnet: A persistent memory network for image restoration
Y. Tai, J. Yang, X. Liu, and C. Xu · 2017
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Nuclear norm based matrix regression with applications to face recognition with occlusion and illumination changes
J. Yang, L. Luo, J. Qian, Y. Tai, F. Zhang, and Y. Xu · 2017
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Hallucinating very low-resolution unaligned and noisy face images by transformative discriminative autoencoders
X. Yu and F. Porikli · 2017
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