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It has been recently shown that Generative Adversarial Networks (GANs) can produce synthetic images of exceptional visual fidelity.
“A limited memory algorithm for bound constrained optimization,”
Richard H Byrd, Peihuang Lu, Jorge Nocedal, and Ciyou Zhu, · 1995
Earlier work this paper cites.
“Prototyping and transforming facial textures for perception research,”
Bernard Tiddeman, Michael Burt, and David Perrett, · 2001
Earlier work this paper cites.
“Age synthesis and estimation via faces: A survey,”
Yun Fu, Guodong Guo, and Thomas S Huang, · 2010
Earlier work this paper cites.
“Age-invariant face recognition,”
Unsang Park, Yiying Tong, and Anil K Jain, · 2010
Earlier work this paper cites.
“A compositional and dynamic model for face aging,”
Jinli Suo, Song-Chun Zhu, Shiguang Shan, and Xilin Chen, · 2010
Earlier work this paper cites.
“Facial aging simulator considering geometry and patch-tiled texture,”
Yusuke Tazoe, Hiroaki Gohara, Akinobu Maejima, and Shigeo Morishima, · 2012
Earlier work this paper cites.
“Illumination-aware age progression,”
Ira Kemelmacher-Shlizerman, Supasorn Suwajanakorn, and Steven M Seitz, · 2014
Earlier work this paper cites.
“Auto-encoding variational bayes,”
Diederik P Kingma and Max Welling, · 2014
Earlier work this paper cites.
“Conditional generative adversarial nets,”
Mehdi Mirza and Simon Osindero, · 2014
Cited alongside, same era.
“Conditional generative adversarial nets for convolutional face generation,”
Jon Gauthier, · 2014
Cited alongside, same era.
“Adam: A method for stochastic optimization,”
Diederik Kingma and Jimmy Ba, · 2014
Cited alongside, same era.
“Personalized age progression with aging dictionary,”
Xiangbo Shu, Jinhui Tang, Hanjiang Lai, Luoqi Liu, and Shuicheng Yan, · 2015
Cited alongside, same era.
“Generative adversarial nets,”
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio, · 2015
Cited alongside, same era.
“Facenet: A unified embedding for face recognition and clustering,”
Florian Schroff, Dmitry Kalenichenko, and James Philbin, · 2015
“Recurrent face aging,”
Wei Wang, Zhen Cui, Yan Yan, Jiashi Feng, Shuicheng Yan, Xiangbo Shu, and Nicu Sebe, · 2016
Later among the works it cites.
“Autoencoding beyond pixels using a learned similarity metric,”
Anders Boesen Lindbo Larsen, Søren Kaae Sønderby, Hugo Larochelle, and Ole Winther, · 2016
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“Invertible conditional gans for image editing,”
Guim Perarnau, Joost van de Weijer, Bogdan Raducanu, and Jose M Álvarez, · 2016
Later among the works it cites.
“Unsupervised representation learning with deep convolutional generative adversarial networks,”
Alec Radford, Luke Metz, and Soumith Chintala, · 2016
Later among the works it cites.
“Generative visual manipulation on the natural image manifold,”
Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, and Alexei A Efros, · 2016
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“Apparent age estimation from face images combining general and children-specialized deep learning models,”
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Cited alongside, same era.
“Dex: Deep expectation of apparent age from a single image,”
Rasmus Rothe, Radu Timofte, and Luc Van Gool, · 2015
Cited alongside, same era.
Grigory Antipov, Moez Baccouche, Sid-Ahmed Berrani, and Jean-Luc Dugelay, · 2016
Later among the works it cites.
“Openface: A general-purpose face recognition library with mobile applications,”
Brandon Amos, Bartosz Ludwiczuk, and Mahadev Satyanarayanan, · 2016
Later among the works it cites.