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Encoding images as a series of high-level constructs, such as brush strokes or discrete shapes, can often be key to both human and machine understanding.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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The mnist database of handwritten digits
Yann LeCun · 1998
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Sketch interpretation and refinement using statistical models
Saul Simhon and Gregory Dudek · 2004
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Generating sequences with recurrent neural networks
Alex Graves · 2013
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Artist agent: A reinforcement learning approach to automatic stroke generation in oriental ink painting
Ning Xie, Hirotaka Hachiya, and Masashi Sugiyama · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Draw: A recurrent neural network for image generation
Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, and Daan Wierstra · 2015
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Human-level concept learning through probabilistic program induction
Brenden M Lake, Ruslan Salakhutdinov, and Joshua B Tenenbaum · 2015
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Show and tell: A neural image caption generator
Oriol Vinyals, Alexander Toshev, Samy Bengio, and Dumitru Erhan · 2015
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Show, attend and tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio · 2015
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Infogan: Interpretable representation learning by information maximizing generative adversarial nets
Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, and Pieter Abbeel · 2016
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Gan-mnist
Yihui He · 2016
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Rethinking the inception architecture for computer vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna · 2016
Progressive growing of gans for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2017
Later among the works it cites.
URL https://www.pixiv.net/member_illust.php?mode=medium&illust_id=63490861
Kushidama Minaka, 2017 · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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URL https://www.pixiv.net/member_illust.php?mode=medium&illust_id=68959346
AO, 2018 · 2018
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Synthesizing programs for images using reinforced adversarial learning
Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, SM Eslami, and Oriol Vinyals · 2018
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A neural representation of sketch drawings
David Ha and Douglas Eck · 2017
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Sketchkeras
Illyasveil · 2017
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton
Cited in the paper.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton
Cited in the paper.
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An intriguing failing of convolutional neural networks and the coordconv solution
Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, and Jason Yosinski · 2018
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URL https://jutakunavi.web.fc2.com/
Madori Databank, 2018 · 2018
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Unsupervised generation of free-form and parameterized avatars
Adam Polyak, Lior Wolf, and Yaniv Taigman · 2018
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