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We show how to teach machines to paint like human painters, who can use a small number of strokes to create fantastic paintings.
Paint by numbers: Abstract image representations
Paul Haeberli · 1990
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Q-learning
Christopher JCH Watkins and Peter Dayan · 1992
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Processing images and video for an impressionist effect
Peter Litwinowicz · 1997
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Painterly rendering with curved brush strokes of multiple sizes
Aaron Hertzmann · 1998
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The mnist database of handwritten digits
Yann LeCun · 1998
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A survey of stroke-based rendering
Aaron Hertzmann · 2003
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Painterly animation using video semantics and feature correspondence
Liang Lin, Kun Zeng, Han Lv, Yizhou Wang, Yingqing Xu, and Song-Chun Zhu · 2010
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Reading digits in natural images with unsupervised feature learning
Yuval Netzer, Tao Wang, Adam Coates, Alessandro Bissacco, Bo Wu, and Andrew Y Ng · 2011
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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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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Deterministic policy gradient algorithms
David Silver, Guy Lever, Nicolas Heess, Thomas Degris, Daan Wierstra, and Martin Riedmiller · 2014
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Frame skip is a powerful parameter for learning to play atari
Alex Braylan, Mark Hollenbeck, Elliot Meyerson, and Risto Miikkulainen · 2015
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Batch normalization: accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Continuous control with deep reinforcement learning
Timothy P Lillicrap, Jonathan J Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, and Daan Wierstra · 2015
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Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
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ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei · 2015
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Improved training of wasserstein gans
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron C Courville · 2017
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A neural representation of sketch drawings
David Ha and Douglas Eck · 2017
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Photo-realistic single image super-resolution using a generative adversarial network
Christian Ledig, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, et al · 2017
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On the effects of batch and weight normalization in generative adversarial networks
Sitao Xiang and Hao Li · 2017
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Photo-realistic single image super-resolution using a generative adversarial network
Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, and Zehan Wang · 2016
Cited alongside, same era.
Weight normalization: A simple reparameterization to accelerate training of deep neural networks
Tim Salimans and Durk P Kingma · 2016
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Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
Wenzhe Shi, Jose Caballero, Ferenc Huszár, Johannes Totz, Andrew P Aitken, Rob Bishop, Daniel Rueckert, and Zehan Wang · 2016
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Wasserstein generative adversarial networks
Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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Sketch-pix2seq: a model to generate sketches of multiple categories
Yajing Chen, Shikui Tu, Yuqi Yi, and Lei Xu · 2017
Cited alongside, same era.
Learning to doodle with deep q-networks and demonstrated strokes
Tao Zhou, Chen Fang, Zhaowen Wang, Jimei Yang, Byungmoon Kim, Zhili Chen, Jonathan Brandt, and Demetri Terzopoulos
Cited in the paper.
Semantic image inpainting with deep generative models
Raymond A Yeh, Chen Chen, Teck Yian Lim, Alexander G Schwing, Mark Hasegawa-Johnson, and Minh N Do · 2017
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Synthesizing programs for images using reinforced adversarial learning
Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, SM Ali Eslami, and Oriol Vinyals · 2018
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Recurrent world models facilitate policy evolution
David Ha and Jürgen Schmidhuber · 2018
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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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Learning to sketch with shortcut cycle consistency
Jifei Song, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, and Timothy M Hospedales · 2018
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Strokenet: A neural painting environment
Ningyuan Zheng, Yifan Jiang, and Dingjiang Huang · 2019
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