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We explore neural painters, a generative model for brushstrokes learned from a real non-differentiable and non-deterministic painting program.
Paint by numbers: Abstract image representations
Paul Haeberli · 1990
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Computer-generated pen-and-ink illustration
Georges Winkenbach and David H Salesin · 1994
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Painterly rendering with curved brush strokes of multiple sizes
Aaron Hertzmann · 1998
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An algorithm for automatic painterly rendering based on local source image approximation
Michio Shiraishi and Yasushi Yamaguchi · 2000
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A survey of stroke-based rendering
Aaron Hertzmann · 2003
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Compositional pattern producing networks: A novel abstraction of development
Kenneth O Stanley · 2007
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 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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Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
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A neural algorithm of artistic style
Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge · 2015
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Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
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Image style transfer using convolutional neural networks
Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge · 2016
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Deep learning for classical japanese literature
Tarin Clanuwat, Mikel Bober-Irizar, Asanobu Kitamoto, Alex Lamb, Kazuaki Yamamoto, and David Ha · 2018
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Unsupervised image to sequence translation with canvas-drawer networks
Kevin Frans and Chin-Yi Cheng · 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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Recurrent world models facilitate policy evolution
David Ha and Jürgen Schmidhuber · 2018
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Learning latent dynamics for planning from pixels
Danijar Hafner, Timothy Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, and James Davidson · 2018
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Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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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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Neural style transfer: A review
Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Yizhou Yu, and Mingli Song · 2017
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Differentiable image parameterizations
Alexander Mordvintsev, Nicola Pezzotti, Ludwig Schubert, and Chris Olah · 2018
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Perception engines, 2018
Tom White · 2018
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Mypaint, 2019
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Ningyuan Zheng, Yifan Jiang, and Dingjiang Huang · 2019
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