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Evolutionary algorithms have been used in the digital art scene since the 1970s.
Evolved art with transparent, overlapping, and geometric shapes
Joachim Berg, Nils Gustav Andreas Berggren, Sivert Allergodt Borgeteien, Christian Ruben Alexander Jahren, Arqam Sajid, and Stefano Nichele · 1904
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Neural painters: A learned differentiable constraint for generating brushstroke paintings
Reiichiro Nakano · 1904
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Unsupervised doodling and painting with improved spiral
John FJ Mellor, Eunbyung Park, Yaroslav Ganin, Igor Babuschkin, Tejas Kulkarni, Dan Rosenbaum, Andy Ballard, Theophane Weber, Oriol Vinyals, and SM Eslami · 1910
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Tom White · 1912
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Three approaches to the quantitative definition of information
Andrei Kolmogorov · 1965
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Mathematical models for cellular interactions in development i. filaments with one-sided inputs
Aristid Lindenmayer · 1968
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Algorithmic art, 1994
Roman Verostko · 1994
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Low-complexity art
Jürgen Schmidhuber · 1997
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The theory of evolution strategies
Hans-Georg Beyer · 2001
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Minimalist architecture
Franco Bertoni · 2002
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Evolution strategies–a comprehensive introduction
Hans-Georg Beyer and Hans-Paul Schwefel · 2002
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Mathematics and art, 2003
Joseph Malkevitchn · 2003
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Geometric abstraction, 2004
Magdalena Dabrowski · 2004
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Abstract expressionism, 2004
Stella Paul · 2004
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Differentiable rendering: A survey
Hiroharu Kato, Deniz Beker, Mihai Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, and Adrien Gaidon · 2006
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Evolution of mona lisa in javascript and canvas, 2008
Alteredqualia · 2008
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Genetic programming: Evolution of mona lisa, 2008
Roger Johansson · 2008
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Clipup: A simple and powerful optimizer for distribution-based policy evolution
Nihat Engin Toklu, Paweł Liskowski, and Rupesh Kumar Srivastava · 2008
Cited alongside, same era.
The microbial genetic algorithm
Inman Harvey · 2009
Cited alongside, same era.
Parameter-exploring policy gradients
Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters, and Jürgen Schmidhuber · 2010
Cited alongside, same era.
Modular primitives for high-performance differentiable rendering
Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, and Timo Aila · 2011
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Cited alongside, same era.
Waifu labs, 2019
"Sizigi Studios" · 2019
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Strokenet: A neural painting environment
Ningyuan Zheng, Yifan Jiang, and Dingjiang Huang · 2019
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Scones: towards conversational authoring of sketches
Forrest Huang, Eldon Schoop, David Ha, and John Canny · 2020
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Differentiable vector graphics rasterization for editing and learning
Tzu-Mao Li, Michal Lukáč, Michaël Gharbi, and Jonathan Ragan-Kelley · 2020
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Procedural paintings with genetic evolution algorithm, 2020
Shahriar Shahrabi · 2020
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File:040 okertalsperre.jpg — wikimedia commons the free media repository, 2020
Wikimedia Commons · 2021
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Heilbrunn timeline of art history: Cubism
Sabine Rewald · 2014
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Draw: A recurrent neural network for image generation
Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Rezende, and Daan Wierstra · 2015
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Genetic draw, 2016
Kenny Cason · 2016
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Primitive pictures, 2016
Michael Fogleman · 2016
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Evolving stable strategies
David Ha · 2017
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A neural representation of sketch drawings
David Ha and Douglas Eck · 2017
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Evolution strategies as a scalable alternative to reinforcement learning
Tim Salimans, Jonathan Ho, Xi Chen, Szymon Sidor, and Ilya Sutskever · 2017
Cited alongside, same era.
Royal academy summer exhibition 2021 submission, 2021
Chrisantha Fernando · 2021
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Generative art using neural visual grammars and dual encoders
Chrisantha Fernando, SM Eslami, Jean-Baptiste Alayrac, Piotr Mirowski, Dylan Banarse, and Simon Osindero · 2021
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Clipdraw: Exploring text-to-drawing synthesis through language-image encoders
Kevin Frans, LB Soros, and Olaf Witkowski · 2021
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Generating images from caption and vice versa via clip-guided generative latent space search
Federico A Galatolo, Mario GCA Cimino, and Gigliola Vaglini · 2021
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Ganscapes: Using ai to create new impressionist paintings, 2021
Robert A. Gonsalves · 2021
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Scaling up visual and vision-language representation learning with noisy text supervision
Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc V Le, Yunhsuan Sung, Zhen Li, and Tom Duerig · 2021
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Modernism, 2021
Kathleen Kuiper · 2021
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Paint transformer: Feed forward neural painting with stroke prediction
Songhua Liu, Tianwei Lin, Dongliang He, Fu Li, Ruifeng Deng, Xin Li, Errui Ding, and Hao Wang · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Introduction to vqgan+clip, 2021
@samburtonking · 2021
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Process art, 2021
Tate · 2021
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