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Whilst there are perhaps only a few scientific methods, there seem to be almost as many artistic methods as there are artists.
Paragraphs on conceptual art
Sol LeWitt · 1967
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Mathematical models for cellular interactions in development i. filaments with one-sided inputs
Aristid Lindenmayer · 1968
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Toward aesthetic guidelines for paintings with the aid of a computer
Vera Molnar · 1975
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How to make a drawing
Harold Cohen · 1982
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Levels of description: A novel approach to dynamical hierarchies
Simon McGregor and Chrisantha Fernando · 2005
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A stochastic grammar of images
Song-Chun Zhu and David Mumford · 2007
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Picbreeder: evolving pictures collaboratively online
Jimmy Secretan, Nicholas Beato, David B D Ambrosio, Adelein Rodriguez, Adam Campbell, and Kenneth O Stanley · 2008
Earlier work this paper cites.
The microbial genetic algorithm
Inman Harvey · 2009
Earlier work this paper cites.
Picbreeder: A case study in collaborative evolutionary exploration of design space
Jimmy Secretan, Nicholas Beato, David B D’Ambrosio, Adelein Rodriguez, Adam Campbell, Jeremiah T Folsom-Kovarik, and Kenneth O Stanley · 2011
Earlier work this paper cites.
The final frontier?
Simon Colton, Geraint A Wiggins, et al · 2012
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DeViSE: A Deep Visual-Semantic Embedding Model
Andrea Frome, Gregory S. Corrado, Jonathon Shlens, Samy Bengio, Jeffrey Dean, Marc’Aurelio Ranzato, and Tomas Mikolov · 2013
Cited alongside, same era.
Generative adversarial networks
Ian J Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Cited alongside, same era.
Inceptionism: Going deeper into neural networks, 2015b
Alexander Mordvintsev, Christopher Olah, and Mike Tyka · 2015
Cited alongside, same era.
Innovation engines: Automated creativity and improved stochastic optimization via deep learning
Anh Mai Nguyen, Jason Yosinski, and Jeff Clune · 2015
Cited alongside, same era.
Ahmed Elgammal, Bingchen Liu, Mohamed Elhoseiny, and Marian Mazzone · 2017
Cited alongside, same era.
Computers do not make art, people do
Aaron Hertzmann · 2020
Later among the works it cites.
Differentiable vector graphics rasterization for editing and learning
Tzu-Mao Li, Michal Lukáč, Michaël Gharbi, and Jonathan Ragan-Kelley · 2020
Later among the works it cites.
An image is worth 16x16 words: Transformers for image recognition at scale, 2020
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2020
Later among the works it cites.
From language games to drawing games
Chrisantha Fernando, Daria Zenkova, Stanislav Nikolov, and Simon Osindero · 2020
Later among the works it cites.
Data and its (dis)contents: A survey of dataset development and use in machine learning research, 2020
Amandalynne Paullada, Inioluwa Deborah Raji, Emily M. Bender, Emily Denton, and Alex Hanna · 2020
Later among the works it cites.
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
The creativity code
Marcus Du Sautoy · 2019
Cited alongside, same era.
Shared visual abstractions, 2019
Tom White · 2019
Cited alongside, same era.
Large scale gan training for high fidelity natural image synthesis, 2019
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2019
Cited alongside, same era.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever · 2019
Cited alongside, same era.
Jeff koons lays off dozens in a move toward a decentralized, automated studio practice
Tim Schneider · 2019
Cited alongside, same era.
Deepdream-a code example for visualizing neural networks
Alexander Mordvintsev, Christopher Olah, and Mike Tyka
Cited in the paper.
Decolonial ai: Decolonial theory as sociotechnical foresight in artificial intelligence
Shakir Mohamed, Marie-Therese Png, and William Isaac · 2020
Later among the works it cites.
Learning transferable visual models from natural language supervision, 2021
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
Closest in time.
Zero-shot text-to-image generation, 2021
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever · 2021
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Scaling up visual and vision-language representation learning with noisy text supervision, 2021
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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High-performance large-scale image recognition without normalization
Andrew Brock, Soham De, Samuel L Smith, and Karen Simonyan · 2021
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Videos of the generative process
Chrisantha Fernando · 2021
Closest in time.