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The task of image generation started to receive some attention from artists and designers to inspire them in new creations.
Genetic algorithms and the optimal allocation of trials
John H. Holland · 1973
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On the limited memory BFGS method for large scale optimization
Dong C. Liu and Jorge Nocedal · 1989
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Genetic algorithms are not function optimizers
Kenneth A. De Jong · 1993
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Evolution strategies for solving discrete optimization problems
Jianbo Cai and Georg Thierauf · 1996
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Differential evolution - a simple and efficient heuristic for global optimization over continuous spaces
Rainer Storn and Kenneth Price · 1997
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Evofit: A holistic, evolutionary facial imaging technique for creating composites
Charlie D. Frowd, Peter J. B. Hancock, and Derek Carson · 2004
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Automated flower classification over a large number of classes
Maria-Elena Nilsback and Andrew Zisserman · 2008
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New methodology in facial composite construction: from theory to practice
Stuart J. Gibson, Chris J. Solomon, Matthew I. S. Maylin, and Clifford Clark · 2009
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A new computational methodology for the construction of forensic, facial composites
Christopher Solomon, Stuart Gibson, and Matthew Maylin · 2009
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Giving crime the ’evo’: Catching criminals using evofit facial composites
Charlie D. Frowd, Peter J. B. Hancock, Vicky Bruce, Alex H. McIntyre, Melanie Pitchford, Rebecca Atkins, Andrea Webster, John Pollard, Beverly Hunt, Emma Price, Sandra Morgan, Andrew Stoika, Romeo Dughila, Sergiu Maftei, and Gabriel Sendrea · 2010
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Whole-face procedures for recovering facial images from memory
Charlie D. Frowd, Faye Skelton, Gemma Hepton, Laura Holden, Simra Minahil, Melanie Pitchford, Alex McIntyre, Charity Brown, and Peter J.B. Hancock · 2013
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Describing textures in the wild
Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos, Sammy Mohamed, and Andrea Vedaldi · 2014
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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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Visualizing and understanding convolutional networks
Matthew D Zeiler and Rob Fergus · 2014
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Generating images with perceptual similarity metrics based on deep networks
Alexey Dosovitskiy and Thomas Brox · 2016
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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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Deepfashion: Powering robust clothes recognition and retrieval with rich annotations
Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, and Xiaoou Tang · 2016
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Synthesizing the preferred inputs for neurons in neural networks via deep generator networks
Anh Mai Nguyen, Alexey Dosovitskiy, Jason Yosinski, Thomas Brox, and Jeff Clune · 2016
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Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2016
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Generative adversarial text to image synthesis
Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, and Honglak Lee · 2016
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Texture networks: Feed-forward synthesis of textures and stylized images
Dmitry Ulyanov, Vadim Lebedev, Andrea Vedaldi, and Victor S. Lempitsky · 2016
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Generative visual manipulation on the natural image manifold
Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, and Alexei A. Efros · 2016
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Neural photo editing with introspective adversarial networks
Andrew Brock, Theodore Lim, James M. Ritchie, and Nick Weston · 2017
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Adversarial feature learning
Jeff Donahue, Philipp Krähenbühl, and Trevor Darrell · 2017
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Can: Creative adversarial networks generating “art” by learning about styles and deviating from style norms
Ahmed Elgammal, Bingchen Liu, Mohamed Elhoseiny, and Marian Mazzone · 2017
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Arbitrary style transfer in real-time with adaptive instance normalization
Progressive growing of GANs for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2018
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Nevergrad - A gradient-free optimization platform
J. Rapin and O. Teytaud · 2018
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Fashion-Gen: The Generative Fashion Dataset and Challenge
Negar Rostamzadeh, Seyedarian Hosseini, Thomas Boquet, Wojciech Stokowiec, Ying Zhang, Christian Jauvin, and Chris Pal · 2018
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Deja vu: an empirical evaluation of the memorization properties of convnets
Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, and Hervé Jégou · 2018
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DesIGN: Design Inspiration from Generative Networks
Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann LeCun, and Camille Couprie · 2018
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Xun Huang and Serge Belongie · 2017
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Understanding black-box predictions via influence functions
Pang Wei Koh and Percy Liang · 2017
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Fader networks: Manipulating images by sliding attributes
Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, et al · 2017
Cited alongside, same era.
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
Cited alongside, same era.
Unsupervised image-to-image translation networks
Ming-Yu Liu, Thomas Breuel, and Jan Kautz · 2017
Cited alongside, same era.
Unrolled generative adversarial networks
Luke Metz, Ben Poole, David Pfau, and Jascha Sohl-Dickstein · 2017
Cited alongside, same era.
Medical image synthesis with context-aware generative adversarial networks
Dong Nie, Roger Trullo, Jun Lian, Caroline Petitjean, Su Ruan, Qian Wang, and Dinggang Shen · 2017
Cited alongside, same era.
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Creation, curation, and classification: Mario klingemann and emily l. spratt in conversation
Emily L. Spratt · 2018
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Deep image prior
Andrea Vedaldi Ulyanov, Dmitry and Victor Lempitsky · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, and Oliver Wang · 2018
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Photographic text-to-image synthesis with a hierarchically-nested adversarial network
Zizhao Zhang, Yuanpu Xie, and Lin Yang · 2018
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Imagine it for me: A generative adversarial approach for zero-shot learning from noisy texts
Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, and Ahmed Elgammal · 2018
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Semantic photo manipulation with a generative image prior
David Bau, Hendrik Strobelt, William Peebles, Jonas Wulff, Bolei Zhou, Jun-Yan Zhu, and Antonio Torralba · 2019
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Live face de-identification in video
Oran Gafni, Lior Wolf, and Yaniv Taigman · 2019
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Creation of facial composites from user selections using image gradient
Ruben Garcia-Zurdo · 2019
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Style augmentation: data augmentation via style randomization
Philip TG Jackson, Amir Atapour Abarghouei, Stephen Bonner, Toby P Breckon, and Boguslaw Obara · 2019
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Text2facegan: Face generation from fine grained textual descriptions
Osaid Rehman Nasir, Shailesh Kumar Jha, Manraj Singh Grover, Yi Yu, Ajit Kumar, and Rajiv Ratn Shah · 2019
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Semantic image synthesis with spatially-adaptive normalization
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, and Jun-Yan Zhu · 2019
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Joint face super-resolution and deblurring using a generative adversarial network
Jung Un Yun and In Kyu Park · 2019
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Learning digital camera pipeline for extreme low-light imaging
Syed Waqas Zamir, Aditya Arora, Salman Khan, Fahad Shahbaz Khan, and Ling Shao · 2019
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Tarsier: Evolving noise injection in super-resolution gans
Baptiste Roziere, Nathanal Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, and Olivier Teytaud · 2020
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Evolgan: Evolutionary generative adversarial networks
Baptiste Roziere, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jeremy Rapin, Mariia Zameshina, and Olivier Teytaud · 2020
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