LoGAN: Generating Logos with a Generative Adversarial Neural Network Conditioned on color

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T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen, “Improved techniques for training gans,” in Advances in Neural Information Processing Systems , 2016, pp. 2234–2242

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2017

Later among the works it cites.

A. Sage, E. Agustsson, R. Timofte, and L. Van Gool, “Lld - large logo dataset - version 0.1,” https://data.vision.ee.ethz.ch/cvl/lld, 2017

2017

Later among the works it cites.

V. Volz, J. Schrum, J. Liu, S. M. Lucas, A. M. Smith, and S. Risi, “Evolving mario levels in the latent space of a deep convolutional generative adversarial network,” in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2018) . New York, NY, USA: ACM, July 2018. [Online]. Available: http://doi.acm.org/10.1145/3205455.3205517

2018

Closest in time.