Análise de redes neurais adversariais generativas para a geração de imagens sint ́eticas

Authors

  • Marcus V. D. Zuba DECOM-CEFET-MG
  • Rogério M. Gomes DECOM-CEFET-MG
  • Bruno A. Santos DECOM-CEFET-MG

Abstract

As Generative Adversarial Networks (GANs) ou redes neurais adversariais generativas, são modelos de redes neurais artificiais que tˆem sido usadas na geração de instâncias sintéticas dedados, incluindo imagens, vídeos, textos, entre outras. [...]

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References

Goodfellow, I. J., Pouget-Abadie, J., Mirza M., Xu, B., Warde-Farley D., Ozair S., CourvilleA., and Bengio Y. Generative adversarial nets.stat, 1050:10, 2014.

Radford A., Metz L., and Chintala S. Unsupervised representation learning with deep convo-lutional generative adversarial networks.arXiv preprint arXiv:1511.06434, 2015.

Brock, A., Donahue, J. and Simonyan, K. Large scale gan training for high fidelity naturalimage synthesis. InInternational Conference on Learning Representations, 2018.

Published

2021-12-20

Issue

Section

Resumos