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Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

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Authors: Michael Tschannen, Olivier Bachem, Mario Lucic
Year: 2014
Journal: IEEE Transactions on Signal Processing
DOI: 10.48550/arXiv.1511.06434
Publisher: https://arxiv.org/abs/1511.06434

Keywords: dcgan, gan, image generation

Abstract

We introduce a class of CNNs called deep convolutional generative adversarial networks whose architecture is a stable version of GAN.

Cite this paper

bibtex
@misc{dcgan2014,
  title  = {Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks},
  author = {Michael Tschannen, Olivier Bachem, Mario Lucic},
  year   = {2014},
  journal = {IEEE Transactions on Signal Processing},
  doi    = {10.48550/arXiv.1511.06434},
  url    = {https://doi.org/10.48550/arXiv.1511.06434},
}

Source files

Released under the MIT License.