Advances in Generative Adversarial Network (GAN)

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Announcements

- This repository provides references to recent advances in generative adversarial networks (GANs), and will be updated once every month with the hope of expediting the development of this field.

- The main content of his repository consists of three components: (1) empirical advances section which contains references to empirical investigations of GANs such as different GAN architectures and different training techniques; (2) theoretical advances section which contains references to theoretical studies of GANs such as performance guarantees for stabilities; (3) applications section which contains references to applications of GAN in different fields such as medical image processing and adversarial attacks.

- This repository won't be possible without the efforts from many contributors who are listed in the end. If you want to contribute to this repository, you can simply put the reference information in the comment for this repository or send us an email. Please follow the following formats to help us: (1) send emails to yijirong@hotmail.com ; (2) set the email title as "Refrences_GAN_Institute"; (3) set the references format as Vancouver (available in Google Scholar) with hyperlinks to the reference and its implementation (if it's available), i.e.,

Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A. and Bengio, Y., 2014. Generative adversarial nets. In Advances in neural information processing systems (pp. 2672-2680). Github

 

- If you have any constructive suggestions, please leave them as comments to this repository.

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Tutorial and Reviews

- Yinka-Banjo C, Ugot OA. A review of generative adversarial networks and its application in cybersecurity. Artificial Intelligence Review. 2019 Jun 1:1-6.

- Wang Z, She Q, Ward TE. Generative adversarial networks in computer vision: A survey and taxonomy. arXiv preprint arXiv:1906.01529. 2019 Jun 4.

- Lee M, Seok J. Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies. arXiv preprint arXiv:2005.09165. 2020 May 19.

- Lan L, You L, Zhang Z, Fan Z, Zhao W, Zeng N, Chen Y, Zhou X. Generative Adversarial Networks and Its Applications in Biomedical Informatics. Frontiers in Public Health. 2020 May 12;8:164.

- Gui J, Sun Z, Wen Y, Tao D, Ye J. A review on generative adversarial networks: Algorithms, theory, and applications. arXiv preprint arXiv:2001.06937. 2020 Jan 20.

- Ou Z. A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling. arXiv preprint arXiv:1808.01630. 2018 Aug 5.

- Di Mattia F, Galeone P, De Simoni M, Ghelfi E. A survey on gans for anomaly detection. arXiv preprint arXiv:1906.11632. 2019 Jun 27.

- Yi X, Walia E, Babyn P. Generative adversarial network in medical imaging: A review. Medical image analysis. 2019 Dec 1;58:101552.

- Creswell A, White T, Dumoulin V, Arulkumaran K, Sengupta B, Bharath AA. Generative adversarial networks: An overview. IEEE Signal Processing Magazine. 2018 Jan 10;35(1):53-65.

- Goodfellow I. NIPS 2016 tutorial: Generative adversarial networks. arXiv preprint arXiv:1701.00160. 2016 Dec 31.

 

To Be Added

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Empirical Advances

To Be Added

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 Theoretical Advances

To Be Added

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Applications

To Be Added

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Contributors

This repository will be impossible without the contributions from the following:

* UserID, Affiliation, contributing since, number of reference contribution

- 科研民工，University of Iowa, 20200708

- Hunter, Harbin Engineering University, 20200708

- James, Southern University of Science and Technology, 20200708

- 世界花式抖腿冠军，Ecole Polytechnique Fédérale de Lausanne, 20200708

- Catherine, California Institute of Technology, 20200708

- April, Cornell University, 20200708

- Michael, Pennsylvania State University, 20200708

To Be Added

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References

- The GAN Zoo

- All about the GANs