Generative Adversarial Networks

Computer VisionGenerative Models • 47 methods

Generative Adversarial Networks (GANs) are a type of generative model that use two networks, a generator to generate images and a discriminator to discriminate between real and fake, to train a model that approximates the distribution of the data. Below you can find a continuously updating list of GANs.

Method Year Papers
2014 1187
2017 269
2018 193
2019 130
2017 81
2018 80
2016 71
2015 67
2018 65
2016 28
2016 27
2016 18
2016 14
2020 12
2017 11
2018 11
2017 10
2018 10
2019 6
2017 6
2015 4
2018 4
2019 3
2019 3
2016 3
2000 3
2020 2
2020 2
2021 2
2019 1
2019 1
2020 1
2020 1
2021 1
2020 1
2020 1
2021 1
2020 1
2021 1
2021 1
2021 1
2020 1
2000 1