Generative Adversarial Networks

Computer VisionGenerative Models • 46 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 1176
2017 206
2018 110
2019 69
2017 67
2018 62
2015 56
2016 52
2018 50
2016 23
2016 23
2016 15
2017 10
2018 10
2016 10
2017 8
2018 8
2019 5
2015 4
2018 4
2017 4
2019 3
2016 3
2000 3
2019 2
2020 2
2020 2
2020 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
2021 1
2020 1