Generative Adversarial Networks

Computer VisionGenerative Models • 37 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
2018 138
2018 103
2017 95
2019 50
2016 35
2020 33
2016 18
2016 15
2018 12
2017 12
2017 11
2018 11
2019 6
2018 6
2015 5
2019 4
2000 4
2019 3
2020 3
2020 2
2020 2
2021 2
2021 2
2019 1
2019 1
2021 1
2020 1
2020 1
2021 1
2021 1
2020 1
2000 1
2024 1