Computer Vision • Generative 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 | 1204 | |
2017 | 346 | |
2018 | 252 | |
2019 | 175 | |
2018 | 135 | |
2016 | 105 | |
2018 | 101 | |
2017 | 90 | |
2015 | 75 | |
2016 | 32 | |
2020 | 28 | |
2016 | 27 | |
2016 | 18 | |
2016 | 14 | |
2018 | 12 | |
2017 | 12 | |
2017 | 11 | |
2017 | 11 | |
2018 | 11 | |
2019 | 6 | |
2018 | 5 | |
2015 | 4 | |
2019 | 4 | |
2000 | 4 | |
2019 | 3 | |
2016 | 3 | |
2020 | 3 | |
2021 | 3 | |
2020 | 2 | |
2020 | 2 | |
2020 | 2 | |
2021 | 2 | |
2019 | 1 | |
2019 | 1 | |
2020 | 1 | |
2021 | 1 | |
2020 | 1 | |
2021 | 1 | |
2020 | 1 | |
2021 | 1 | |
2021 | 1 | |
2020 | 1 | |
2000 | 1 |