Computer Vision • Generative Models • 48 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 | 1212 | |
2017 | 385 | |
2018 | 288 | |
2018 | 138 | |
2016 | 125 | |
2018 | 103 | |
2017 | 94 | |
2015 | 81 | |
2019 | 54 | |
2016 | 34 | |
2020 | 33 | |
2016 | 28 | |
2016 | 18 | |
2017 | 15 | |
2016 | 14 | |
2018 | 12 | |
2017 | 12 | |
2017 | 11 | |
2018 | 11 | |
2019 | 6 | |
2018 | 6 | |
2015 | 4 | |
2019 | 4 | |
2000 | 4 | |
2019 | 3 | |
2016 | 3 | |
2020 | 3 | |
2021 | 3 | |
2020 | 2 | |
2020 | 2 | |
2020 | 2 | |
2021 | 2 | |
2021 | 2 | |
2019 | 1 | |
2019 | 1 | |
2020 | 1 | |
2021 | 1 | |
2020 | 1 | |
2020 | 1 | |
2021 | 1 | |
2021 | 1 | |
2020 | 1 | |
2000 | 1 | |
2024 | 1 |