Generative Adversarial Nets
Citations
11,958 citations
Cites background or methods from "Generative Adversarial Nets"
...Fortunately, this is exactly what is done by the recently proposed Generative Adversarial Networks (GANs) [22, 12, 41, 49, 59]....
[...]
...Figure 1 of the original GAN paper [22])....
[...]
...An adversarial loss, on the other hand, can in principle become aware that grayish outputs are unrealistic, and encourage matching the true color distribution [22]....
[...]
...To optimize our networks, we follow the standard approach from [22]: we alternate between one gradient descent step on D, then one step on G....
[...]
...GANs are generative models that learn a mapping from random noise vector z to output image y, G : z → y [22]....
[...]
11,682 citations
11,127 citations
10,913 citations
8,730 citations
References
73,978 citations
42,067 citations
20,769 citations
"Generative Adversarial Nets" refers methods in this paper
...Kingma and Welling [18] and Rezende et al. [23] use stochastic backpropagation to train variational autoencoders (VAEs)....
[...]
...We were unaware at the time we developed this work that Kingma and Welling [18] and Rezende et al. [23] had developed more general stochastic backpropagation rules, allowing one to backpropagate through Gaussian distributions with finite variance, and to backpropagate to the covariance parameter as well as the mean....
[...]
...We were unaware at the time we developed this work that Kingma and Welling [18] and Rezende et al....
[...]
...Kingma and Welling [18] and Rezende et al....
[...]
15,055 citations
"Generative Adversarial Nets" refers background in this paper
...Deep belief networks (DBNs) [16] are hybrid models containing a single undirected layer and several directed layers....
[...]
...An alternative to directed graphical models with latent variables are undirected graphical models with latent variables, such as restricted Boltzmann machines (RBMs) [27, 16], deep Boltzmann machines (DBMs) [26] and their numerous variants....
[...]
15,005 citations