Computer Vision • Generative Models • 10 methods
Likelihood-based Generative Models are a class of generative model that model the distribution of the data $p\left(y\right)$ directly with a likelihood function. The most popular subclass of likelihood-based generative models is variational autoencoders.
Method | Year | Papers |
---|---|---|
2013 | 1045 | |
2017 | 140 | |
2018 | 47 | |
2016 | 41 | |
2017 | 27 | |
2016 | 17 | |
2014 | 17 | |
2019 | 5 | |
2020 | 5 | |
2016 | 4 |