Progressive Growing of GANs for Improved Quality, Stability, and Variation
international conference on learning representations, 2018.
We describe a new training methodology for generative adversarial networks. The key idea is to grow both the generator and discriminator progressively: starting from a low resolution, we add new layers that model increasingly fine details as training progresses. This both speeds the training up and greatly stabilizes it, allowing us to pr...More
PPT (Upload PPT)