Add StyleGAN2 link

README.md

@@ -15,9 +15,10 @@ This repository contains the official TensorFlow implementation of the following
 >
 > **Abstract:** *We propose an alternative generator architecture for generative adversarial networks, borrowing from style transfer literature. The new architecture leads to an automatically learned, unsupervised separation of high-level attributes (e.g., pose and identity when trained on human faces) and stochastic variation in the generated images (e.g., freckles, hair), and it enables intuitive, scale-specific control of the synthesis. The new generator improves the state-of-the-art in terms of traditional distribution quality metrics, leads to demonstrably better interpolation properties, and also better disentangles the latent factors of variation. To quantify interpolation quality and disentanglement, we propose two new, automated methods that are applicable to any generator architecture. Finally, we introduce a new, highly varied and high-quality dataset of human faces.*
 
-For business inquiries, please contact [[email protected]](mailto:[email protected])
+For business inquiries, please contact [[email protected]](mailto:[email protected])<br>
+For press and other inquiries, please contact Hector Marinez at [[email protected]](mailto:[email protected])<br>
 
-For press and other inquiries, please contact Hector Marinez at [hmarinez@nvidia.com](mailto:hmarinez@nvidia.com)
+**&#9733;&#9733;&#9733; NEW: StyleGAN2 is available at [https://github.com/NVlabs/stylegan2](https://github.com/NVlabs/stylegan2) &#9733;&#9733;&#9733;**
 
 ## Resources