In this tutorial, we show how to construct the pix2pix generative adversarial from scratch in TensorFlow, and use it to apply image-to-image translation of satellite images to maps.
This is a guide for using StyleGAN2 with Gradient Workflows to generate novel images.
In this article, we discuss how to run Gradient Workflows with GPT-2 to generate novel text.
In this post we cover how to tackle common training issues that may arise with GauGAN. We conclude with advice on whether GauGAN will fit your business needs or not.
In Part 3 of the GauGAN series we cover how to evaluate model performance, and how GauGAN compares to models like Pix2PixHD, SIMS, and CRN.
In this article we cover how to train GauGAN on your own custom dataset. This is part of a series on Nvidia GauGANs.
In this article we explain what GauGANs are, and how their architecture and objective functions work. This is part of a series on Nvidia GauGANs.
From deepfakes and virtual celebrities to "fake news," we'll cover popular cases of media synthesis and the research publications detailing how it's done.
