ML PAPER: PROGRESSIVE GANs — TL;DR

Research paper: “PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION

Paper published — 26th Feb 2018— by Nvidia

Disclaimer: These are just notes and lot of the text is taken from the paper.

They 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, they add new layers that model increasingly fine details as training progresses. This both speeds the training up and greatly stabilizes it, allowing it to produce images of unprecedented quality.

Image Taken from the Research Paper

24. CIFAR10 RESULTS — no data augmentation used

25. Datasets trained/tested on — CELEBA-HQ, LSUN, CIFAR10, MNIST-1K

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