CVPR18: Tutorial: Part 1: Generative Adversarial Networks

Organizers: Jun-Yan Zhu Taesung Park Mihaela Rosca Phillip Isola Ian Goodfellow. Description: Generative adversarial networks (GANs) have been at the forefront of research on generative models in the last couple of years. GANs have been used for image genera-tion, image processing, image synthesis from captions, image editing, visual domain adaptation, data generation for visual recognition, and many other applications, often leading to state of the art results. This tutorial aims to provide a broad ove