Too Long; Didn't Read
Happy New Year! In this first post of 2017 I wanted to do something fun and a little different, and momentarily switch gears away from RL to generative networks. I have been working with a Generative Adversarial Network called <a href="https://arxiv.org/abs/1611.07004" target="_blank">Pix2Pix</a> for the past few days, and want to share the fruits of the project. This framework comes from the paper “<em>Image-to-Image Translation with Conditional Adversarial Networks</em>” recently out of Berkeley. Unlike vanilla GANs, which take noise inputs and produce images, Pix2Pix learns to take an image and translate it into another image using an adversarial framework. Examples of this include turning street maps into aerial photography, drawings into photographs, and day photos into night photos. Theoretically, translation is possible between any two images which maintain the same structure.