Posted on July 16, 2019
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On the “steerability” of generative adversarial networks
This is a cool paper. We’ve seen lots of generative work from “Generative Adversarial Networks (GANs)”. In this work, they explore how “controllable” such networks are. I.e., can we generate a picture of a dog, and then zoom in on it’s face? Can we generate a building and change it from night to day? They perform some investigations in this area, and show that there is lots to be done, but solving these kinds of problems will become very important as we see these generative networks used more widely.
