[Research] [1610.09585] Conditional Image Synthesis With Auxiliary Classifier GANs • /r/MachineLearning

From the team that brought you the Deconv Checkerboard Artifacts article. This is an idea which I (and I wouldn't be surprised if many others) have thought of before, but never thought it would actually improve results--I'm glad that these guys pursued it and used it to good effect. I'm impressed, but not sure that I'm entirely sold: browsing through the full set of samples, it seems that it doesn't work any better than any other Imagenet GAN for a pretty large majority of classes. This looks more representative of most of the classes, but the fact that they're getting global coherence on some of the classes (it seems to like hotdogs/vegetables and flowers) suggests that this is a worthwhile track to pursue. I'll be throwing a celebA experiment in the blender after the ICLR deadline, keen to see how it turns out with facial attribute labels.