Earned the first bronze medal on Kaggle (Generative Dog Images competition).
It was a great opportunity to deep dive into GANs (generative adversarial networks), and generate some dogs images! My solution was pretty simple, just DCGAN with a couple of tricks.
Participants discovered interesting techniques to squeeze into time limits and generate plausible pictures with small resources. Check the top solutions, they generate much better results using tuned Big/Style GAN architectures.
Probably this competition is not the most useful in the world, but definitely could help to emerge some advances in GANs training and architectures, I believe. So probably such interesting applications of these networks like GauGAN eventually become less computationally expensive and more accessible for the community of researchers.