InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

Benchmark Model Rank Results
image-generation-on-cub-128-x-128InfoGAN#3FID: 13.20Inception score: 47.32
image-generation-on-stanford-carsInfoGAN#3FID: 17.63Inception score: 28.62
image-generation-on-stanford-dogsInfoGAN#3FID: 29.34Inception score: 43.16
unsupervised-image-classification-on-mnistInfoGAN#8Accuracy: 95