The unreasonable effectiveness of Generative Adversarial Networks

Andrej Karpathy wrote this landmark post about the Unreasonable effectiveness of RNNs.

Generative Adversarial Networks, or GANs for short, also seem more powerful than they should be. This technique feels gimmicky: we create a generator and a discriminator network, and then we have them fool one another… And yet, the results are so great, they are hard to believe.

3 variations of this idea:

• the InfoGAN that I covered in a previous post
• the 3dGAN. paper here
• the StackGAN

Both 3dGAN and stackGAN have been covered by two Minute Papers:

• video for 3dGAN
• video for StackGAN

More about GANs: original paper, tutorial