Some cool GAN applications
We have established that the generator learns how to forge data. This means that it learns how to create new synthetic data which is created by the network and looks real and created by humans. Before going into details about the GAN code, I'd like to share the results of a recent paper (code is available online https://github.com/hanzhanggit/StackGAN ) in which a GAN was used to synthesize forged images starting with a text description. The results were impressive. The first column is the real image in the test set and all the other columns are the images generated from the same text description in Stage-I and Stage-II of StackGAN. More examples are available on YouTube (https://www.youtube.com/watch?v=SuRyL5vhCIM&feature=youtu.be ...
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