Emil Mikhailov is the founder of XIX.ai (YC W17). Roman Trusov is a researcher at XIX.ai.

** Nuit Blanche is now on Twitter: @NuitBlog ** Dhruv let me know of the following Hi Igor, I hope you're doing well. Thanks for posting latest articles and relevant information on your blog. I'm a regular reader of it and really enjoy it.

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When Ian Goodfellow dreamt up the idea of Generative Adversarial Networks (GANs) over a mug of beer back in 2014, he probably didn’t expect to see the field advance so fast: In case you don’t see where I’m going here, the images you just saw were utterly, undeniably, 100% … fake.

Here we are in 2019, where we keep seeing State-Of-The-Art (from now on SOTA) classifiers getting published every day; some are proposing entire new architectures, some are proposing tweaks that are needed to train a classifier more accurately.

What we’d like to find out about GANs that we don’t know yet. By some metrics, research on Generative Adversarial Networks (GANs) has progressed substantially in the past 2 years. Practical improvements to image synthesis models are being made almost too quickly to keep up with:

I bet most of us have seen a lot of AI-generated people faces in recent times, be it in papers or blogs. We have reached a stage where it is becoming increasingly difficult to distinguish between actual human faces and faces that are generated by Artificial Intelligence.

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This post is part of the "superblog" that is the collective work of the participants of the GAN workshop organized by Aggregate Intellect. This post serves as a proof of work, and covers some of the concepts covered in the workshop in addition to advanced concepts pursued by the participants.