Evolution of Face Generation |  Evolution of GANs
Channel: CodeEmporium
Date: 2019-01-20

Generating Fake faces in photos and videos has become prevalent in last few years (cough) Deep Fakes (cough). It's come to a point where we can't tell if photos and videos contain real people. It's fascinating (and scary?) ! But how did we get here? What is the technology behind these eerily real faces?

The main Technology behind this phenomenon are "Generative Adversarial Networks". Let's talk about them. 

REFERENCES
[1] The OG GAN : https://arxiv.org/abs/1406.2661
[2] Deep Convolutional GAN (DCGAN): https://arxiv.org/abs/1511.06434
[3] Coupled GANs: https://arxiv.org/abs/1606.07536
[4] Progressively growing GAN: https://arxiv.org/abs/1710.10196
[5] Style-Transfer GAN: https://arxiv.org/abs/1812.04948
[6] DeepFakes - Real Consequences (ColdFusion): https://www.youtube.com/watch?v=dMF2i3A9Lzw 
[7] First paper on Neural Networks: http://www.cse.chalmers.se/~coquand/AUTOMATA/mcp.pdf 
[8] How fast processing power increased over the years: https://www.eetimes.com/author.asp?section_id=36&doc_id=1330462
[9] Deep Learning Vs Classical Machine Learning
[10] Neural Networks in Security Systems: https://ieeexplore.ieee.org/document/8268746 
[11] State of the Art Neural Networks for Image Captioning: https://cs.stanford.edu/people/karpathy/sfmltalk.pdf
[12] Applications of Neural Networks: https://arxiv.org/pdf/1803.01164.pdf 
[13] Build a Music & Text Generator: https://towardsdatascience.com/deep-learning-with-tensorflow-part-3-music-and-text-generation-8a3fbfdc5e9b 
[14] CycleGANs: https://arxiv.org/pdf/1703.10593.pdf