Using Conditional Deep Convolutional GANs to Generate Custom Faces from Text Descriptions

The code for this project can be found at: https://github.com/evanhu1/pytorch-CelebA-faCeGAN

GANs (Generative Adversarial Networks) are a subset of unsupervised learning models that utilize two networks along with adversarial training to output “novel” data which resembles the input data. More specifically, GANs typically involve “a generative model G that captures the data distribution, and a discriminative model D that estimates the probability that a sample came from the…