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Dear Fellow Scholars, this is Two Minute Papers with Dr. Kroly Zsolnai-Fehr. Today, we will see how a small change to an already existing learning-based technique can result in a huge difference in its results. This is StyleGAN2, is a technique that appeared in December of 2019. It is a neural network-based learning algorithm that is capable of synthesizing these eye-poppingly detailed images of human beings that dont even exist. This is all synthetic. It also supports a cool feature where we can give it a photo, then, it embeds this image into a latent space, and in this space, we can easily apply modifications to it. Okaybut what is this latent space thing? A latent space is a made-up place where we are trying to organize data in a way that similar things are close to each other. In our earlier work, we were looking to generate hundreds of variants of a material model to populate this scene. In this latent space, we can concoct all of these really cool digital material models. A