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Last year, Yang Song, a graduate student at Stanford, showed an entirely new way of generating data based on denoising score matching with Annealed Langevin sampling (DSM-ALS). The paper showed that a non-adversarial approach could reach levels similar to GANs (FID of 25, which is what Relativistic GANs reached two years ago). Surprisingly, the paper received little to no attention in the research
Alexia Jolicoeur-Martineau Data scientist, Statistician or Computer scientist (Pick one) I experimented with generating faces of cats using Generative adversarial networks (GAN). I wanted to try DCGAN, WGAN and WGAN-GP in low and higher resolutions. I used the CAT dataset (yes this is a real thing!) for my training sample. This dataset has 10k pictures of cats. I centered the images on the kitty f
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