Make Some Noise for Score Based Models

Blob Pitt's next big blockbuster Generative models have reached remarkable capabilities in applying machine learning to synthesize original instances after learning a data distribution. In the arena of image generation, the recent SOTA tracks alongside advances in a family of models called generative adversarial networks or GANs. This technique introduces to the generator network a corrective signal when its samples are not photorealistic, accomplished with the use of a jointly-trained classifier, dubbed the discriminator....

 · 4 min · Terry Rodriguez & Salma Mayorquin