Amazon’s AI generates images of clothing to match text queries Kyle Wiggers
Generative adversarial networks (GANs) two-part AI models consisting of a generator that creates samples and a discriminator that attempts to differentiate between the generated samples and real-world samples have been applied to tasks ranging from video, artwork, and music synthesis to drug discovery and misleading media detection. They’ve also made their way into ecommerce, as Amazon revealed in a blog post this morning. Scientists at Amazon describe a GAN that generates clothing examples to match product descriptions, which they say could be used to refine customer text queries. For instance, if a shopper searched for “women’s black pants” and then add the word “petite” and then the word “capri,” the on-screen images would adjust accordingly with each new word.
