“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.
In experiments, the team reports that ReStGAN improved product classification by type up to 22% and gender up to 27%, compared with the previous best-performing models based on the StackGAN architecture. Color improved 100%.”
Vue.ai – https://vue.ai
