Category: references

AI is learning how to invent new fashions

In a paper published on the ArXiv, researchers from the University of California and Adobe have outlined a way for AI to not only learn a person’s style but create computer-generated images of items that match that style. This kind of computer vision task is being called “predictive fashion” and could let retailers create personalized pieces of clothing.

The model can be used for both personalized recommendation and design. Personalized recommendation is achieved by using a ‘visually aware’ recommender based on Siamese CNNs; generation is achieved by using a Generative Adversarial Net to synthesize new clothing items in the user’s personal style. (Kang et al., 2017).
Reference: Kang, Wang-Cheng, Chen Fang, Zhaowen Wang, and Julian McAuley. “Visually-Aware Fashion Recommendation and Design with Generative Image Models.” arXiv:1711.02231 [Cs], November 6, 2017. http://arxiv.org/abs/1711.02231.