Outside the Box: New Style Discovering via Generative Adversarial Network for Shoes Design
Haoting Li, Wen-Hsiu Yang, Chen-Kuo Chiang · 2020
In this paper, a GAN-based method to discover new style without manually labelling for styles. The experimental results show that we can successfully generate creative sneakers on the shoes dataset, which can be used as an inspiration-provider for shoe designers.