Two Universal Learnig Frameworks Based on TL-GAN

When generative adversarial networks (GAN) have just become popular, many GAN models have room for expansion. Firstly, this paper introduced document text localization generation adversarial network (TL-GAN), a deep neural network used to perform text localization from digital images. Furthermore, this paper conducts corresponding research on the TL-GAN algorithm, innovating the application of TL-GAN from two aspects. By analyzing the TL-GAN framework, it can generate any image. At the same time, based on its fuzzy characteristic axis, the internal logic algorithm of TL-GAN is studied through the analysis of the results.