Generate the corresponding Image from Text Description using Modified GAN-CLS Algorithm

Understand

Synthesizing images or texts automatically is a useful research area in the artificial intelligence nowadays.

• Generative adversarial networks (GANs), which are proposed by Goodfellow in 2014, make this task to be done more efficiently by using deep neural networks.
• We consider generating corresponding images from an input text description using a GAN.
• In this paper, we analyze the GAN-CLS algorithm, which is a kind of advanced method of GAN proposed by Scott Reed in 2016.