Using GAN to generate leaf images
Generative Adversarial Network (GAN) was proposed in 2014 by Goodfellow et al. It can generate very realistic synthetic images, making the generated images and the real images almost indistinguishable in statistics. An intuitive understanding of generative adversarial network is that if a forger forges some cat pictures, at first the forger is not familiar with […]