Artificial Intelligence rapid image generation method using Meta-learning Generative adversarial network

摘要

The present invention relates to a method for generating an image of artificial intelligence using a meta-learned generative adversarial network. The present invention consists of a generator that learns and generates the image and a discriminator that distinguishes the image generated by the generator, and a GAN that repeatedly updates the generator and the discriminator and the updated GAN It includes an mtGAN made by meta-updating learning, and iteratively training the learned mtGAN to generate a desired image.