Three-stage ceramic tile image generation method based on GAN network structure

The invention provides a three-stage tile image generation method based on a GAN network structure. The method comprises the following steps: firstly, inputting feature vectors, generating an adversarial network through a multi-scale gradient style, and converting the feature vectors into grayscale image blocks for output; secondly, generating a feature vector according to an input sample image, searching a texture synthesis generative adversarial network model which is most conforming to a condition in a style pool based on a KNN algorithm, and inputting a gray level image block into the adversarial network model to generate a tile style image; and finally, carrying out image amplification and cutting on the tile style image based on a bicubic interpolation algorithm to realize generation of a final tile image. Compared with the one-step generation of the tile image based on the GAN network model, the cost of computing resources is reduced in the tile image training and generating process. Besides, the outpu