A method of generating abstract ink paintings based on machine learning

Abstract

The advancement of computer technology in the area of image generation opens up opportunities for the creation of art. However, owing to the complexity of artistic expression and the difficulty of data collection, generating abstract ink paintings from photos remains a big challenge. This paper proposed a method of machine learning to generate abstract ink paintings. First, a dataset consisting of photos and Chinese abstract ink paintings is collected. Then, the statistical information of photos is obtained by using color segmentation to draw abstract images. On the unpaired dataset, an imageto-image translation network with contrastive learning is trained to learn a mapping from abstract images to abstract ink paintings. Experiments showed that this method can effectively realize the process of generating abstract ink paintings from photos.