CycleGAN -based Cloud2painting Translation

Abstract

Image2image translation is one of the most popular image processing tasks. In this work, we use the powerful CycleGAN model and some traditional image processing technology to transform images of cloud into sketch portraits of specific objects. Precisely, this work extract the outer contour of the cloud and use the trained CycleGAN model to transform the outer contour into a specific image (taking the sketch of fish as an example) and the output of the model shows its good translation effect. Moreover, this work set the images of cloud without contour extraction as the control group, which proves the necessity of our preprocessing technology.