This repository contains the official implementation of a deep generative model paper for image blending tasks. The algorithm takes a source image, destination image, and mask as input, then uses a Wasserstein GAN trained on blended images to produce photorealistic high-resolution composites. It was published as an oral presentation at ACMMM 2019.