Researchers from Waseda University in Japan developed a deep learning-based method that removes unwanted objects from images and can complete images by filling-in missing regions. Image completion is a challenging problem because it requires a high-level recognition of scenes. “To train this image completion network to be consistent, we use global and local context discriminators