1. In a digital medium environment to predict pixel values of a missing region in an image, a method implemented by at least one computing device, the method comprising: obtaining, by the at least one computing device, an image pair including first and second images; corrupting, by the at least one computing device, the first image by removing a region of content to produce a corrupted first image having a missing region; generating, by the at least one computing device, a training-image pair including the corrupted first image and the second image of the image pair; and training, by the at least one computing device, a model using machine learning on a plurality of training-image pairs including the training-image pair, the model trained to predict pixel values of pixels within a subsequent missing region of a subsequent image that is not used as part of the training.