Image Inpainting with Deep Learning – JamieAi – Medium

In this approach, we rely on the hallucinations of pre-trained neural networks to fill large holes in images. Deep neural networks use supervised image classification. In supervised image classification, each image has a specific label, and neural networks are learned to approximate the image-label mapping through a cascade of elementary operations. When trained on huge training datasets (millions of images with thousands of labels), deep networks have remarkable classification performance that can occasionally surpass the human accuracy. A Discriminative pre-trained neural network is implemented to guide the image reconstruction where directly the last layer of the deep network is used in the image inpainting problem.