The cookie-related information is fully under our control. These cookies are not used for any purpose other than those described here. Unibo policy
We present a novel approach for image completion that results in images that are both locally and globally consistent. In the popular adversarial network scheme, we train an image completion network as well as two---global and local---context discriminator networks. The image completion network is trained to fill-in the missing regions in the input image to fool the discriminators, which are in turn trained to distinguish real images from completed ones.