GAN-Generated Face Features Dataset based on Cross-Band Co-occurrences

Last-generation GAN models allow generating synthetic images that are visually indistinguishable from natural ones, raising the need to develop tools to distinguish fake and natural images thus contributing to preserving the trustworthiness of digital images. One method recently used for distinguishing GAN-generated from natural images by exploiting inconsistencies among spectral bands, with a specific focus on the generation of synthetic face images. The dataset consists of cross-band co-occurrence matrices, in addition to spatial co-occurrence matrices and without a cross band. If you use a dataset and code please use one of the following corresponding citation (https://arxiv.org/abs/2007.12909).