RATING OF GENERATORS FOR GENERATING REALISTIC IMAGES

A method for quantitatively rating a trained generator that generates, from an input vector from a predetermined input distribution in connection with a target segmentation map, an image whose semantic content is in line with this target segmentation map. The method includes: drawing at least one input vector from the predetermined input distribution; drawing at least one list of classes from a predetermined class distribution; determining a target segmentation map, which assigns classes from this list of classes to the pixels of the image to be generated; generating, by means of the generator, an image from the input vector and the target segmentation map; determining a semantic segmentation map of the image by means of an image classifier; determining, using a predetermined metric, the degree of matching between this semantic segmentation map and the target segmentation map; determining, using this degree of matching, the quantitative rating of the generator.