Examining performance of sketch-to-image translation models with multiclass automatically generated paired training data
Examining performance of sketch-to-image translation models with multiclass automatically generated paired training data
Image translation is a computer vision task that involves translating one representation of the scene into another. Various approaches have been proposed and achieved highly desirable results. Nevertheless, its accomplishment requires abundant paired training data which are expensive to acquire. Therefore, models for translation are usually trained on a set …