Before revision:  To ad-dress these issues, we propose a method to generate syntheticimages from existing categorical emotion datasets using facemorphing, with full control over the resulting sample distri-bution as well as dimensional labels in the circumplex space  , while achieving augmentation factors of at least 20x or more.
After revision:  To ad-dress these issues, we propose a method to generate synthetic images from existing categorical emotion datasets using facemorphing, with full control over the resulting sample distri-bution as well as dimensional labels in the circumplex space , while achieving augmentation factors of at least 20x or more.