The closest thing you could do is e.g. have a second model that does something novel like create a 3D model from a 2D image and then you try to animate the model and a third model verifies the quality of the output. This then allows you to selectively reinforce the 2D model using information from the 3D model but this isn't simply generating more training data.
I honestly can't follow your argument. Doing something silly doesn't make you the underdog.