A computer-implemented method of machine-learning. The method includes obtaining a Variational Auto-encoder architecture for a neural network which is configured to take as an input a 2D sketch and a random variable, and to output a 3D model represented by the 2D sketch. The method of machine-learning also includes teaching the neural network.