Supplementary Material for Efficient Generation of Structured Objects with Constrained Adversarial Networks Luca Di Liello University of Trento Pierfrancesco Ardino University of Trento Jacopo Gobbi

Neural Information Processing Systems 

This work was partially carried out when PM was working at the University of Trento. Figure 1 shows the various parts composing a pipe and their disposition. Notice that first two indexes describe the position, e.g. Results are obtained by evaluating a batch of 5000 generated samples.