tokens: The observation can be interpreted as the fact that 1 ) AE is specifically trained to reduce the Chamfer loss , thus performs better in terms of the particular loss , while RL - GAN - Net jointly considers Chamfer loss , latent space and discriminator losses , and 2 ) has points that are exactly aligned with the GT , which , when averaged , compensates errors from missing regions .