261 citations · 497 across the 10 of their papers we have counts for
1 paper · 1 filter
Edward Smith, David Meger
This paper describes a new approach for training generative adversarial networks (GAN) to understand the detailed 3D shape of objects. While GANs have been used in this domain prev…