A Dual Discriminator Adversarial Learning Approach for Dental Occlusal Surface Reconstruction

Figure 5

Proposed dental restoration network: (a) generator network; (b) global discriminator network; and (c) local discriminator network. The global discriminator takes the entire occlusal surface image as input, while the local discriminator takes only a small region around the missing tooth as input. Note. n and k refer to number of feature maps and kernel size, respectively.