Figure5

Figure 5. Overview of the GDES method. The discriminator embedding ($$ \mathbf{E}_D $$) is formed by stopping gradients for the generator embedding ($$ \mathbf{E}_G $$) while allowing updates to the residual embedding ($$ \mathbf{E}_\triangle $$). GDES: Gradient-disentangled embedding sharing.