Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning
We propose an approach for face image generation of virtual people with disentangled, precisely-controllable latent representations for identity of non-existing people, expression, pose, and illumination. We embed 3D priors into adversarial learning and train the network to imitate the image formation of an analytic 3D face deformation and rendering process. …