Learning 3D-Aware Generative Adversarial Networks from Unposed Images with Template Feature Field

We propose to learn a 3D semantic template feature field along with the generative model, enabling efficient on-the-fly pose estimation of training images to facilitate 3D-aware GAN training from unposed images.