🧿 Generative Multiplane Images: Making a 2D GAN 3D-Aware What is really needed to make an existing 2D GAN 3D-aware? To answer this question, we modify a classical GAN, i.e., StyleGANv2, as little as possible. We find that only two modifications are absolutely necessary: 1) a multiplane image style generator branch which produces a set of alpha maps conditioned on their depth; 2) a pose-conditioned discriminator. Github: https://github.com/apple/ml-gmpi Paper: https://arxiv.org/abs/2207.10642v1 Dataset: https://paperswithcode.com/dataset/metfaces Project: https://xiaoming-zhao.github.io/projects/gmpi/ Pretrained checkpoints: drive.google.com/drive/f…rkRATSR_ @ai_machinelearning_big_data