HoloGAN: Unsupervised learning of 3D representations from natural images

ICCV 2019 Thu Nguyen-PhuocChuan LiLucas TheisChristian RichardtYong-Liang Yang

We propose a novel generative adversarial network (GAN) for the task of unsupervised learning of 3D representations from natural images. Most generative models rely on 2D kernels to generate images and make few assumptions about the 3D world... (read more)

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