Geometric Disentanglement for Generative Latent Shape Models
Geometric Disentanglement for Generative Latent Shape Models
Representing 3D shapes is a fundamental problem in artificial intelligence, which has numerous applications within computer vision and graphics. One avenue that has recently begun to be explored is the use of latent representations of generative models. However, it remains an open problem to learn a generative model of shapes …