2019
Explicitly disentangling image content from translation and rotation with spatial-VAE
NeurIPS 2019poster
Given an image dataset, we are often interested in finding data generative factors that encode semantic content independently from pose variables such as rotation and translation. However, current disentanglement approaches do not impose any specific structure on the learned latent representations.…