258 citations · 310 across the 18 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.CV2019★ 14 cited
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
We propose a method to learn 3D deformable object categories from raw single-view images, without external supervision. The method is based on an autoencoder that factors each inpu…
cs.CV2019★ 2 cited
Photo-Geometric Autoencoding to Learn 3D Objects from Unlabelled Images
Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
We show that generative models can be used to capture visual geometry constraints statistically. We use this fact to infer the 3D shape of object categories from raw single-view im…