Photo-Geometric Autoencoding to Learn 3D Objects from Unlabelled Images

Understand

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 images.
• Differently from prior work, we use no external supervision, nor do we use multiple views or videos of the objects.
• We achieve this by a simple reconstruction task, exploiting the symmetry of the objects' shape and albedo.