Given an image, humans effortlessly run the image formation process backwards in their minds: they can tell albedo from shading, foreground from background, and imagine the occluded parts of the scene behind foreground objects. In this work, we propose a weakly supervised inversion machine trained to generate similar imaginations that when rendered using differentiable, graphics-like decoders, ...