  Reconstructing 3D shape from 2D sketches has long been an open problem
because the sketches only provide very sparse and ambiguous information. In
this paper, we use an encoder/decoder architecture for the sketch to mesh
translation. This enables us to leverage its latent parametrization to
represent and refine a 3D mesh so that its projections match the external
contours outlined in the sketch. We will show that this approach is easy to
deploy, robust to style changes, and effective. Furthermore, it can be used for
shape refinement given only single pen strokes. We compare our approach to
state-of-the-art methods on sketches -- both hand-drawn and synthesized -- and
demonstrate that we outperform them.
