  We introduce a Progressive Positional Encoding (PPE) layer, which gradually
exposes signals with increasing frequencies throughout the neural optimization.
In this paper, we show the competence of the PPE layer for mesh transfer and
its advantages compared to contemporary surface mapping techniques. Our
approach is simple and requires little user guidance. Most importantly, our
technique is a parameterization-free method, and thus applicable to a variety
of target shape representations, including point clouds, polygon soups, and
non-manifold meshes. We demonstrate that the transferred meshing remains
faithful to the source mesh design characteristics, and at the same time fits
the target geometry well.
