  We describe in this short note a technique to convert an implicit surface
into a Signed Distance Function (SDF) while exactly preserving the zero
level-set of the implicit. The proposed approach relies on embedding the input
implicit in the final layer of a neural network, which is trained to minimize a
loss function characterizing the SDF.
