  In this article, we analyze tensor approximation schemes for continuous
functions. We assume that the function to be approximated lies in an isotropic
Sobolev space and discuss the cost when approximating this function in the
continuous analogue of the Tucker tensor format or of the tensor train format.
We especially show that the cost of both approximations are dimension-robust
when the Sobolev space under consideration provides appropriate weights.
