Regularization methods are a key tool in the solution of inverse problems. They are used to
introduce prior knowledge and allow a robust approximation of ill-posed (pseudo-) inverses …

Despite the rapid development of computational hardware, the treatment of large and high
dimensional data sets is still a challenging problem. This paper provides a twofold …

We present a super-resolution method capable of creating a high-resolution texture map for
a virtual 3D object from a set of lower-resolution images of that object. Our architecture …