AbstractSince its first proposal in 2018, deep image prior has emerged as a very powerful unsupervised deep learning technique for solving inverse problems. The approach has demonstrated very encouraging empirical success in image denoising, deblurring, super-resolution etc. However, there are also several known drawbacks of the approach, notably high computational expense. In this talk, we des...
AbstractIn this talk, I will explain adjunction and inversion of adjunction for log canonical centers of arbitrary codimension. Our result depends on the existence of log canonical modifications and the theory of basic slc-trivial fibrations. Hence it depends on the minimal model program for log canonical pairs and the theory of variations of mixed Hodge structure. This talk is based on a joint...