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...
Note: Due to the COVID-19,the course will be delivered online from May 9. 课程描述 DescriptionInverse problem refers to a kind of problem of inverting the physical parameters and geometric features of the interested area by the measured data, and is an important subject for the intersection of industrial and applied mathematics. It consists of many areas including modeling, partial differenti...