Abstract: This paper presents CQT-Diff, a data-driven generative audio model that can, once trained, be used for solving various different audio inverse problems in a problem-agnostic setting.

You can set up the environment using the environment.yml (the requirement is the same as [DDRM]: https://github.com/bahjat-kawar/ddrm). Run conda env create -f ...

Abstract: This paper presents the necessity of posing and solving inverse problems in the diagnostic procedures of electric machines. This is essential in order to achieve better and more precise ...

Dive into the Balance Moon Stone Problem from the Feynman Lectures in this detailed explanation! This video breaks down the exercise step by step, making the physics concepts behind balance, mass ...