Statements by Caputo and Adorni do not come out of nowhere but need to be seen as a continuation of the battle between a ...

During my time as a learning support math teacher, I always had a daily word problem on my board for students to work on when they first walked into my classroom. To be completely honest, this ...

Abstract: In recent years, the ascendance of diffusion modeling as a state-of-the-art generative modeling approach has spurred significant interest in their use as priors in Bayesian inverse problems.

Consumers trashed enough clothing last year-120 million metric tons, to be exact-to fill over 200 Olympic stadiums. About 80 percent of discarded textiles were landfilled or incinerated in 2024, with ...

Deep learning-based methods deliver state-of-the-art performance for solving inverse problems that arise in computational imaging. These methods can be broadly divided into two groups: (1) learn a ...

Planet or Plastic? is National Geographic’s multiyear effort to raise awareness about the global plastic trash crisis. Come to this page often to learn more, and find out what you can do to reduce ...

The internet is taking China by storm, with millions of people logging on in record numbers and web cafes busier than ever. Internet addiction is reaching epidemic proportions in China Rising personal ...

This is the README file for the implementation of Hybrid Regularization Improves Diffusion-based Inverse Problem Solving (HRDIS). 🌟Comparison between RED-diff and our proposed HRDIS. HRDIS can ...

This is the official implementation of "Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models". This paper has been accpeted by ...