Daniele Trappolini Phd Student in Data Science at Sapienza, University of Rome and INGV.

Seismic Denoising meets Generative Image Models

Exciting news! Our seismic denoising work has been featured in an insightful article, thanks to Alex Saoulis from UCL for the fantastic write-up. This article explores the innovative use of generative models in seismic data analysis, highlighting the significant impact on our understanding of Earth’s movements. It’s a testament to the groundbreaking research and hard work of our team.

For an in-depth look at this pioneering approach, I encourage you to read the article. It’s a great example of how technology is advancing our field.

You can find the article at the following link: EGU Blogs