Generative Adversarial Networks recover features in...

  • Main
  • 2017 / 01
  • Generative Adversarial Networks recover features in...

Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit

Schawinski, Kevin, Zhang, Ce, Zhang, Hantian, Fowler, Lucas, Santhanam, Gokula Krishnan
How much do you like this book?
What’s the quality of the file?
Download the book for quality assessment
What’s the quality of the downloaded files?
Language:
english
Journal:
Monthly Notices of the Royal Astronomical Society: Letters
DOI:
10.1093/mnrasl/slx008
Date:
January, 2017
File:
PDF, 4.06 MB
english, 2017
Conversion to is in progress
Conversion to is failed