Skip to content

Project on evaluating and assessing current super-resolution methods for both images and videos to assess their performance in terms of latency and super-resolution quality, and researching new strategies to improve the real-time execution of these methods.

License

Notifications You must be signed in to change notification settings

prtk1910/Deep-learning-based-Real-Time-Super-Resolution

 
 

Repository files navigation

EVISR

Project on evaluating and assessing current super-resolution methods for both images and videos to assess their performance in terms of latency and super-resolution quality, and researching new strategies to improve the real-time execution of these methods.

About

Project on evaluating and assessing current super-resolution methods for both images and videos to assess their performance in terms of latency and super-resolution quality, and researching new strategies to improve the real-time execution of these methods.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 88.6%
  • Python 11.4%