Skip to content
/ SMIC Public

Code for "Sliced Maximal Information Coefficient: A Training-Free Approach for Image Quality Assessment Enhancement"

License

Notifications You must be signed in to change notification settings

KANGX99/SMIC

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 

Repository files navigation

SMIC

Code for "Sliced Maximal Information Coefficient: A Training-Free Approach for Image Quality Assessment Enhancement"

framework

Environment

The code has been tested on Linux systems with python 3.8. Please refer to requirements.txt for installing dependent packages.

pip install -r requirements.txt

Running

  • Enhanced FR-IQA models

    • The SMIC-based weighting scheme is integrated into five FR-IQA methods, including classical metrics (PSNR and SSIM) and learning-based methods (LPIPS, DISTS, DeepWSD).

    • The model corresponding to the enhanced version can be obtained in the smic-pytorch folder.

  • Generate attention maps by SMIC

    python SMIC_Map.py

    attenton

About

Code for "Sliced Maximal Information Coefficient: A Training-Free Approach for Image Quality Assessment Enhancement"

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages