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SMIC

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

Install / Use

/learn @KANGX99/SMIC
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

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

View on GitHub
GitHub Stars11
CategoryDevelopment
Updated12mo ago
Forks0

Languages

Python

Security Score

82/100

Audited on Apr 8, 2025

No findings