ohayonguy/information-estimation-metric
[ICLR 2026] Official implementation of the paper: Learning a distance measure from the information-estimation geometry of data
This project provides a method to calculate a sophisticated distance metric between image pairs, moving beyond simple pixel comparisons. It takes in two images and outputs a numerical score representing their 'information-estimation' distance. Researchers and practitioners in image processing, computer vision, and machine learning can use this to evaluate image similarity or distortion.
Use this if you need a nuanced way to measure similarity or distortion between images, especially when traditional metrics like PSNR don't capture perceptual differences accurately.
Not ideal if you are looking for a straightforward image comparison tool for general users, as it requires familiarity with diffusion models and Python for implementation.
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Language
Python
License
MIT
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
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