mingukkang/elatentlpips
Author's Implementation for E-LatentLPIPS
This project helps researchers and developers working with image generation models quickly measure how perceptually similar two images are, directly in their compressed 'latent' form. It takes two compressed image representations from a Latent Diffusion Model and outputs a single number indicating their perceptual distance. It's designed for machine learning researchers and engineers who need to evaluate image generation quality or perform regression tasks without resource-intensive image decoding.
179 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need a faster, memory-efficient way to calculate perceptual similarity between images generated by Latent Diffusion Models like Stable Diffusion or FLUX, especially during training or evaluation.
Not ideal if your workflow requires human-interpretable pixel-level comparisons or if you are not working with latent representations from diffusion models.
Stars
179
Forks
4
Language
Python
License
—
Category
Last pushed
Nov 05, 2024
Commits (30d)
0
Dependencies
7
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