Synthetic Image Detection using Gradient Fields 💡🔍

A simple luminance-gradient PCA analysis reveals a consistent separation between real photographs and diffusion-generated images 📸🤖.

Real images produce coherent gradient fields tied to physical lighting and sensor characteristics ☀️📷, while diffusion samples show unstable high-frequency structures from the denoising process 🌀.

By converting RGB to luminance, computing spatial gradients, flattening them into a matrix, and evaluating the covariance through PCA, the difference becomes visible in a single projection 📊.

This provides a lightweight and interpretable way to assess image authenticity without relying on metadata or classifier models ✅🛡.

https://t.me/DataScienceM 💙