Align, Don't Blend: Orthogonal Supervision Disentanglement As the Key to Generalizable AI-Generated Image Detection
AlignGemini detects AI-generated images by splitting detection into two tasks: checking semantic meaning and finding pixel flaws. It uses a dual-branch model, training one branch with semantic rules and another with low-level pixel details. This orthogonal approach allows the system to generalize better using simpler data while maintaining high accuracy in real-world scenarios.