GenShield: Unified Detection and Artifact Correction for AI-Generated Images

Researchers introduced GenShield, an autoregressive framework that both detects AI-generated images and corrects visible artifacts.

The system uses explainable visual chain-of-thought reasoning to identify synthetic content and guide targeted repair.

A new dataset and evaluation pipeline support training and benchmarking for this combined detection-and-restoration task.

The approach could improve authenticity screening, moderation, and digital forensics for diffusion-based image synthesis.