BG-REAL: A Public Real-Data Anchored Benchmark for Background Manipulation Detection and Localization
BG-REAL introduces a public benchmark for detecting and locating background manipulation in images. It uses real data anchored by matched authentic controls to test various editing techniques across six families, including composite and replacement edits. The analysis reveals that re-encoding artifacts are a shared risk across different models, suggesting a common vulnerability rather than model-specific failure.