Impostor: An Agent-Curated Benchmark for Realistic AIGC Manipulation Localization

ArXi:2606.04545v1 Announce Type: new Recent advances in generative image editing have improved the realism and controllability of localized image manipulation, raising new challenges for image manipulation detection and localization (IMDL). However, existing IMDL benchmarks still have limitations in visual realism, manipulation diversity, and generator coverage, making it difficult to reflect recent trends in image manipulation. To address these limitations, we