5 papers
Detecting AI-Generated Images via Distributional Deviations from Real Images
Yakun Niu, Yingjian Chen, Lei Zhang
The rapid advancement of generative models has significantly enhanced the quality of AI-generated images, raising concerns about misinformation and the erosion of public trust. Det…
ForgeLens: Data-Efficient Forgery Focus for Generalizable Forgery Image Detection
Yingjian Chen, Lei Zhang, Yakun Niu
The rise of generative models has raised concerns about image authenticity online, highlighting the urgent need for a detector that is (1) highly generalizable, capable of handling…
Multi-Scale Cross-Fusion and Edge-Supervision Network for Image Splicing Localization
Yakun Niu, Pei Chen, Lei Zhang +2
Image Splicing Localization (ISL) is a fundamental yet challenging task in digital forensics. Although current approaches have achieved promising performance, the edge information…
Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection
Yingjian Chen, Lei Zhang, Yakun Niu +2
Diffusion Models enable realistic image generation, raising the risk of misinformation and eroding public trust. Currently, detecting images generated by unseen diffusion models re…
Image Forgery Localization via Guided Noise and Multi-Scale Feature Aggregation
Yakun Niu, Pei Chen, Lei Zhang +2
Image Forgery Localization (IFL) technology aims to detect and locate the forged areas in an image, which is very important in the field of digital forensics. However, existing IFL…