5 papers
EviScene: Beyond "Is It AI?" for Agentic Image Factuality Assessment
ZiAn Wang, Ruiqi Liu, Zhengbo Zhang +10
Determining whether an image is AI-generated does not establish whether the situation it depicts is factually supported. We formulate Image Factuality Assessment: given an image an…
Learning Continuous Source Responses For Generalizable AI-Generated Image Detection
Manni Cui, Ruiqi Liu, Zijian Yu +8
Advances in image generation have made synthetic images increasingly difficult to distinguish from real photographs, raising concerns about the trustworthiness of visual media. Exi…
Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection
Manni Cui, Ziheng Qin, ZiAn Wang +8
AI-generated videos (AIGVs) typically contain subtle temporal artifacts that arise from inter-frame inconsistencies rather than within individual frames. A detector that captures s…
GlobalForge: Towards Robust AI-Generated Image Detection
Manni Cui, Ruiqi Liu, Dianyuan Zou +8
AI-generated image (AIGI) detectors achieve strong accuracy on clean benchmarks, but their performance drops sharply after images are propagated through real-world channels. We tra…
MIRROR: Manifold Ideal Reference ReconstructOR for Generalizable AI-Generated Image Detection
Ruiqi Liu, Manni Cui, Ziheng Qin +12
High-fidelity generative models have narrowed the perceptual gap between synthetic and real images, posing serious threats to media security. Most existing AI-generated image (AIGI…