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cs.CV2026
Venus-DefakerOne2: A Vision-Forensics Foundation Model with Broader Coverage
Chenfan Qu, Yachao Liang, Mingqi Fang +28
Real-world forgery is inherently heterogeneous: it manifests not only as digital manipulation but also as physical spoofing, and is carried not only by images but also by videos. D…
cs.CV2026
TextShield-R1: Reinforced Reasoning for Tampered Text Detection
Chenfan Qu, Yiwu Zhong, Jian Liu +3
The growing prevalence of tampered images poses serious security threats, highlighting the urgent need for reliable detection methods. Multimodal large language models (MLLMs) demo…
cs.CV2026
Can We Build a Monolithic Model for Fake Image Detection? SICA: Semantic-Induced Constrained Adaptation for Unified-Yet-Discriminative Artifact Feature Space Reconstruction
Bo Du, Xiaochen Ma, Xuekang Zhu +8
Fake Image Detection (FID), aiming at unified detection across four image forensic subdomains, is critical in real-world forensic scenarios. Compared with ensemble approaches, mono…