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From the 1 of 5 linked papers with an AI index.

collaborators

5 papers

cs.CV2026

GlobalForge: Towards Robust AI-Generated Image Detection

Manni Cui, Ruiqi Liu, Dianyuan Zou +8

The paper introduces GlobalForge, a detection framework that shifts focus from fragile local artifacts to robust global structures to improve AI‑generated image detection under rea…

cs.CL2026

Towards Generalization of Block Attention via Automatic Segmentation and Block Distillation

Shuaiyi Li, Zhisong Zhang, Yan Wang +5

Block attention, which processes the input as separate blocks that cannot attend to one another, offers significant potential to improve KV cache reuse in long-context scenarios su…

cs.CV2026

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…

cs.CV2026

Your One-Stop Solution for AI-Generated Video Detection

Long Ma, Zihao Xue, Yan Wang +6

Recent advances in generative modeling can create remarkably realistic synthetic videos, making it increasingly difficult for humans to distinguish them from real ones and necessit…

cs.CV2025

Beyond Artifacts: Real-Centric Envelope Modeling for Reliable AI-Generated Image Detection

Ruiqi Liu, Yi Han, Zhengbo Zhang +9

The rapid progress of generative models has intensified the need for reliable and robust detection under real-world conditions. However, existing detectors often overfit to generat…