Author

Hao Tan

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#generative ai Preprint Aug 2026

MotionPhys: Detecting AI-Generated Videos via Physical Consistency of Optical-Flow Trajectories

This work introduces MotionPhys, a lightweight and interpretable framework that treats sparse motion trajectories as physical evidence rather than relying on appearance artifacts or generator-specific traces and reveals subtle motion inconsistencies that are difficult to capture with conventional visual cues and transforms them into a compact representation for efficient detection.

Hao He, Hao Tan, Zichang Tan et al. · 0 citations

Preprint Aug 2026

Unleashing the Potential of Vision-Language Models for Generalizable AI-Generated Image Detection

Across cross-generator, post-processing, and in-the-wild benchmarks, PE-SPC surpasses the previous DINOv3 baseline and achieves new state-of-the-art results.

Wei-Han Cai, Hao Tan, Zichang Tan et al. · 0 citations