New papers tackle AI-generated image and video detection
Five arXiv papers propose methods to detect AI-generated images and videos, including AGIDefect-4K dataset, LoRC, MotionPhys, and explainable deepfake detection approaches.
How this story unfolded
4 days · 8 reports · from Aug 20
- Aug 20
- Aug 24
Zero-Shot Color Image Manipulation Localization via Noise Residual Artifact Pattern Analysisarxiv.org
AGIDefect-4K: A Richly Annotated Dataset for AI-Generated Image Defect Detection, Localization and Explanationarxiv.org
MotionPhys: Detecting AI-Generated Videos via Physical Consistency of Optical-Flow Trajectoriesarxiv.org
LoRC: Detecting AI-Generated Images via Low-Rank Collapse in Semantic Residualsarxiv.org
Explainable Deepfake Detection with Feature-robust Augmentation and Evidence-grounded Explanation Optimizationarxiv.org
GAP-SAM: A Global Artifact Prior for Generalizable AI-Generated Image Manipulation Localizationarxiv.org
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