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Artifact Feature Purification for Cross-domain Detection of AI-generated Images
March 19, 2024, 4:48 a.m. | Zheling Meng, Bo Peng, Jing Dong, Tieniu Tan
cs.CV updates on arXiv.org arxiv.org
Abstract: In the era of AIGC, the fast development of visual content generation technologies, such as diffusion models, bring potential security risks to our society. Existing generated image detection methods suffer from performance drop when faced with out-of-domain generators and image scenes. To relieve this problem, we propose Artifact Purification Network (APN) to facilitate the artifact extraction from generated images through the explicit and implicit purification processes. For the explicit one, a suspicious frequency-band proposal method …
abstract aigc ai-generated images artifact arxiv content generation cs.cv detection detection methods development diffusion diffusion models domain feature generated generators image image detection images performance risks security society technologies type visual
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