Frequency-Domain AI-Generated Image Detection: Exploring Decoder and Channel Attention for Feature Refinement

arXiv:2609.31723 · cs.CV, cs.AI, cs.LG · Submitted 2026-09-22 · Read on arXiv

cs.CV, cs.AI, cs.LG

Submitted: 2026-09-22

Updated: 2026-09-22

Comments: Accepted at the 2026 IEEE International Conference on Optics, Machine Learning and Emerging Technology (OMLET)

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 29× in this paper · explained in 1 episode
• AUC — 19× in this paper · explained in 2 episodes
• Efficient Channel Attention — 4× in this paper
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Edge Devices — 1× in this paper · explained in 2 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes

Sources

• A Comprehensive Dataset for Human vs. AI Generated Image Detection

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