Smoothing the Semantic Landscape: Generalizable AI-Generated Image Detection via Text-Induced Flatness

arXiv:2603.00717 · cs.CV · Submitted 2026-02-28 · Read on arXiv

cs.CV

Submitted: 2026-02-28

Updated: 2026-09-26

Terminology

• Generalization — 37× in this paper · explained in 13 episodes
• Generative Model — 18× in this paper · explained in 2 episodes
• Generative Models — 16× in this paper · explained in 2 episodes
• Diffusion Model — 14× in this paper · explained in 8 episodes
• Consistency — 13× in this paper · explained in 3 episodes
• Diffusion Models — 12× in this paper · explained in 6 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Robustness — 7× in this paper · explained in 5 episodes
• Attribution Consistency Module — 4× in this paper
• Fidelity — 4× in this paper · explained in 2 episodes
• Latent Space — 4× in this paper · explained in 7 episodes
• Trace — 4× in this paper · explained in 2 episodes
• Adaptability — 2× in this paper · explained in 1 episode
• Reconstruction Error — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adversarial Training — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generative Adversarial Networks (GANs) — 1× in this paper · explained in 3 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Mode Collapse — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes

Sources

• Large Scale GAN Training for High Fidelity Natural Image Synthesis
• Hierarchical Text-Conditional Image Generation with CLIP Latents
• Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

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