ASAP: Visual Analytics for Identifying and Analyzing Image Patterns in AI-generated Images

arXiv:2609.27371 · cs.HC, cs.CV · Submitted 2026-09-23 · Read on arXiv

cs.HC, cs.CV

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

• Transformer — 24× in this paper · explained in 2 episodes
• Interpretability — 15× in this paper · explained in 15 episodes
• Generalizability — 13× in this paper · explained in 6 episodes
• Embeddings — 12× in this paper · explained in 2 episodes
• Generative Model — 9× in this paper · explained in 2 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Generative AI — 7× in this paper · explained in 2 episodes
• Generative Models — 7× in this paper · explained in 2 episodes
• Actionability — 6× in this paper · explained in 3 episodes
• Distillation — 6× in this paper · explained in 2 episodes
• Computer Vision and Pattern Recognition — 5× in this paper
• Explainability — 5× in this paper · explained in 3 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Diffusion Model — 4× in this paper · explained in 8 episodes
• Diffusion Models — 4× in this paper · explained in 6 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Human-in-the-Loop — 3× in this paper · explained in 3 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Aggregation — 2× in this paper · explained in 1 episode
• Clustering — 2× in this paper · explained in 2 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Prompt Engineering — 2× in this paper · explained in 4 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Transformer Models — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Workshop on Information Forensics and Security — 2× in this paper
• Adam — 1× in this paper · explained in 2 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Adversarial Robustness — 1× in this paper · explained in 3 episodes
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Contrastive Language-Image Pretraining — 1× in this paper
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Diffusion Processes — 1× in this paper · explained in 2 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Entanglement — 1× in this paper · explained in 4 episodes
• Explainable AI (XAI) — 1× in this paper · explained in 7 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Mask Generation — 1× in this paper · explained in 2 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Vector Representations — 1× in this paper · explained in 2 episodes
• Vision-language models — 1× in this paper · explained in 2 episodes

Sources

• Can AI-Generated Text be Reliably Detected?
• ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection
• Language-driven Semantic Segmentation
• CLIP in Medical Imaging: A Survey

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