Relative Patch Response Learning for Generalizable AI-Generated Image Detection

arXiv:2610.11876 · cs.CV · Submitted 2026-10-08 · Read on arXiv

cs.CV

Submitted: 2026-10-08

Updated: 2026-10-08

Code: https://github.com/wittyuu/Relative-Patch-Response-Learning

Terminology

• Benchmark — 48× in this paper · explained in 2 episodes
• Accuracy — 36× in this paper · explained in 1 episode
• Alignment — 12× in this paper · explained in 1 episode
• Trace — 12× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 10× in this paper
• Diffusion Model — 9× in this paper · explained in 8 episodes
• Diffusion Models — 7× in this paper · explained in 6 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Robustness — 5× in this paper · explained in 5 episodes
• Adaptation — 4× in this paper · explained in 1 episode
• Foundation Model — 4× in this paper · explained in 3 episodes
• Generative Model — 4× in this paper · explained in 2 episodes
• Generative Models — 4× in this paper · explained in 2 episodes
• In International Conference on Machine Learning — 4× in this paper
• Relative Patch Response Learning — 4× in this paper
• Transformer — 4× in this paper · explained in 2 episodes
• Foundation Models — 3× in this paper · explained in 7 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• In International Conference on Learning Representations — 3× in this paper
• Reconstruction Error — 3× in this paper · explained in 2 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• In European Conference on Computer Vision — 2× in this paper
• Latent Space — 2× in this paper · explained in 7 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Conference on Knowledge Discovery and Data Mining — 1× in this paper
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Flow Matching — 1× in this paper · explained in 8 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• LoRA Adaptation — 1× in this paper · explained in 2 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Wavelet Transform — 1× in this paper · explained in 2 episodes

Sources

• FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space
• Real-Time Deepfake Detection in the Real-World
• DailyBench: A Unified Benchmark for AI-Generated and Manipulated Images from Modern Generative Models
• DINOv3
• Qwen-Image Technical Report
• PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection

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