Copertina

Detecting AI-Generated Images via Distributional Deviations from Real Images

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Niu, Yakun, Chen, Yingjian, Zhang, Lei
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

ForgeLens: Data-Efficient Forgery Focus for Generalizable Forgery Image Detection
di: Chen, Yingjian, et al.
Pubblicazione: (2024)

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection
di: Chen, Yingjian, et al.
Pubblicazione: (2024)

Image Forgery Localization via Guided Noise and Multi-Scale Feature Aggregation
di: Niu, Yakun, et al.
Pubblicazione: (2024)

TMFNet: Two-Stream Multi-Channels Fusion Networks for Color Image Operation Chain Detection
di: Niu, Yakun, et al.
Pubblicazione: (2024)

Multi-Scale Cross-Fusion and Edge-Supervision Network for Image Splicing Localization
di: Niu, Yakun, et al.
Pubblicazione: (2024)

Detecting AI-Generated Forgeries via Iterative Manifold Deviation Amplification
di: Zhang, Jiangling, et al.
Pubblicazione: (2026)

Generalizable Detection of AI Generated Images with Large Models and Fuzzy Decision Tree
di: Wu, Fei, et al.
Pubblicazione: (2026)

Towards Generalizable AI-Generated Image Detection via Image-Adaptive Prompt Learning
di: Li, Yiheng, et al.
Pubblicazione: (2025)

Detecting Generated Images by Fitting Natural Image Distributions
di: Zhang, Yonggang, et al.
Pubblicazione: (2025)

Beyond Artifacts: Real-Centric Envelope Modeling for Reliable AI-Generated Image Detection
di: Liu, Ruiqi, et al.
Pubblicazione: (2025)

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection
di: Qin, Haotian, et al.
Pubblicazione: (2025)

Aggregating Diverse Cue Experts for AI-Generated Image Detection
di: Tan, Lei, et al.
Pubblicazione: (2026)

A Single Simple Patch is All You Need for AI-generated Image Detection
di: Chen, Jiaxuan, et al.
Pubblicazione: (2024)

CoDA: Color Distribution Probing for Efficient and Generalizable AI-Generated Image Detection
di: Jia, Zexi, et al.
Pubblicazione: (2026)

RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry
di: Wang, Xinchang, et al.
Pubblicazione: (2026)

ServImage: An Image Generation and Editing Benchmark from Real-world Commercial Imaging Services
di: Ji, Fengxian, et al.
Pubblicazione: (2026)

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection
di: Li, Yiheng, et al.
Pubblicazione: (2026)

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics
di: Chen, Xi, et al.
Pubblicazione: (2024)

Detecting AI-Generated Images via CLIP
di: Moskowitz, A. G., et al.
Pubblicazione: (2024)

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection
di: Yan, Zhiyuan, et al.
Pubblicazione: (2024)

Beyond Semantic Features: Pixel-level Mapping for Generalized AI-Generated Image Detection
di: Zhou, Chenming, et al.
Pubblicazione: (2025)

DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion Generation
di: Lin, Hongbin, et al.
Pubblicazione: (2025)

Zero-Shot Detection of AI-Generated Images
di: Cozzolino, Davide, et al.
Pubblicazione: (2024)

Making Images Real Again: A Comprehensive Survey on Deep Image Composition
di: Niu, Li, et al.
Pubblicazione: (2021)

CTForensics: A Comprehensive Dataset and Method for AI-Generated CT Image Detection
di: Li, Yiheng, et al.
Pubblicazione: (2026)

Bridging the Gap Between Ideal and Real-world Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios
di: Li, Chunxiao, et al.
Pubblicazione: (2025)

UniGenDet: A Unified Generative-Discriminative Framework for Co-Evolutionary Image Generation and Generated Image Detection
di: Zhang, Yanran, et al.
Pubblicazione: (2026)

Spectral Tail Auxiliary Learning for AI-Generated Image Detection
di: Li, Xingyi, et al.
Pubblicazione: (2026)

LOTA: Bit-Planes Guided AI-Generated Image Detection
di: Wang, Hongsong, et al.
Pubblicazione: (2025)

DevPrompt: Deviation-Based Prompt Learning for One-Normal ShotImage Anomaly Detection
di: Poudineh, Morteza, et al.
Pubblicazione: (2026)

WeditGAN: Few-Shot Image Generation via Latent Space Relocation
di: Duan, Yuxuan, et al.
Pubblicazione: (2023)

Improving Interpretability and Robustness for the Detection of AI-Generated Images
di: Gaintseva, Tatiana, et al.
Pubblicazione: (2024)

Explainable AI-Generated Image Detection RewardBench
di: Yang, Michael, et al.
Pubblicazione: (2025)

Deepfake Geography: Detecting AI-Generated Satellite Images
di: Yerzhanuly, Mansur
Pubblicazione: (2025)

Beyond Deepfake Images: Detecting AI-Generated Videos
di: Vahdati, Danial Samadi, et al.
Pubblicazione: (2024)

Exploring the Naturalness of AI-Generated Images
di: Chen, Zijian, et al.
Pubblicazione: (2023)

EIRES:Training-free AI-Generated Image Detection via Edit-Induced Reconstruction Error Shift
di: Jiang, Wan, et al.
Pubblicazione: (2025)

Beyond Known Fakes: Generalized Detection of AI-Generated Images via Post-hoc Distribution Alignment
di: Wang, Li, et al.
Pubblicazione: (2025)

SimLBR: Learning to Detect Fake Images by Learning to Detect Real Images
di: Dhakal, Aayush, et al.
Pubblicazione: (2026)

Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories
di: Abdi, Lemar, et al.
Pubblicazione: (2025)