Copertina

Order within Chaos: Capturing Intrinsic Energy Anomalies for AI-Manipulated Image Forgery Localization

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Yiming, Wu, Baiqi, Li, Qingming, Chen, Jiahao, Zhang, Tong, Ji, Shouling
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

PromptForge-350k: A Large-Scale Dataset and Contrastive Framework for Prompt-Based AI Image Forgery Localization
di: Wang, Jianpeng, et al.
Pubblicazione: (2026)

ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization
di: Zhang, Fanrui, et al.
Pubblicazione: (2024)

VModA: An Effective Framework for Adaptive NSFW Image Moderation
di: Bao, Han, et al.
Pubblicazione: (2025)

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

Weakly-Supervised Image Forgery Localization via Vision-Language Collaborative Reasoning Framework
di: Sheng, Ziqi, et al.
Pubblicazione: (2025)

CBDiff:Conditional Bernoulli Diffusion Models for Image Forgery Localization
di: Lei, Zhou, et al.
Pubblicazione: (2025)

Enhancing Frequency Forgery Clues for Diffusion-Generated Image Detection
di: Zhang, Daichi, et al.
Pubblicazione: (2025)

Beyond Surface Artifacts: Capturing Shared Latent Forgery Knowledge Across Modalities
di: Dou, Jingtong, et al.
Pubblicazione: (2026)

ForgeryTTT: Zero-Shot Image Manipulation Localization with Test-Time Training
di: Liu, Weihuang, et al.
Pubblicazione: (2024)

UniShield: An Adaptive Multi-Agent Framework for Unified Forgery Image Detection and Localization
di: Huang, Qing, et al.
Pubblicazione: (2025)

SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints
di: Sheng, Ziqi, et al.
Pubblicazione: (2024)

Rethinking Image Forgery Detection via Soft Contrastive Learning and Unsupervised Clustering
di: Wu, Haiwei, et al.
Pubblicazione: (2023)

CLUE: Leveraging Low-Rank Adaptation to Capture Latent Uncovered Evidence for Image Forgery Localization
di: Wang, Youqi, et al.
Pubblicazione: (2025)

Field-Localized Forgery Detection for Digital Identity Documents
di: Kumar, Abhishek, et al.
Pubblicazione: (2026)

Zooming In on Fakes: A Novel Dataset for Localized AI-Generated Image Detection with Forgery Amplification Approach
di: Cai, Lvpan, et al.
Pubblicazione: (2025)

StemBind: When MLLMs Get Lost Between Rules and Instances in Abstract Visual Reasoning
di: He, Xixiang, et al.
Pubblicazione: (2026)

VideoEraser: Concept Erasure in Text-to-Video Diffusion Models
di: Xu, Naen, et al.
Pubblicazione: (2025)

Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale
di: Li, Zhengcen, et al.
Pubblicazione: (2026)

FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models
di: Xu, Zhipei, et al.
Pubblicazione: (2024)

Digital Image Forgery Detection Using Transfer Learning
di: Buyuk, Fatma Betul, et al.
Pubblicazione: (2026)

Semantic Discrepancy-aware Detector for Image Forgery Identification
di: Wang, Ziye, et al.
Pubblicazione: (2025)

Loupe: A Generalizable and Adaptive Framework for Image Forgery Detection
di: Jiang, Yuchu, et al.
Pubblicazione: (2025)

COCO-Inpaint: A Benchmark for Detecting and Localizing Inpainting-Based Image Manipulations
di: Yan, Haozhen, et al.
Pubblicazione: (2025)

Image Forgery Localization with State Space Models
di: Lou, Zijie, et al.
Pubblicazione: (2024)

ForgeryVCR: Visual-Centric Reasoning via Efficient Forensic Tools in MLLMs for Image Forgery Detection and Localization
di: Wang, Youqi, et al.
Pubblicazione: (2026)

M4-BLIP: Advancing Multi-Modal Media Manipulation Detection through Face-Enhanced Local Analysis
di: Wu, Hang, et al.
Pubblicazione: (2025)

Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection
di: Luo, Wei, et al.
Pubblicazione: (2025)

Semantic Manipulation Localization
di: Tan, Zhenshan, et al.
Pubblicazione: (2026)

Unlocking the Forgery Detection Potential of Vanilla MLLMs: A Novel Training-Free Pipeline
di: Zuo, Rui, et al.
Pubblicazione: (2025)

Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
di: Wu, Jingqi, et al.
Pubblicazione: (2025)

Diffusion Facial Forgery Detection
di: Cheng, Harry, et al.
Pubblicazione: (2024)

Learning Universal Features for Generalizable Image Forgery Localization
di: Zhao, Hengrun, et al.
Pubblicazione: (2025)

Active Adversarial Noise Suppression for Image Forgery Localization
di: Peng, Rongxuan, et al.
Pubblicazione: (2025)

ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection
di: Sun, Zhihao, et al.
Pubblicazione: (2024)

Suppressing Forgery-Specific Shortcuts for Generalizable Deepfake Detection
di: Wang, Yihui, et al.
Pubblicazione: (2026)

From Noisy Labels to Intrinsic Structure: A Geometric-Structural Dual-Guided Framework for Noise-Robust Medical Image Segmentation
di: Wang, Tao, et al.
Pubblicazione: (2025)

Localization of Synthetic Manipulations in Western Blot Images
di: Manjunath, Anmol, et al.
Pubblicazione: (2024)

Uncertainty-aware Long-tailed Weights Model the Utility of Pseudo-labels for Semi-supervised Learning
di: Wu, Jiaqi, et al.
Pubblicazione: (2025)

On-Device Diffusion Transformer Policy for Efficient Robot Manipulation
di: Wu, Yiming, et al.
Pubblicazione: (2025)

Hierarchical Deep Fusion Framework for Multi-dimensional Facial Forgery Detection -- The 2024 Global Deepfake Image Detection Challenge
di: Wang, Kohou, et al.
Pubblicazione: (2025)