Language-guided Hierarchical Fine-grained Image Forgery Detection and Localization
Fuente:
arXiv
Saved in:
| Main Authors: | Guo, Xiao, Liu, Xiaohong, Masi, Iacopo, Liu, Xiaoming |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the Holistic Approach for Detecting Human Image Forgery
by: Guo, Xiao, et al.
Published: (2026)
by: Guo, Xiao, et al.
Published: (2026)
Perturb, Attend, Detect and Localize (PADL): Robust Proactive Image Defense
by: Bartolucci, Filippo, et al.
Published: (2024)
by: Bartolucci, Filippo, et al.
Published: (2024)
On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection
by: Song, Xiufeng, et al.
Published: (2024)
by: Song, Xiufeng, et al.
Published: (2024)
Consolidating Diffusion-Generated Video Detection with Unified Multimodal Forgery Learning
by: Liu, Xiaohong, et al.
Published: (2025)
by: Liu, Xiaohong, et al.
Published: (2025)
MFVLR: Multi-domain Fine-grained Vision-Language Reconstruction for Generalizable Diffusion Face Forgery Detection and Localization
by: Zhang, Yaning, et al.
Published: (2026)
by: Zhang, Yaning, et al.
Published: (2026)
DA-HFNet: Progressive Fine-Grained Forgery Image Detection and Localization Based on Dual Attention
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
Rethinking Cross-Domain Evaluation for Face Forgery Detection with Semantic Fine-grained Alignment and Mixture-of-Experts
by: Luo, Yuhan, et al.
Published: (2026)
by: Luo, Yuhan, et al.
Published: (2026)
ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization
by: Zhang, Fanrui, et al.
Published: (2024)
by: Zhang, Fanrui, et al.
Published: (2024)
Revisiting Face Forgery Detection: From Facial Representation to Forgery Detection
by: Guo, Zonghui, et al.
Published: (2024)
by: Guo, Zonghui, et al.
Published: (2024)
MFCLIP: Multi-modal Fine-grained CLIP for Generalizable Diffusion Face Forgery Detection
by: Zhang, Yaning, et al.
Published: (2024)
by: Zhang, Yaning, et al.
Published: (2024)
Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector
by: Guo, Xiao, et al.
Published: (2025)
by: Guo, Xiao, et al.
Published: (2025)
Image Forgery Localization with State Space Models
by: Lou, Zijie, et al.
Published: (2024)
by: Lou, Zijie, et al.
Published: (2024)
Balanced Hierarchical Contrastive Learning with Decoupled Queries for Fine-grained Object Detection in Remote Sensing Images
by: Chen, Jingzhou, et al.
Published: (2025)
by: Chen, Jingzhou, et al.
Published: (2025)
Storyboard guided Alignment for Fine-grained Video Action Recognition
by: Liu, Enqi, et al.
Published: (2024)
by: Liu, Enqi, et al.
Published: (2024)
ForgeryVCR: Visual-Centric Reasoning via Efficient Forensic Tools in MLLMs for Image Forgery Detection and Localization
by: Wang, Youqi, et al.
Published: (2026)
by: Wang, Youqi, et al.
Published: (2026)
Can Textual Reasoning Improve the Performance of MLLMs on Fine-grained Visual Classification?
by: Zhu, Jie, et al.
Published: (2026)
by: Zhu, Jie, et al.
Published: (2026)
A Provable Energy-Guided Test-Time Defense Boosting Adversarial Robustness of Large Vision-Language Models
by: Mirza, Mujtaba Hussain, et al.
Published: (2026)
by: Mirza, Mujtaba Hussain, et al.
Published: (2026)
ForgeLens: Data-Efficient Forgery Focus for Generalizable Forgery Image Detection
by: Chen, Yingjian, et al.
Published: (2024)
by: Chen, Yingjian, et al.
Published: (2024)
Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection
by: Liang, Jiawei, et al.
Published: (2024)
by: Liang, Jiawei, et al.
Published: (2024)
Hierarchical Deep Fusion Framework for Multi-dimensional Facial Forgery Detection -- The 2024 Global Deepfake Image Detection Challenge
by: Wang, Kohou, et al.
Published: (2025)
by: Wang, Kohou, et al.
Published: (2025)
ForgeryTTT: Zero-Shot Image Manipulation Localization with Test-Time Training
by: Liu, Weihuang, et al.
Published: (2024)
by: Liu, Weihuang, et al.
Published: (2024)
Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and Localization
by: Yu, Zeqin, et al.
Published: (2025)
by: Yu, Zeqin, et al.
Published: (2025)
Learning Universal Features for Generalizable Image Forgery Localization
by: Zhao, Hengrun, et al.
Published: (2025)
by: Zhao, Hengrun, et al.
Published: (2025)
Active Adversarial Noise Suppression for Image Forgery Localization
by: Peng, Rongxuan, et al.
Published: (2025)
by: Peng, Rongxuan, et al.
Published: (2025)
ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement
by: Wong, Kahim, et al.
Published: (2025)
by: Wong, Kahim, et al.
Published: (2025)
Image Copy-Move Forgery Detection and Localization Scheme: How to Avoid Missed Detection and False Alarm
by: Jiang, Li, et al.
Published: (2024)
by: Jiang, Li, et al.
Published: (2024)
Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grained Image Quality Assessment
by: Liu, Kai, et al.
Published: (2024)
by: Liu, Kai, et al.
Published: (2024)
DiffusionFF: A Diffusion-based Framework for Joint Face Forgery Detection and Fine-Grained Artifact Localization
by: Peng, Siran, et al.
Published: (2025)
by: Peng, Siran, et al.
Published: (2025)
Fine-Grained DINO Tuning with Dual Supervision for Face Forgery Detection
by: Zhang, Tianxiang, et al.
Published: (2025)
by: Zhang, Tianxiang, et al.
Published: (2025)
3-Tracer: A Tri-level Temporal-Aware Framework for Audio Forgery Detection and Localization
by: Xia, Shuhan, et al.
Published: (2025)
by: Xia, Shuhan, et al.
Published: (2025)
ForensicsSAM: Toward Robust and Unified Image Forgery Detection and Localization Resisting to Adversarial Attack
by: Peng, Rongxuan, et al.
Published: (2025)
by: Peng, Rongxuan, et al.
Published: (2025)
PathFLIP: Fine-grained Language-Image Pretraining for Versatile Computational Pathology
by: Liu, Fengchun, et al.
Published: (2025)
by: Liu, Fengchun, et al.
Published: (2025)
Learning to Discover Forgery Cues for Face Forgery Detection
by: Tian, Jiahe, et al.
Published: (2024)
by: Tian, Jiahe, et al.
Published: (2024)
HiVG: Hierarchical Multimodal Fine-grained Modulation for Visual Grounding
by: Xiao, Linhui, et al.
Published: (2024)
by: Xiao, Linhui, et al.
Published: (2024)
CBDiff:Conditional Bernoulli Diffusion Models for Image Forgery Localization
by: Lei, Zhou, et al.
Published: (2025)
by: Lei, Zhou, et al.
Published: (2025)
COMICS: End-to-end Bi-grained Contrastive Learning for Multi-face Forgery Detection
by: Zhang, Cong, et al.
Published: (2023)
by: Zhang, Cong, et al.
Published: (2023)
Object-level Copy-Move Forgery Image Detection based on Inconsistency Mining
by: Wang, Jingyu, et al.
Published: (2024)
by: Wang, Jingyu, et al.
Published: (2024)
CMFDFormer: Transformer-based Copy-Move Forgery Detection with Continual Learning
by: Liu, Yaqi, et al.
Published: (2023)
by: Liu, Yaqi, et al.
Published: (2023)
FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models
by: Xu, Zhipei, et al.
Published: (2024)
by: Xu, Zhipei, et al.
Published: (2024)
Zooming In on Fakes: A Novel Dataset for Localized AI-Generated Image Detection with Forgery Amplification Approach
by: Cai, Lvpan, et al.
Published: (2025)
by: Cai, Lvpan, et al.
Published: (2025)
Similar Items
-
On the Holistic Approach for Detecting Human Image Forgery
by: Guo, Xiao, et al.
Published: (2026) -
Perturb, Attend, Detect and Localize (PADL): Robust Proactive Image Defense
by: Bartolucci, Filippo, et al.
Published: (2024) -
On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection
by: Song, Xiufeng, et al.
Published: (2024) -
Consolidating Diffusion-Generated Video Detection with Unified Multimodal Forgery Learning
by: Liu, Xiaohong, et al.
Published: (2025) -
MFVLR: Multi-domain Fine-grained Vision-Language Reconstruction for Generalizable Diffusion Face Forgery Detection and Localization
by: Zhang, Yaning, et al.
Published: (2026)