Cover Image

FakeScope: Large Multimodal Expert Model for Transparent AI-Generated Image Forensics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Yixuan, Tian, Yu, Huang, Yipo, Lu, Wei, Wang, Shiqi, Lin, Weisi, Rocha, Anderson
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models
by: Li, Yixuan, et al.
Published: (2024)

AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception
by: Huang, Yipo, et al.
Published: (2024)

AesExpert: Towards Multi-modality Foundation Model for Image Aesthetics Perception
by: Huang, Yipo, et al.
Published: (2024)

ThinkFake: Reasoning in Multimodal Large Language Models for AI-Generated Image Detection
by: Huang, Tai-Ming, et al.
Published: (2025)

Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare
by: Zhu, Hanwei, et al.
Published: (2024)

Community Forensics: Using Thousands of Generators to Train Fake Image Detectors
by: Park, Jeongsoo, et al.
Published: (2024)

AgenticIQA: An Agentic Framework for Adaptive and Interpretable Image Quality Assessment
by: Zhu, Hanwei, et al.
Published: (2025)

AI-generated Image Quality Assessment in Visual Communication
by: Tian, Yu, et al.
Published: (2024)

Image Quality Assessment for Machines: Paradigm, Large-scale Database, and Models
by: Wang, Xiaoqi, et al.
Published: (2025)

WildFake: A Large-scale Challenging Dataset for AI-Generated Images Detection
by: Hong, Yan, et al.
Published: (2024)

Just Noticeable Difference for Large Multimodal Models
by: Chen, Zijian, et al.
Published: (2025)

ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization
by: Du, Bo, et al.
Published: (2025)

Celeb-DF++: A Large-scale Challenging Video DeepFake Benchmark for Generalizable Forensics
by: Li, Yuezun, et al.
Published: (2025)

ForenX: Towards Explainable AI-Generated Image Detection with Multimodal Large Language Models
by: Tan, Chuangchuang, et al.
Published: (2025)

Spot the Fake: Large Multimodal Model-Based Synthetic Image Detection with Artifact Explanation
by: Wen, Siwei, et al.
Published: (2025)

Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Models
by: He, Xin, et al.
Published: (2024)

LMM4Edit: Benchmarking and Evaluating Multimodal Image Editing with LMMs
by: Xu, Zitong, et al.
Published: (2025)

Three Forensic Cues for JPEG AI Images
by: Bergmann, Sandra, et al.
Published: (2025)

Learning Human-Perceived Fakeness in AI-Generated Videos via Multimodal LLMs
by: Fu, Xingyu, et al.
Published: (2025)

MISC: Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal Model
by: Li, Chunyi, et al.
Published: (2024)

AGAV-Rater: Adapting Large Multimodal Model for AI-Generated Audio-Visual Quality Assessment
by: Cao, Yuqin, et al.
Published: (2025)

R-Bench: Are your Large Multimodal Model Robust to Real-world Corruptions?
by: Li, Chunyi, et al.
Published: (2024)

Image Quality Assessment for Embodied AI
by: Li, Chunyi, et al.
Published: (2025)

Multimodal Large Language Model is a Human-Aligned Annotator for Text-to-Image Generation
by: Wu, Xun, et al.
Published: (2024)

Towards Large Model Feature Coding
by: Pang, Youwei, et al.
Published: (2026)

AEGIS: A Holistic Benchmark for Evaluating Forensic Analysis of AI-Generated Academic Images
by: Zhang, Bo, et al.
Published: (2026)

When Detectors Forget Forensics: Blocking Semantic Shortcuts for Generalizable AI-Generated Image Detection
by: Shuai, Chao, et al.
Published: (2026)

Shape Distribution Matters: Shape-specific Mixture-of-Experts for Amodal Segmentation under Diverse Occlusions
by: Li, Zhixuan, et al.
Published: (2025)

From Global to Granular: Revealing IQA Model Performance via Correlation Surface
by: Chen, Baoliang, et al.
Published: (2026)

Compressed Feature Quality Assessment: Dataset and Baselines
by: Gao, Changsheng, et al.
Published: (2025)

FakeParts: a New Family of AI-Generated DeepFakes
by: Liu, Ziyi, et al.
Published: (2025)

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis
by: Cao, Hengyuan, et al.
Published: (2025)

TuningIQA: Fine-Grained Blind Image Quality Assessment for Livestreaming Camera Tuning
by: Sheng, Xiangfei, et al.
Published: (2025)

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

Seedream 4.0: Toward Next-generation Multimodal Image Generation
by: Seedream, Team, et al.
Published: (2025)

AIGIQA-20K: A Large Database for AI-Generated Image Quality Assessment
by: Li, Chunyi, et al.
Published: (2024)

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction
by: Prasad, Ravi Shankar, et al.
Published: (2025)

WikiStyle+: A Multimodal Approach to Content-Style Representation Disentanglement for Artistic Image Stylization
by: Zhuoqi, Ma, 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)

From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection
by: Liang, Mengfei, et al.
Published: (2025)