Image de couverture de livre

Artifact Feature Purification for Cross-domain Detection of AI-generated Images

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Meng, Zheling, Peng, Bo, Dong, Jing, Tan, Tieniu
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Dark Miner: Defend against undesirable generation for text-to-image diffusion models
par: Meng, Zheling, et autres
Publié: (2024)

Latent Watermark: Inject and Detect Watermarks in Latent Diffusion Space
par: Meng, Zheling, et autres
Publié: (2024)

Concept Corrector: Erase concepts on the fly for text-to-image diffusion models
par: Meng, Zheling, et autres
Publié: (2025)

Counterfactual Explanations for Face Forgery Detection via Adversarial Removal of Artifacts
par: Li, Yang, et autres
Publié: (2024)

DeltaEdit: Exploring Text-free Training for Text-Driven Image Manipulation
par: Lyu, Yueming, et autres
Publié: (2023)

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection
par: Li, Yiheng, et autres
Publié: (2026)

SPECTRA-Net: Scalable Pipeline for Explainable Cross-domain Tensor Representations for AI-generated Images Detection
par: Arab, Sarra, et autres
Publié: (2026)

Beyond Artifacts: Real-Centric Envelope Modeling for Reliable AI-Generated Image Detection
par: Liu, Ruiqi, et autres
Publié: (2025)

TranX-Adapter: Bridging Artifacts and Semantics within MLLMs for Robust AI-generated Image Detection
par: Wang, Wenbin, et autres
Publié: (2026)

Human Image Generation: A Comprehensive Survey
par: Jia, Zhen, et autres
Publié: (2022)

SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model
par: Cao, Bin, et autres
Publié: (2024)

Artifact-Bench: Evaluating MLLMs on Detecting and Assessing the Artifacts of AI-Generated Videos
par: Tang, Yuqi, et autres
Publié: (2026)

CLIP-AGIQA: Boosting the Performance of AI-Generated Image Quality Assessment with CLIP
par: Tang, Zhenchen, et autres
Publié: (2024)

Unveiling Perceptual Artifacts: A Fine-Grained Benchmark for Interpretable AI-Generated Image Detection
par: Xiao, Yao, et autres
Publié: (2026)

OmniAID: Decoupling Semantic and Artifacts for Universal AI-Generated Image Detection in the Wild
par: Guo, Yuncheng, et autres
Publié: (2025)

Unsupervised Cross-domain Pulmonary Nodule Detection without Source Data
par: Xu, Rui, et autres
Publié: (2023)

HiMix: Hierarchical Artifact-aware Mixup for Generalized Synthetic Image Detection
par: Zhou, Shuchang, et autres
Publié: (2026)

Noise-Informed Diffusion-Generated Image Detection with Anomaly Attention
par: Guan, Weinan, et autres
Publié: (2025)

Detecting Human Artifacts from Text-to-Image Models
par: Wang, Kaihong, et autres
Publié: (2024)

GenShield: Unified Detection and Artifact Correction for AI-Generated Images
par: Xu, Zhipei, et autres
Publié: (2026)

Geometry-aware Prototype Learning for Cross-domain Few-shot Medical Image Segmentation
par: Song, Feifan, et autres
Publié: (2026)

A Sanity Check for AI-generated Image Detection
par: Yan, Shilin, et autres
Publié: (2024)

Raising the Bar of AI-generated Image Detection with CLIP
par: Cozzolino, Davide, et autres
Publié: (2023)

How Noise Benefits AI-generated Image Detection
par: Li, Ziqiang, et autres
Publié: (2025)

Curvilinear Structure-preserving Unpaired Cross-domain Medical Image Translation
par: Chen, Zihao, et autres
Publié: (2025)

Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks
par: Diao, Yunfeng, et autres
Publié: (2024)

Combating Pattern and Content Bias: Adversarial Feature Learning for Generalized AI-Generated Image Detection
par: Zhang, Haifeng, et autres
Publié: (2026)

Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning
par: Li, Yifei, et autres
Publié: (2025)

Exploring the Adversarial Robustness of CLIP for AI-generated Image Detection
par: De Rosa, Vincenzo, et autres
Publié: (2024)

Can We Build a Monolithic Model for Fake Image Detection? SICA: Semantic-Induced Constrained Adaptation for Unified-Yet-Discriminative Artifact Feature Space Reconstruction
par: Du, Bo, et autres
Publié: (2026)

Cross Spatial Temporal Fusion Attention for Remote Sensing Object Detection via Image Feature Matching
par: Amit, Abu Sadat Mohammad Salehin, et autres
Publié: (2025)

FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation
par: Bo, Yuntian, et autres
Publié: (2024)

JPEG AI Image Compression Visual Artifacts: Detection Methods and Dataset
par: Tsereh, Daria, et autres
Publié: (2024)

Aggregating Diverse Cue Experts for AI-Generated Image Detection
par: Tan, Lei, et autres
Publié: (2026)

IPAD-CLIP: Teaching CLIP to Detect Image Local Perceptual Artifacts
par: Wang, Juan, et autres
Publié: (2026)

HOLa: Zero-Shot HOI Detection with Low-Rank Decomposed VLM Feature Adaptation
par: Lei, Qinqian, et autres
Publié: (2025)

Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness
par: Li, Yiquan, et autres
Publié: (2024)

Vision Transformer with Super Token Sampling
par: Huang, Huaibo, et autres
Publié: (2022)

Handcrafted Feature Fusion for Reliable Detection of AI-Generated Images
par: Nirob, Syed Mehedi Hasan, et autres
Publié: (2026)

Multi-Feature Fusion Approach for Generative AI Images Detection
par: Sendjasni, Abderrezzaq, et autres
Publié: (2026)