Cover Image

Decoupling Forgery Semantics for Generalizable Deepfake Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ye, Wei, He, Xinan, Ding, Feng
Format:	Preprint
Published:	2024
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

DiffFace-Edit: A Diffusion-Based Facial Dataset for Forgery-Semantic Driven Deepfake Detection Analysis
by: Ding, Feng, et al.
Published: (2026)

Decoupling Bias, Aligning Distributions: Synergistic Fairness Optimization for Deepfake Detection
by: Ding, Feng, et al.
Published: (2025)

Redundant Semantic Environment Filling via Misleading-Learning for Fair Deepfake Detection
by: He, Xinan, et al.
Published: (2024)

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

Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection
by: Yan, Zhiyuan, et al.
Published: (2023)

Generalizable Deepfake Detection Based on Forgery-aware Layer Masking and Multi-artifact Subspace Decomposition
by: Zhang, Xiang, et al.
Published: (2026)

Preserving Fairness Generalization in Deepfake Detection
by: Lin, Li, et al.
Published: (2024)

Simplicity Prevails: The Emergence of Generalizable AIGI Detection in Visual Foundation Models
by: Zhou, Yue, et al.
Published: (2026)

Wavelet-Driven Generalizable Framework for Deepfake Face Forgery Detection
by: Baru, Lalith Bharadwaj, et al.
Published: (2024)

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection
by: Zhou, Yue, et al.
Published: (2025)

Toward Generalizable Forgery Detection and Reasoning
by: Gao, Yueying, et al.
Published: (2025)

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

Towards Generalizable Deepfake Detection via Forgery-aware Audio-Visual Adaptation: A Variational Bayesian Approach
by: Nie, Fan, et al.
Published: (2025)

Low-rank Orthogonal Subspace Intervention for Generalizable Face Forgery Detection
by: Wang, Chi, et al.
Published: (2026)

Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection
by: Ba, Zhongjie, et al.
Published: (2024)

MPF-Net: Exposing High-Fidelity AI-Generated Video Forgeries via Hierarchical Manifold Deviation and Micro-Temporal Fluctuations
by: He, Xinan, et al.
Published: (2026)

Selective Domain-Invariant Feature for Generalizable Deepfake Detection
by: Lai, Yingxin, et al.
Published: (2024)

Deepfake Forensics Adapter: A Dual-Stream Network for Generalizable Deepfake Detection
by: Liao, Jianfeng, et al.
Published: (2026)

Learning Expressive And Generalizable Motion Features For Face Forgery Detection
by: Zhang, Jingyi, et al.
Published: (2024)

Generalizable Face Forgery Detection via Separable Prompt Learning
by: Yang, Enrui, et al.
Published: (2026)

Exploring Specular Reflection Inconsistency for Generalizable Face Forgery Detection
by: Fei, Hongyan, et al.
Published: (2026)

FairAdapter: Detecting AI-generated Images with Improved Fairness
by: Ding, Feng, et al.
Published: (2024)

Towards Real-World Deepfake Detection: A Diverse In-the-wild Dataset of Forgery Faces
by: Shi, Junyu, et al.
Published: (2025)

Listening Deepfake Detection: A New Perspective Beyond Speaking-Centric Forgery Analysis
by: Liu, Miao, et al.
Published: (2026)

DeepShield: Fortifying Deepfake Video Detection with Local and Global Forgery Analysis
by: Cai, Yinqi, et al.
Published: (2025)

Unmasking Deepfakes: Masked Autoencoding Spatiotemporal Transformers for Enhanced Video Forgery Detection
by: Das, Sayantan, et al.
Published: (2023)

Suppressing Gradient Conflict for Generalizable Deepfake Detection
by: Liu, Ming-Hui, et al.
Published: (2025)

Forgery Guided Learning Strategy with Dual Perception Network for Deepfake Cross-domain Detection
by: Jia, Lixin, et al.
Published: (2025)

Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Learning
by: Tan, Chuangchuang, et al.
Published: (2024)

When Generative Replay Meets Evolving Deepfakes: Domain-Aware Relative Weighting for Incremental Face Forgery Detection
by: Shen, Hao, et al.
Published: (2025)

ReAlign: Generalizable Image Forgery Detection via Reasoning-Aligned Representation
by: Huang, Qing, et al.
Published: (2026)

Unlocking the Hidden Potential of CLIP in Generalizable Deepfake Detection
by: Yermakov, Andrii, et al.
Published: (2025)

SELFI: Selective Fusion of Identity for Generalizable Deepfake Detection
by: Kim, Younghun, et al.
Published: (2025)

Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection
by: Yu, Peipeng, et al.
Published: (2025)

FakeRadar: Probing Forgery Outliers to Detect Unknown Deepfake Videos
by: Li, Zhaolun, et al.
Published: (2025)

Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style Mixture
by: Kong, Chenqi, et al.
Published: (2024)

Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection
by: Lin, Yuzhen, et al.
Published: (2024)

Beyond Flicker: Detecting Kinematic Inconsistencies for Generalizable Deepfake Video Detection
by: Cobo, Alejandro, et al.
Published: (2025)

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

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