Cover Image

Learning Natural Consistency Representation for Face Forgery Video Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Daichi, Xiao, Zihao, Li, Shikun, Lin, Fanzhao, Li, Jianmin, Ge, Shiming
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

Latent Spatiotemporal Adaptation for Generalized Face Forgery Video Detection
by: Zhang, Daichi, et al.
Published: (2023)

DANCE: Dual-View Distribution Alignment for Dataset Condensation
by: Zhang, Hansong, et al.
Published: (2024)

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

Revisiting Face Forgery Detection: From Facial Representation to Forgery Detection
by: Guo, Zonghui, et al.
Published: (2024)

PKI: Prior Knowledge-Infused Neural Network for Few-Shot Class-Incremental Learning
by: Baoa, Kexin, et al.
Published: (2026)

SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection
by: Liang, Yachao, et al.
Published: (2025)

Federated Face Forgery Detection Learning with Personalized Representation
by: Liu, Decheng, et al.
Published: (2024)

On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection
by: Song, Xiufeng, et al.
Published: (2024)

Leveraging Hierarchical Image-Text Misalignment for Universal Fake Image Detection
by: Zhang, Daichi, et al.
Published: (2025)

Distilled Transformers with Locally Enhanced Global Representations for Face Forgery Detection
by: Zhang, Yaning, et al.
Published: (2024)

Learning to Discover Forgery Cues for Face Forgery Detection
by: Tian, Jiahe, et al.
Published: (2024)

Look Through Masks: Towards Masked Face Recognition with De-Occlusion Distillation
by: Li, Chenyu, et al.
Published: (2024)

Is It Possible to Backdoor Face Forgery Detection with Natural Triggers?
by: Han, Xiaoxuan, et al.
Published: (2023)

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

Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection
by: Liang, Jiawei, et al.
Published: (2024)

UniForensics: Face Forgery Detection via General Facial Representation
by: Fang, Ziyuan, et al.
Published: (2024)

Deep Learning Technology for Face Forgery Detection: A Survey
by: Ma, Lixia, et al.
Published: (2024)

WMamba: Wavelet-based Mamba for Face Forgery Detection
by: Peng, Siran, et al.
Published: (2025)

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

Trident: Detecting Face Forgeries with Adversarial Triplet Learning
by: Kara, Mustafa Hakan, et al.
Published: (2025)

Agent4FaceForgery: Multi-Agent LLM Framework for Realistic Face Forgery Detection
by: Lai, Yingxin, et al.
Published: (2025)

Direct Discrepancy Replay: Distribution-Discrepancy Condensation and Manifold-Consistent Replay for Continual Face Forgery Detection
by: Zhang, Tianshuo, et al.
Published: (2026)

Video Forgery Detection with Optical Flow Residuals and Spatial-Temporal Consistency
by: Xue, Xi, et al.
Published: (2025)

DevFD: Developmental Face Forgery Detection by Learning Shared and Orthogonal LoRA Subspaces
by: Zhang, Tianshuo, et al.
Published: (2025)

Contrastive Desensitization Learning for Cross Domain Face Forgery Detection
by: Qiu, Lingyu, et al.
Published: (2025)

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection
by: Cheng, Jikang, et al.
Published: (2024)

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM
by: Chen, Tao, et al.
Published: (2025)

MLLM-Enhanced Face Forgery Detection: A Vision-Language Fusion Solution
by: Peng, Siran, et al.
Published: (2025)

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

Masked Face Recognition with Generative-to-Discriminative Representations
by: Ge, Shiming, et al.
Published: (2024)

Counterfactual Explanations for Face Forgery Detection via Adversarial Removal of Artifacts
by: Li, Yang, et al.
Published: (2024)

OmniFD: A Unified Model for Versatile Face Forgery Detection
by: Liu, Haotian, et al.
Published: (2025)

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

Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues
by: Yu, Zitong, et al.
Published: (2022)

Divide and Conquer: Static-Dynamic Collaboration for Few-Shot Class-Incremental Learning
by: Bao, Kexin, et al.
Published: (2026)

Coupled Confusion Correction: Learning from Crowds with Sparse Annotations
by: Zhang, Hansong, et al.
Published: (2023)

Towards General Visual-Linguistic Face Forgery Detection
by: Sun, Ke, et al.
Published: (2023)

Towards General Visual-Linguistic Face Forgery Detection(V2)
by: Sun, Ke, et al.
Published: (2025)

M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
by: Zhang, Hansong, et al.
Published: (2023)

Open Set Face Forgery Detection via Dual-Level Evidence Collection
by: Cai, Zhongyi, et al.
Published: (2025)