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Awesome-Deepfakes-Detection

全面深度伪造检测资源库 数据集工具及最新研究

该项目汇集了深度伪造检测领域的综合资源,包括视频和图像数据集、开源检测工具、竞赛信息以及顶级会议论文。内容涵盖最新数据集、实用工具和前沿研究成果,为研究人员提供了深度伪造检测领域的全面参考资料,有助于快速掌握该领域的最新进展。

Awesome Deepfakes DetectionAwesome

from internet (image from internet)

A collection list of Deepfakes Detection related datasets, tools, papers, and code. If this list helps you on your research, a star will be my pleasure :)

If you want to contribute to this list, welcome to send me a pull request or contact me :)

This repository only collects papers related to Deepfake Detection. If you are also interested in Deepfakes generation, please refer to: Awesome Deepfakes.

Contents

Datasets

Video Datasets

  • UADFV: Exposing Deep Fakes Using Inconsistent Head Poses. Paper
  • EBV: In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking. Paper Download
  • Deepfake-TIMIT: DeepFakes: a New Threat to Face Recognition? Assessment and Detection. Paper Download
  • DFFD: On the Detection of Digital Face Manipulation. Paper Download
  • DeepfakeDetection: Download
  • Celeb-DF (v1): Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics. Paper Download
  • Celeb-DF (v2): Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics. Paper Download
  • DFDC: The DeepFake Detection Challenge (DFDC) Dataset. Paper Download
  • FaceForensic++: FaceForensics++: Learning to Detect Manipulated Facial Images. Paper Download
  • FFIW-10K: Face Forensics in the Wild. Paper Download
  • Deeper Forensic-1.0: DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection. Paper Download
  • Wild Deepfake: WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection. Paper Download
  • ForgeryNet: ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis. Paper Download
  • WLDR: Protecting World Leaders Against Deep Fakes. Paper
  • FakeAVCeleb: FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset. Paper Download
Real VideosFake VideosYearNote
UADFV49492018focus on head pose
EBV-492018focus on eye blinking
Deepfake-TIMIT3206402018GAN-Based methods
DFFD1,00030002019mutiple SOTA methods
DeepfakeDetection3633,0682019collect from actors with publicly available generation methods
Celeb-DF (v2)59056392019high quality
DFDC23,564104,5002019DFDC competition on Kaggle
FaceForensic++1,0005,0002019five different generation methods
FFIW-10K10,00010,0002019mutiple faces in one frame
WLDR--2019person of interest video from Youtube
DeeperForensics-1.050,00010,0002020add real-world perturbations
Wild-Deepfake3,8053,5092021collect from Internet
ForgeryNet99,630121,61720218 video-level generation methods, add perturbations
FakeAVCeleb50019,5002021audio-visual multi-modalies dataset

Image Datasets

  • DFFD: On the Detection of Digital Face Manipulation. Paper Download
  • iFakeFaceDB: GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection. Paper Download
  • 100k Faces Generated by AI (Online): Download
  • DFGC: DFGC 2021: A DeepFake Game Competition. Paper Dowload
  • ForgeryNet: ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis. Paper Download
Real ImagesFake ImagesYearNote
DFFD58,703240,3362019mutiple SOTA methods
iFakeFaceDB-87,000 (StyleGAN)2020generated by StyleGAN
100k Faces-100,000 (StyleGAN)2021generated by StyleGAN
DFGC1,000N*1,0002021DFGC 2021 competition, fake images generated by users
ForgeryNet1,438,2011,457,86120217 image-level generation methods, add perturbations

Competitions

NameLinkYearNote
Deepfake Detection ChallengeWebsite20191. video-level detection.
2. use DFDC datasets.
3. the first worldwide competition.
4. more than 2,000 teams participated.
DeepForensics ChallengeWebsite20201. video-level detection.
2. use DeeperForensics-1.0 datasets.
3. simulates real-world scenarios.
Deepfake Game CompetitionWebsite20211. both image-level generation and video-level detection track.
2. use Celeb-DF(v2) datasets.
Face Forgery Analysis ChallengeWebsite20211. both image-level and video-level detection track.
2. addtional temporal localization track.
3. use ForgeryNet dataset.

Tools

Recent Conference Papers

CVPR

  • Exploiting Style Latent Flows for Generalizing Video Deepfake Detection, CVPR 2024: Paper
  • AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection, CVPR 2024: Paper
  • Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection, CVPR 2024: Paper
  • Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection, CVPR 2024: Paper Github
  • LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection, CVPR 2024: Paper Github
  • Preserving Fairness Generalization in Deepfake Detection, CVPR 2024: Paper Github
  • Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization, CVPR 2023: Paper Github
  • Implicit Identity Driven Deepfake Face Swapping Detection, CVPR 2023: Paper
  • AltFreezing for More General Face Forgery Detection, CVPR 2023: Paper
  • AUNet: Learning Relations Between Action Units for Face Forgery Detection, CVPR 2023: Paper
  • Dynamic Graph Learning with Content-guided Spatial-Frequency Relation Reasoning for Deepfake Detection, CVPR 2023: Paper
  • TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization, CVPR 2023: Paper Github
  • Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection, CVPR 2023: Paper Github
  • Towards Universal Fake Image Detectors That Generalize Across Generative Models, CVPR 2023: Paper Github
  • DF-Platter: Multi-Face Heterogeneous Deepfake Dataset, CVPR 2023: Paper
  • Self-Supervised Video Forensics by Audio-Visual Anomaly Detection, CVPR 2023:
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