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21 search results found

Sherloq ⭐ 2,467

An open-source digital image forensic toolset

Towards Flexible Blind JPEG Artifacts Removal (FBCNN, ICCV 2021)

Cat Net ⭐ 170

Official code for CAT-Net: Compression Artifact Tracing Network. Image manipulation detection and localization.

Forensic ⭐ 109

Copy-move image forgery detection library.

[ICCV 2023] Official implementation of the paper: "DIRE for Diffusion-Generated Image Detection"

Image Research Osint ⭐ 91

Learn how to rsearch images and the tools, techniques & tradecraft required.

Neural Imaging ⭐ 60

[CVPR'19, ICLR'20] A Python toolbox for modeling and optimization of photo acquisition & distribution pipelines (camera ISP, compression, forensics, manipulation detection)

Gan Image Detection ⭐ 35

GAN-generated image detection based on CNNs

Manipulation Detection ⭐ 30

Tampering detection related sources

phoenix is a small command line image forensics tool

Style Atk ⭐ 21

Author implementation of Exploring Adversarial Fake Images on Face Manifold (CVPR 2021 oral)

Nivscg Keras ⭐ 18

Distinguishing Between Natural and Computer-Generated Images Using Convolutional Neural Networks in Keras.

Cgvsphoto ⭐ 16

Computer Graphics vs Real Photographic Images : A Deep-learning approach

Coverage ⭐ 16

Copy-Move forgery database with similar but Genuine objects. ICIP2016 paper

Altfreezing ⭐ 14

[CVPR 2023 Highlight] Official implementation of the paper: "AltFreezing for More General Video Face Forgery Detection"

Image_forgery_detection_papers ⭐ 10

A collection of deep learning approaches and datasets publicly available for image forgery and deepfakes detection

Transferable Forensic Features ⭐ 7

[ECCV 2022: Oral] In this work, we discover that color is a crtical transferable forensic feature (T-FF) in universal detectors for detecting CNN-generated images.

Sci_dtcwt ⭐ 7

Source camera identification with dual-tree complex wavelet transform. IEEE Access, 2020.

Jcst_nivscg ⭐ 6

Code for paper "Distinguishing Computer-Generated Images from Natural Images Using Channel and Pixel Correlation"

Processing History Of Images ⭐ 5

💡 Detecting processing history of images by using Deep Learning

Copy_move_forgery_detection ⭐ 5

Detection of copy-move forgery in an image with CMDF methods. (SIFT, SURF, AKAZE, RANSAC)

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1-21 of 21 search results

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