Alternatives and similar repositories for image-forensics

Users that are interested in image-forensics are comparing it to the libraries listed below

• caomw / matlab-forensics
  MATLAB implementations of popular Image Forensic algorithms
  ☆86Updated 9 years ago
• grip-unina / noiseprint
  Noiseprint, a CNN-based camera model fingerprint
  ☆149Updated 2 years ago
• pkorus / multiscale-prnu
  Multi-scale Analysis Strategies in PRNU-based Tampering Localization
  ☆58Updated 5 years ago
• yannadani / image_tampering_detection_references
  A list of papers, codes and other interesting collections pertaining to image tampering detection and localization.
  ☆155Updated 7 years ago
• pengzhou1108 / RGB-N
  ☆169Updated 3 years ago
• lorecioni / ImageSplicingDetection
  Illuminant inconsistencies for image splicing detection in forensics
  ☆44Updated 8 years ago
• yuezunli / DSP-FWA
  DSP-FWA: Dual Spatial Pyramid for Exposing Face Warp Artifacts in DeepFake Videos
  ☆69Updated last year
• jawadbappy / forgery_localization_HLED
  Implementation of "Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries" paper.
  ☆104Updated 5 years ago
• ISICV / ManTraNet
  ManTra-Net: Manipulation Tracing Network For Detection And Localization of Image Forgeries With Anomalous Features
  ☆293Updated 5 years ago
• polimi-ispl / prnu-python
  Python implementation of PRNU extractor
  ☆79Updated 2 years ago
• isi-vista / BusterNet
  ☆71Updated 7 years ago
• wenbihan / coverage
  Copy-Move forgery database with similar but Genuine objects. ICIP2016 paper
  ☆42Updated 7 years ago
• nii-yamagishilab / Capsule-Forensics-v2
  Implementation of the Capsule-Forensics-v2
  ☆120Updated 3 years ago
• minyoungg / selfconsistency
  Code for the paper: Fighting Fake News: Image Splice Detection via Learned Self-Consistency
  ☆194Updated 3 years ago
• AKASH2907 / image_forgery_detection_papers
  A collection of deep learning approaches and datasets publicly available for image forgery and deepfakes detection
  ☆58Updated 5 years ago
• yuezunli / CVPRW2019_Face_Artifacts
  Exposing DeepFake Videos By Detecting Face Warping Artifacts
  ☆132Updated 4 years ago
• andrewlevandoski / Image-Forgery-Detection
  ☆59Updated 4 years ago
• rnazali / pimage
  Image copy-move detector
  ☆163Updated this week
• MohsenZandi / Copy-Move_Forgery_Detection
  In this repository there are implementations of many Copy-Move forgery detection (CMFD) methods.
  ☆47Updated 7 years ago
• namtpham / casia2groundtruth
  Groundtruth images of tampering dataset CASIA 2.0
  ☆166Updated 3 years ago
• dawson-chen / image_manipulation_detector
  A tensorflow implementation of paper "A Deep Learning Approach To Universal Image Manipulation Detection Using A New Convolutional Layer"
  ☆15Updated 6 years ago
• yuezunli / celeb-deepfakeforensics
  Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
  ☆307Updated 2 years ago
• vinthony / image-splicing-localization
  image splicing locailzation using CNN
  ☆23Updated 5 years ago
• cc-hpc-itwm / DeepFakeDetection
  ☆176Updated 5 years ago
• pkorus / neural-imaging
  [CVPR'19, ICLR'20] A Python toolbox for modeling and optimization of photo acquisition & distribution pipelines (camera ISP, compression,…
  ☆162Updated 2 years ago
• nii-yamagishilab / ClassNSeg
  Implementation and demonstration of the paper: Multi-task Learning for Detecting and Segmenting Manipulated Facial Images and Videos
  ☆87Updated 6 years ago
• jesse1029 / Fake-Face-Images-Detection-Tensorflow
  Learning to detect fake face images in the wild. We use a deep fully convolutional network based on Siamese network and contrastive loss.
  ☆96Updated 2 months ago
• namtpham / casia1groundtruth
  Groundtruth images of tampering dataset CASIA 1.0
  ☆64Updated 3 years ago
• grasses / Constrained-CNN
  Code for paper "Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection"
  ☆43Updated 5 years ago
• agusgun / FakeImageDetector
  Image Tampering Detection using ELA and CNN
  ☆213Updated 2 years ago