A collection of quick links to image forensics papers, datasets and codebases which are awesome.

Review

• Deep Learning for Deepfakes Creation and Detection (arxiv2019) [paper]

Challenges

• DeepFake Challenge [Link]
• FaceForensics Benchmark [Link]

Past Workshops

• CVPR 2019: Workshop on Media Forensics [Link]
• CVPR 2017: Workshop on Media Forensics [Link]

2019

• CNN-generated images are surprisingly easy to spot... for now (arxiv2019) [paper][code]
• A Fourier Perspective on Model Robustness in Computer Vision (arxiv2019) [paper]
• On the Detection of Digital Face Manipulation (arxiv2019) [paper]
• FakeSpotter: A Simple Baseline for SpottingAI-Synthesized Fake Faces (arxiv2019) [paper]
• Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (arxiv2019) [paper] [code]
• FaceForensics++: Learning to Detect Manipulated Facial Images (ICCV2019) [paper] [code] [page video]
• Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints (ICCV2019) [paper] [code]
• Exposing deep fakes using inconsistent head poses (ICASSP2019) [paper]
• Exposing DeepFake Videos By Detecting Face Warping Artifacts (CVPRW2019) [paper] [code]
• Celeb-DF: A New Dataset for DeepFake Forensics [paper] [dataset]
• Protecting World Leaders against Deepfakes (CVPRW2019) [paper] [code]
• Towards Robust Open-World Detection of Deepfakes (CCS19) [paper]
• FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals (arxiv2019) [paper]
• To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics (arxiv2019) [paper]
• On the Detection of Digital Face Manipulation (arxiv2019) [paper]
• Use of a capsule network to detect fake images and videos (arxiv2019) [paper]
• Towards Generalizable Forgery Detection with Locality-aware AutoEncoder (arxiv2019) [paper]
• Exploiting Human Social Cognition for theDetection of Fake and Fraudulent Faces via Memory Networks (arxiv2019) [paper]

2018

• MesoNet: a Compact Facial Video Forgery Detection Network (WIFS2018) [paper code]
• Deep Video Portraits (SIGGRAPH2018) [paper]
• Do GANs leave artificial fingerprints? (arxiv2019) [paper]

Papers & Surveys (Traditional)

• Detecting digital image forgeries using sensor pattern noise () [paper]
• Survey on blind image forgery detection [paper]

Note: This might not be representative of the papers which exist in the community. It is a single page to point people to for reference, relevant to deepfake detection.