Awesome Face Forgery Generation and Detection

A curated list of articles and codes related to face forgery generation and detection.

This collection is associated with our following survey paper on face forgery generation and detection.

Deep visual identity forgery and detection [Paper] (in Chinese)
Chunlei Peng, Xinbo Gao, Nannan Wang, Jie Li.
SCIENTIA SINICA Informationis, 2021.

Contributing

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Please feel free to send me pull requests or email (clp.xidian@gmail.com) to update this list together!

Table of Contents

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• Target-specific Face Forgery
  • Face Swap
  • Face Manipulation
    • Attribute Manipulation
    • Expression Reenactment
    • Cross-modality Driven
• Target-generic Face Forgery
• Face Forgery Detection
  • Spatial Clue for Detection
  • Temporal Clue for Detection
  • Audio+ Clue for Detection
  • Generalizable Detection
  • Spoofing Detection
• Databases
• Survey

Target-specific Face Forgery

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Face Swap

• deepfakes/faceswap (Github) [Code]
• iperov/DeepFaceLab (Github) [Paper] [Code]
• Fast face-swap using convolutional neural networks (2017 ICCV) [Paper]
• On face segmentation, face swapping, and face perception (2018 FG) [Paper] [Code]
• RSGAN: face swapping and editing using face and hair representation in latent spaces (2018 arXiv) [Paper]
• FSNet: An identity-aware generative model for image-based face swapping (2018 ACCV) [Paper]
• Towards open-set identity preserving face synthesis (2018 CVPR) [Paper]
• FSGAN: Subject Agnostic Face Swapping and Reenactment (2019 ICCV) [Paper] [Code]
• FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment (2022 TPAMI) [Paper]
• Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation (2020 AIES) [Paper]
• Advancing High Fidelity Identity Swapping for Forgery Detection (2020 CVPR) [Paper] [arXiv version]
• SimSwap: An Efficient Framework For High Fidelity Face Swapping (2020 ACMMM) [Paper] [Code]
• Using GANs to Synthesise Minimum Training Data for Deepfake Generation (202011 arXiv) [Paper]
• FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains (2021 CVPR) [Paper]
• One Shot Face Swapping on Megapixels (2021 CVPR) [Paper] [Code]
• Detecting Deep-Fake Videos from Aural and Oral Dynamics (2021 CVPRW) [Paper]
• HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping (2021 IJCAI) [Paper] [Code] [Project]
• ShapeEditer: a StyleGAN Encoder for Face Swapping (202106 arXiv) [Paper]
• Smooth-Swap: A Simple Enhancement for Face-Swapping with Smoothness (202112 arXiv) [Paper]
• MobileFaceSwap: A Lightweight Framework for Video Face Swapping (2022 AAAI) [Paper]
• High-resolution face swapping via latent semantics disentanglement (2022 AAAI) [Paper] [Code]
• Migrating Face Swap to Mobile Devices: A lightweight Framework and A Supervised Training Solution (2022 ICME) [Paper] [Code]
• Learning Disentangled Representation for One-shot Progressive Face Swapping (202203 arXiv) [Paper] [Code]

Face Manipulation

Attribute Manipulation

• Learning residual images for face attribute manipulation (2017 CVPR) [Paper] [Code]
• Fader networks: Manipulating images by sliding attributes (2017 NeurIPS) [Paper] [Code]
• StarGAN: Unified generative adversarial networks for multi-domain image-to-image translation (2018 CVPR) [Paper] [Code]
• Facelet-Bank for Fast Portrait Manipulation (2018 CVPR) [Paper] [Code]
• Glow: Generative flow with invertible 1x1 convolutions (2018 NeurIPS) [Paper] [Code]
• Mask-aware Photorealistic Facial Attribute Manipulation (2021 CVM) [Paper]
• Sparsely Grouped Multi-Task Generative Adversarial Networks for Facial Attribute Manipulation (2018 ACMMM) [Paper] [Code]
• AttGAN: Facial attribute editing by only changing what you want (2019 TIP) [Paper] [Code]
• STGAN: A unified selective transfer network for arbitrary image attribute editing (2019 CVPR) [Paper] [Code]
• Semantic Component Decomposition for Face Attribute Manipulation (2019 CVPR) [Paper] [Code]
• Make a Face: Towards Arbitrary High Fidelity Face Manipulation (2019 ICCV) [Paper]
• Towards Automatic Face-to-Face Translation (2019 ACMMM) [Paper] [Code]
• MulGAN: Facial Attribute Editing by Exemplar (2019 arXiv) [Paper]
• MaskGAN: Towards Diverse and Interactive Facial Image Manipulation (2020 CVPR) [Paper] [Code]
• PuppetGAN: Cross-Domain Image Manipulation by Demonstration (2019 ICCV) [Paper] [Code]
• StarGAN v2: Diverse Image Synthesis for Multiple Domains (2020 CVPR) [Paper] [Code]
• Fine-Grained Expression Manipulation via Structured Latent Space (2020 ICME) [Paper] [Code]
• Towards Photo-Realistic Facial Expression Manipulation (2020 IJCV) [Paper]
• GANSpace Discovering Interpretable GAN Controls (2020 NeurIPS) [Paper] [Code]
• InterFaceGAN - Interpreting the Latent Space of GANs for Semantic Face Editing (2020 TPAMI) [Paper] [Code]
• FaceController: Controllable Attribute Editing for Face in the Wild (2021 AAAI) [Paper]
• High-Fidelity and Arbitrary Face Editing (2021 CVPR) [Paper] [Code]
• HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (2021 CVPR) [Paper] [Code]
• High Fidelity Face Manipulation with Extreme Poses and Expressions (2021 TIFS) [Paper]
• Cross-Domain and Disentangled Face Manipulation with 3D Guidance (202104 arXiv) [Paper] [Code]
• Transforming the Latent Space of StyleGAN for Real Face Editing (202105 arXiv) [Paper] [Code]
• Initiative Defense against Facial Manipulation (2021 AAAI) [Paper]
• Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation (2021 ACMMM) [Paper] [Code]
• StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows (2021 ACM TOG) [Paper] [Code]
• PTI: Pivotal Tuning for Latent-based editing of Real Images (202106 arXiv) [Paper] [Code]
• FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces (2021 BMVC) [Paper] [Code]
• Disentangled Lifespan Face Synthesis (2021 ICCV) [Paper] [Code]
• GAN-Control: Explicitly Controllable GANs (2021 ICCV) [Paper]
• BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation (2021 NeurIPS) [Paper] [Code]
• Gated SwitchGAN for multi-domain facial image translation (2021 TMM) [Paper]
• Identity-Guided Face Generation with Multi-modal Contour Conditions (202110 arXiv) [Paper]
• LSC-GAN: Latent Style Code Modeling for Continuous Image-to-image Translation (202110 arXiv) [Paper] [Code]
• StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN (202111 arXiv) [Paper] [Code]
• CLIP2StyleGAN: Unsupervised Extraction of StyleGAN Edit Directions (202112 arXiv) [Paper]
• HairCLIP: Design Your Hair by Text and Reference Image (2022 CVPR) [Paper] [Code]
• SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches (2022 CVPR) [Paper] [Code]
• SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing (2022 CVPR) [Paper] [Code]
• MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation (2022 AAAI) [Paper]
• FEAT: Face Editing with Attention (202202 arXiv) [Paper]
• FENeRF: Face Editing in Neural Radiance Fields (2022 CVPR) [Paper] [Code]
• TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing (2022 CVPR) [Paper] [Code]

Expression Reenactment

• Real-time expression transfer for facial reenactment (2015 TOG) [Paper]

• Face2face: Real-time face capture and reenactment of RGB videos (2016 CVPR) [Paper]

• ReenactGAN: Learning to reenact faces via boundary transfer (2018 ECCV) [Paper] [Code]

• HeadOn: Real-time Reenactment of Human Portrait Videos (2018 TOG) [Paper]

• Deep video portraits (2018 TOG) [Paper]

• ExprGAN: Facial expression editing with controllable expression intensity (2018 AAAI) [Paper] [Code]

• Geometry guided adversarial facial expression synthesis (2018 ACMMM) [Paper]

• GANimation: Anatomically-aware facial animation from a single image (2018 ECCV) [Paper] [Code]

• Generating Photorealistic Facial Expressions in Dyadic Interactions (2018 BMVC) [Paper]

• Dynamic Facial Expression Generation on Hilbert Hypersphere with Conditional Wasserstein Generative Adversarial Nets (2020 TPAMI) [Paper]

• 3D guided fine-grained face manipulation (2019 CVPR) [Paper]

• Few-shot adversarial learning of realistic neural talking head models (2019 ICCV) [Paper] [Code1] [Code2] [Code3]

• Deferred Neural Rendering: Image Synthesis using Neural Textures (2019 TOG) [Paper] [Code]

• MarioNETte: Few-shot Face Reenactment Preserving Identity of Unseen Targets (2020 AAAI) [Paper]

• Unconstrained Facial Expression Transfer using Style-based Generator (2019 arXiv) [Paper]

• One-shot Face Reenactment (2019 BMVC) [Paper] [Code]

• ICface: Interpretable and Controllable Face Reenactment Using GANs (2020 WACV) [Paper] [Code]

• Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose (2020 AAAI) [Paper]

• APB2Face: Audio-guided face reenactment with auxiliary pose and blink signals (2020 ICASSP) [Paper] [Code]

• One-Shot Identity-Preserving Portrait Reenactment (202004 arXiv) [Paper]

• FReeNet: Multi-Identity Face Reenactment (2020 CVPR) [Paper] [Code]

• Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment (2020 CVPR) [Paper]

• FaR-GAN for One-Shot Face Reenactment (202005 arXiv) [Paper]

• ReenactNet: Real-time Full Head Reenactment (2020 FG) [Paper]

• APB2FaceV2: Real-Time Audio-Guided Multi-Face Reenactment (202010 arXiv) [Paper] [Code]

• Realistic Talking Face Synthesis With Geometry-Aware Feature Transformation (2020 ICIP) [Paper]

• Mesh Guided One-shot Face Reenactment using Graph Convolutional Networks (2020 ACMMM) [Paper]

• Neural Head Reenactment with Latent Pose Descriptors (2020 CVPR) [Paper] [Code]

• Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars (2020 CVPR) [Paper] [Code]

• MEAD: A Large-scale Audio-visual Dataset for Emotional Talking-face Generation (2020 ECCV) [Paper] [Code] [Dataset]

• FACEGAN: Facial Attribute Controllable rEenactment GAN (2021 WACV) [Paper] [Code]

• One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing (2021 CVPR) [Paper] [Code]

• AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis (2021 ICCV) [Paper] [Code]

• One-shot Face Reenactment Using Appearance Adaptive Normalization (2021 AAAI) [Paper]

• Pareidolia Face Reenactment (2021 CVPR) [Paper] [Code]

• LI-Net: Large-Pose Identity-Preserving Face Reenactment Network (2021 ICME) [Paper]

• Fine-grained Identity Preserving Landmark Synthesis for Face Reenactment (202110 arXiv) [Paper]

• Talking Head Generation with Audio and Speech Related Facial Action Units (2021 BMVC) [Paper]

• DFA-NeRF: Personalized Talking Head Generation via Disentangled Face Attributes Neural Rendering (202201 arXiv) [Paper]

• Finding Directions in GAN's Latent Space for Neural Face Reenactment (202202 arXiv) [Paper]

• Thinking the Fusion Strategy of Multi-reference Face Reenactment (202202 arXiv) [Paper]

• Neural Emotion Director: Speech-preserving semantic control of facial expressions in “in-the-wild” videos (2022 CVPR) [Paper] [Code]

• Depth-Aware Generative Adversarial Network for Talking Head Video Generation (2022 CVPR) [Paper] [Code]

• Dual-Generator Face Reenactment (2022 CVPR) [Paper] [Code]

Cross-modality Manipulation

• Synthesizing Obama: learning lip sync from audio (2017 TOG) [Paper] [Code]
• Obamanet: Photo-realistic lip-sync from text (2017 NIPSW) [Paper]
• Face synthesis from visual attributes via sketch using conditional VAEsand GANs (2017 arXiv) [Paper]
• GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks (2018 ICPR) [Paper]
• X2Face: A network for controlling face generation by using images, audio, and pose codes (2018 ECCV) [Paper] [Code]
• Speech2Face: Learning the Face Behind a Voice (2019 CVPR) [Paper]
• Face Reconstruction from Voice using Generative Adversarial Networks (2019 NeurIPS) [Paper]
• Neural Voice Puppetry: Audio-driven Facial Reenactment (2020 ECCV) [Paper]
• Realistic Speech-Driven Facial Animation with GANs (2019 IJCV) [Paper]
• You said that?: Synthesising talking faces from audio (2019 IJCV) [Paper]
• Text-based editing of talking-head video (2019 TOG) [Paper]
• FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation (2019 arXiv) [Paper]
• Hierarchical Cross-Modal Talking Face Generationwith Dynamic Pixel-Wise Loss (2019 CVPR) [Paper] [Code]
• Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks (2019 ICASSP) [Paper] [Code]
• Talking Face Generation by Adversarially Disentangled Audio-Visual Representation (2019 AAAI) [Paper] [Code]
• Everybody’s Talkin’: Let Me Talk as You Want (2022 TIFS) [Paper]
• Identity-Preserving Realistic Talking Face Generation (2020 IJCNN) [Paper]
• Talking-head Generation with Rhythmic Head Motion (2020 ECCV) [Paper] [Code]
• FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation Synthesis (2020 AAAI) [Paper] [Code]
• A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild (2020 ACMMM) [Paper] [Code]
• Talking Face Generation with Expression-Tailored Generative Adversarial Network (2020 ACMMM) [Paper]
• From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech (2020 ICLR) [Paper]
• Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning (2020 IJCAI) [Paper]
• MakeItTalk: Speaker-Aware Talking-Head Animation (2020 Siggraph Asia) [Paper] [Code]
• Facial Keypoint Sequence Generation from Audio (202011 arXiv) [Paper]
• LandmarkGAN: Synthesizing Faces from Landmarks (202011 arXiv) [Paper]
• Stochastic Talking Face Generation Using Latent Distribution Matching (202011 arXiv) [Paper]
• StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery (2021 ICCV) [Paper] [Code]
• TediGAN: Text-Guided Diverse Face Image Generation and Manipulation (2021 CVPR) [Paper] [Code]
• Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation (2021 CVPR) [Paper] [Code]
• Flow-guided One-shot Talking Face Generation with a High-resolution Audio-visual Dataset (2021 CVPR) [Paper] [Code]
• Talk-to-Edit: Fine-Grained Facial Editing via Dialog (2021 ICCV) [Paper] [Code]
• Text2Video: Text-driven Talking-head Video Synthesis with Personalized Phoneme-Pose Dictionary (202104 arXiv) [Paper] [Code]
• Controlled AutoEncoders to Generate Faces from Voices (2020 ISVC) [Paper]
• Imitating Arbitrary Talking Style for Realistic Audio-Driven Talking Face Synthesis (2021 ACMMM) [Paper] [Code]
• AI-generated characters for supporting personalized learning and well-being (2021 nature machine intelligence) [Paper] [Code]
• Audio-Driven Talking Face Video Generation with Dynamic Convolution Kernels (2022 TMM) [Paper]
• StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation (2022 WACV) [Paper] [Code]
• One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learning (2022 AAAI) [Paper]
• AnyFace: Free-style Text-to-Face Synthesis and Manipulation (2022 CVPR) [Paper]
• Expressive Talking Head Generation with Granular Audio-Visual Control (2022 CVPR) [Paper]
• Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning (2022 CVPR) [Paper] [Code]
• StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis (2022 CVPR) [Paper] [Code]
• DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation (2022 WACV) [Paper] [Code]
• GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models (2022 ICML) [Paper] [Code]
• AnyFace: Free-style Text-to-Face Synthesis and Manipulation (202203 arXiv) [Paper]
• Attention-Based Lip Audio-Visual Synthesis for Talking Face Generation in the Wild (202203 arXiv) [Paper]
• StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN (202203 arXiv) [Paper] [Code]

Target-generic Face Forgery (Representative)

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• Generative Adversarial Nets (2014 NeurIPS) [Paper] [Code]
• (DCGAN) Unsupervised representation learning with deep convolutional generative adversarial networks (2016 ICLR) [Paper] [Code]
• (ProGAN) Progressive growing of GANs for improved quality, stability, and variation (2018 ICLR) [Paper] [Code]
• Spectral normalization for generative adversarial networks (2018 ICLR) [Paper] [Code] [Code]
• Self-attention generative adversarial networks (2019 ICML) [Paper] [Code]
• (StyleGAN) A Style-Based Generator Architecture for Generative Adversarial Networks (2019 CVPR) [Paper] [Code]
• (BigGAN) Large Scale GAN Training for High Fidelity Natural Image Synthesis (2019 ICLR) [Paper] [Code1] [Code2]
• (StyleGAN2) Analyzing and improving the image quality of StyleGAN (2020 CVPR) [Paper] [Code1] [Code2]
• One-Shot Domain Adaptation For Face Generation (2020 CVPR) [Paper]
• (ALAE) Adversarial Latent Autoencoders (2020 CVPR) [Paper] [Code]
• (CUT) Contrastive Learning for Unpaired Image-to-Image Translation (2020 ECCV) [Paper] [Code]
• Improved StyleGAN Embedding: Where are the Good Latents? (202012 arXiv) [Paper] [Code]
• StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation (2021 CVPR) [Paper] [Code]
• (StyleGAN3) Alias-Free Generative Adversarial Networks (2021 NIPS) [Paper] [Code]
• StyleSwin: Transformer-based GAN for High-resolution Image Generation (2021 CVPR) [Paper] [Code]
• Diffusion Models Beat GANs on Image Synthesis (2021 NIPS) [Paper]
• Perception Prioritized Training of Diffusion Models (2022 CVPR) [Paper] [Code]
• Expanding the Latent Space of StyleGAN for Real Face Editing (202204 arXiv) [Paper]

Face Forgery Detection

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Spatial Clue for Detection

• Automated face swapping and its detection (2017 ICSIP) [Paper]

• Two-stream neural networks for tampered face detection (2017 CVPRW) [Paper]

• Can Forensic Detectors Identify GAN Generated Images? (2018 APSIPA) [Paper]

• Deepfakes: a new threat to face recognition? assessment and detection (2018 arXiv) [Paper]

• Identification of Deep Network Generated Images Using Disparities in Color Components (2020 Signal Processing) [Paper] [Code]

• Fake Faces Identification via Convolutional Neural Network (2018 IH&MMSec) [Paper]

• Learning to detect fake face images in the wild (2018 IS3C) [Paper] [Code]

• Detecting Both Machine and Human Created Fake Face Images In the Wild (2018 MPS) [Paper]

• Detection of Deepfake Video Manipulation (2018 IMVIP) [Paper]

• Secure detection of image manipulation by means of random feature selection (2019 TIFS) [Paper]

• Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks (2019 arXiv) [Paper]

• Swapped Face Detection using Deep Learning and Subjective Assessment (2020 EURASIP) [Paper]

• Detection of Fake Images Via The Ensemble of Deep Representations from Multi Color Spaces (2019 ICIP) [Paper]

• Detection GAN-Generated Imagery Using Saturation Cues (2019 ICIP) [Paper]

• Detecting GAN generated fake images using co-occurrence matrices (2019 Electronic Imaging) [Paper]

• Exposing DeepFake Videos By Detecting Face Warping Artifacts (2019 CVPRW) [Paper] [Code]

• Exposing GAN-synthesized Faces Using Landmark Locations (2019 IHMS) [Paper]

• Exploiting Visual Artifacts to Expose Deepfakes and Face Manipulations (2019 WACVW) [Paper] [Code]

• Detecting and Simulating Artifacts in GAN Fake Images (2019 WIFS) [Paper] [Code]

• On the detection of digital face manipulation (2020 CVPR) [Paper]

• On the generalization of GAN image forensics (2019 CCBR) [Paper]

• Unmasking DeepFakes with simple Features (2019 arXiv) [Paper] [Code]

• Face image manipulation detection based on a convolutional neural network (2019 ESWA) [Paper]

• Do GANs leave artificial fingerprints? (2019 MIPR) [Paper]

• Attributing fake images to GANs: Learning and analyzing GAN fingerprints (2019 ICCV) [Paper] [Code]

• Multi-task learning for detecting and segmenting manipulated facial images and videos (2019 BTAS) [Paper] [Code]

• Poster: Towards Robust Open-World Detection of Deepfakes (2019 CCS) [Paper]

• Extracting deep local features to detect manipulated images of human faces (2020 ICIP) [Paper]

• Zooming into Face Forensics: A Pixel-level Analysis (2019 arXiv) [Paper]

• Fakespotter: A simple baseline for spotting ai-synthesized fake faces (2020 IJCAI) [Paper]

• Capsule-forensics: Using capsule networks to detect forged images and videos (2019 ICASSP) [Paper] [Code]

• Use of a Capsule Network to Detect Fake Images and Videos (2019 arXiv) [Paper] [Code]

• Deep Fake Image Detection based on Pairwise Learning (2020 Applied Science) [Paper]

• Detecting Face2Face Facial Reenactment in Videos (2020 WACV) [Paper]

• FakeLocator: Robust Localization of GAN-Based Face Manipulations (2022 TIFS) [Paper]

• FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network (2020 IFIP) [Paper] [Code]

• Global Texture Enhancement for Fake Face Detection in the Wild (2020 CVPR) [Paper]

• Detecting Deepfakes with Metric Learning (2020 IWBF) [Paper]

• Fake Generated Painting Detection via Frequency Analysis (2020 ICIP) [Paper]

• Leveraging Frequency Analysis for Deep Fake Image Recognition (2020 ICML) [Paper] [Code]

• One-Shot GAN Generated Fake Face Detection (202003 arXiv) [Paper]

• DeepFake Detection by Analyzing Convolutional Traces (2020 CVPRW) [Paper] [Website]

• DeepFakes Evolution: Analysis of Facial Regions and Fake Detection Performance (2021 ICPR) [Paper]

• On the use of Benford's law to detect GAN-generated images (2021 ICPR) [Paper] [Code]

• Video Face Manipulation Detection Through Ensemble of CNNs (2021 ICPR) [Paper] [Code]

• Detecting Forged Facial Videos using convolutional neural network (202005 arXiv) [Paper]

• Fake Face Detection via Adaptive Residuals Extraction Network (202005 arXiv) [Paper] [Code]

• Manipulated Face Detector: Joint Spatial and Frequency Domain Attention Network (202005 arXiv) [Paper]

• A Face Preprocessing Approach for Improved DeepFake Detection (202006 arXiv) [Paper]

• A Note on Deepfake Detection with Low-Resources (202006 arXiv) [Paper]

• Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues (2020 ECCV) [Paper]

• CNN Detection of GAN-Generated Face Images based on Cross-Band Co-occurrences Analysis (2020 WIFS) [Paper] [Code]

• Detection, Attribution and Localization of GAN Generated Images (2021 Electronic Imaging) [Paper]

• Two-branch Recurrent Network for Isolating Deepfakes in Videos (2020 ECCV) [Paper]

• What makes fake images detectable? Understanding properties that generalize (2020 ECCV) [Paper] [Code]

• DeepFake Detection Based on Discrepancies Between Faces and their Context (2021 TPAMI) [Paper]

• Deep Detection for Face Manipulation (2020 ICNIP) [Paper]

• Exposing GAN-generated faces using inconsistent corneal specular highlights (2021 ICASSP) [Paper]

• Face Forgery Detection by 3D Decomposition (2021 CVPR) [Paper]

• Identifying Invariant Texture Violation for Robust Deepfake Detection (202012 arXiv) [Paper]

• Learning to Recognize Patch-Wise Consistency for Deepfake Detection (202012 arXiv) [Paper]

• Fourier Spectrum Discrepancies in Deep Network Generated Images (2020 NeurIPS) [Paper] [Code]

• Gradient-Based Illumination Description for Image Forgery Detection (2020 TIFS) [Paper]

• Fighting deepfakes by detecting GAN DCT anomalies (2021 Journal of Imaging) [Paper]

• Adversarially robust deepfake media detection using fused convolutional neural network predictions (202102 arXiv) [Paper]

• Deepfake Video Detection Using Convolutional Vision Transformer (202102 arXiv) [Paper] [Code]

• Facial Manipulation Detection Based on the Color Distribution Analysis in Edge Region (202102 arXiv) [Paper]

• Improving DeepFake Detection Using Dynamic Face Augmentation (202102 arXiv) [Paper]

• Am I a Real or Fake Celebrity? Measuring Commercial Face Recognition Web APIs under Deepfake Impersonation Attack (2022 WWW) [Paper]

• DefakeHop: A Light-Weight High-Performance Deepfake Detector (2021 ICME) [Paper] [Code]

• Multi-attentional Deepfake Detection (2021 CVPR) [Paper] [Code]

• Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain (2021 CVPR) [Paper]

• Frequency-aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection (2021 CVPR) [Paper]

• Finding Facial Forgery Artifacts with Parts-Based Detectors (2021 CVPRW) [Paper]

• Practical Face Swapping Detection Based on Identity Spatial Constraints (2021 IJCB) [Paper]

• Visual-Semantic Transformer for Face Forgery Detection (2021 IJCB) [Paper]

• PRRNet: Pixel-Region relation network for face forgery detection (2021 Pattern Recognition) [Paper]

• Fighting Fake News: Two Stream Network for Deepfake Detection via Learnable SRM (2021 IEEE TBIOM) [Paper]

• Inconsistency-Aware Wavelet Dual-Branch Network for Face Forgery Detection (2021 IEEE TBIOM) [Paper]

• Detection of Fake and Fraudulent Faces via Neural Memory Networks (2021 IEEE TIFS) [Paper]

• Deepfake Detection Scheme Based on Vision Transformer and Distillation (202104 arXiv) [Paper]

• M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection (202104 arXiv) [Paper] [Code]

• Robust Face-Swap Detection Based on 3D Facial Shape Information (202104 arXiv) [Paper]

• Local Relation Learning for Face Forgery Detection (2021 AAAI) [Paper]

• Interpretable Face Manipulation Detection via Feature Whitening (202106 arXiv) [Paper]

• Learning to Disentangle GAN Fingerprint for Fake Image Attribution (202106 arXiv) [Paper]

• Wavelet-Packets for Deepfake Image Analysis and Detection (202106 arXiv) [Paper] [Code] [Code]

• Eyes Tell All: Irregular Pupil Shapes Reveal GAN-generated Faces (2022 ICASSP) [Paper]

• MD-CSDNetwork: Multi-Domain Cross Stitched Network for Deepfake Detection (2021 FG) [Paper]

• A universal detector of CNN-generated images using properties of checkerboard artifacts in the frequency domain (2021 GCCE) [Paper]

• Deepfake Representation with Multilinear Regression (2021 KDDW) [Paper]

• Exploring the Asynchronous of the Frequency Spectra of GAN-generated Facial Images (2021 IJCAIW) [Paper] [Code]

• Discriminative Feature Mining Based on Frequency Information and Metric Learning for Face Forgery Detection (2021 TKDE) [Paper]

• Exploiting Fine-grained Face Forgery Clues via Progressive Enhancement Learning (2022 AAAI) [Paper]

• FrePGAN: Robust Deepfake Detection Using Frequency-level Perturbations (2022 AAAI) [Paper]

• BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detection (2022 WACV) [Paper]

• Detection and Localization of Facial Expression Manipulations (2022 WACV) [Paper]

• Generalized Visual Quality Assessment of GAN-Generated Face Images (202201 arXiv) [Paper]

• Detecting Deepfakes with Self-Blended Images (2022 CVPR) [Paper] [Code]

• Protecting Celebrities from DeepFake with Identity Consistency Transformer (2022 CVPR) [Paper] [Code]

• Think Twice Before Detecting GAN-Generated Fake Images From Their Spectral Domain Imprints (2022 CVPR) [Paper]

• CORE: COnsistent REpresentation Learning for Face Forgery Detection (2022 CVPR) [Paper] [Code]

• Fusing Global and Local Features for Generalized AI-Synthesized Image Detection (2022 ICIP) [Paper]

• Adaptive Frequency Learning in Two-branch Face Forgery Detection (202203 arXiv) [Paper]

• Exposing Deepfake Face Forgeries with Guided Residuals (202205 arXiv) [Paper]

• Real-centric Consistency Learning for Deepfake Detection (202205 arXiv) [Paper]

Temporal Clue for Detection

• Mesonet: a compact facial video forgery detection network (2018 WIFS) [Paper] [Code]
• In Ictu Oculi: Exposing AI created fake videos by detecting eye blinking (2018 WIFS) [Paper] [Code]
• Deepfake Video Detection Using Recurrent Neural Networks (2018 AVSS) [Paper]
• Exposing deep fakes using inconsistent head poses (2019 ICASSP) [Paper]
• Protecting world leaders against deep fakes (2019 CVPRW) [Paper]
• FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals (2020 TPAMI) [Paper]
• Recurrent Convolutional Strategies for Face Manipulation Detection in Videos (2019 CVPRW) [Paper]
• Predicting Heart Rate Variations of Deepfake Videos using Neural ODE (2019 ICCVW) [Paper]
• Deepfake Video Detection through Optical Flow based CNN (2019 ICCVW) [Paper]
• Deep Face Forgery Detection (202004 arXiv) [Paper]
• Deepfakes Detection with Automatic Face Weighting (2020 CVPRW) [Paper]
• Detecting Deep-Fake Videos from Appearance and Behavior (2020 WIFS) [Paper]
• Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches (2020 CVPRW) [Paper]
• Towards Untrusted Social Video Verification to Combat Deepfakes via Face Geometry Consistency (2020 CVPRW) [Paper] [Code]
• DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms (2020 ACMMM) [Paper]
• Deepfake Detection using Spatiotemporal Convolutional Networks (202006 arXiv) [Paper] [Code]
• Dynamic texture analysis for detecting fake faces in video sequences (2021 JVCIR) [Paper]
• Detecting Deepfake Videos: An Analysis of Three Techniques (202007 arXiv) [Paper]
• Sharp Multiple Instance Learning for DeepFake Video Detection (2020 ACMMM) [Paper] [Code]
• How Do the Hearts of Deep Fakes Beat? Deep Fake Source Detection via Interpreting Residuals with Biological Signals (2020 ICB) [Paper]
• A Convolutional LSTM based Residual Network for Deepfake Video Detection (202009 arXiv) [Paper]
• DeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimation (202010 arXiv) [Paper] [Code]
• ID-Reveal: Identity-aware DeepFake Video Detection (2021 ICCV) [Paper] [Code]
• Detecting Deepfake Videos Using Euler Video Magnification (2021 Electronic Imaging) [Paper]
• FakeBuster: A DeepFakes Detection Tool for Video Conferencing Scenarios (2021 ICIUIC) [Paper]
• Where Do Deep Fakes Look? Synthetic Face Detection via Gaze Tracking (2021 ETRA) [Paper]
• Do Deepfakes Feel Emotions? A Semantic Approach to Detecting Deepfakes Via Emotional Inconsistencies (2021 CVPRW) [Paper]
• Bita-Net: Bi-temporal Attention Network for Facial Video Forgery Detection (2021 IJCB) [Paper]
• Identifying Rhythmic Patterns for Face Forgery Detection and Categorization (2021 IJCB) [Paper]
• Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes (2021 WACV) [Paper]
• Detection of Deepfake Videos Using Long Distance Attention (202106 arXiv) [Paper]
• Combining EfficientNet and Vision Transformers for Video Deepfake Detection (202107 arXiv) [Paper] [Code]
• DeepFake Detection with Inconsistent Head Poses: Reproducibility and Analysis (202108 arXiv) [Paper]
• Spatiotemporal Inconsistency Learning for DeepFake Video Detection (2021 ACMMM) [Paper]
• Video Transformer for Deepfake Detection with Incremental Learning (2021 ACMMM) [Paper]
• Detecting Deepfake Videos with Temporal Dropout 3DCNN (2021 IJCAI) [Paper]
• Dynamic Inconsistency-aware DeepFake Video Detection (2021 IJCAI) [Paper]
• Lip Forgery Video Detection via Multi-phoneme Selection (2021 IJCAIW) [Paper]
• Preventing DeepFake Attacks on Speaker Authentication by Dynamic Lip Movement Analysis (2021 TIFS) [Paper] [Code]
• Exposing Deepfake with Pixel-wise AR and PPG Correlation from Faint Signals (202110 arXiv) [Paper]
• FakeTransformer: Exposing Face Forgery From Spatial-Temporal Representation Modeled By Facial Pixel Variations (2022 ICSP) [Paper]
• Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection (2022 CVPR) [Paper]
• Detecting Real-Time Deep-Fake Videos Using Active Illumination (2022 CVPRW) [Paper]
• Delving into the Local: Dynamic Inconsistency Learning for DeepFake Video Detection (2022 AAAI) [Paper]
• FInfer: Frame Inference-Based Deepfake Detection for High-Visual-Quality Videos (2022 AAAI) [Paper]
• Detecting deepfake videos based on spatiotemporal attention and convolutional LSTM (2022 INS) [Paper] [Code]
• Learning a deep dual-level network for robust DeepFake detection (2022 PR) [Paper] [Code]
• The Effectiveness of Temporal Dependency in Deepfake Video Detection (202205 arXiv) [Paper]

Audio+ Clue for Detection

• Emotions Don't Lie: A Deepfake Detection Method using Audio-Visual Affective Cues (2020 ACMMM) [Paper]
• Not made for each other– Audio-Visual Dissonance-based Deepfake Detection and Localization (2020 ACMMM) [Paper] [Code]
• Evaluation of an Audio-Video Multimodal Deepfake Dataset using Unimodal and Multimodal Detectors (2021 ACMMM-W) [Paper]
• FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset (2021 NeurIPS) [Paper] [Download]
• Joint Audio-Visual Deepfake Detection (2021 ICCV) [Paper]
• An Audio-Visual Attention Based Multimodal Network for Fake Talking Face Videos Detection (202203 arXiv) [Paper]
• Self-supervised Transformer for Deepfake Detection (202203 arXiv) [Paper]
• Audio-Visual Person-of-Interest DeepFake Detection (202204 arXiv) [Paper] [Code]
• Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery Localization (202204 arXiv) [Paper]

Generalizable Clue for Detection

• ForensicTransfer: Weakly-supervised domain adaptation for forgery detection (2018 arXiv) [Paper]
• Towards generalizable forgery detection with locality-aware autoencoder (2019 arXiv) [Paper]
• Incremental learning for the detection and classification of GAN-generated images (2019 WIFS) [Paper]
• CNN-generated images are surprisingly easy to spot... for now (2020 CVPR) [Paper] [Code]
• Face X-ray for More General Face Forgery Detection (2020 CVPR) [Paper]
• Detecting CNN-Generated Facial Images in Real-World Scenarios (2020 CVPRW) [Paper]
• OC-FakeDect: Classifying Deepfakes Using One-class Variational Autoencoder (2020 CVPRW) [Paper]
• T-GD: Transferable GAN-generated Images Detection Framework (2020 ICML) [Paper] [Code]
• Exposing Deep-faked Videos by Anomalous Co-motion Pattern Detection (202008 arXiv) [Paper]
• Spatio-temporal Features for Generalized Detection of Deepfake Videos (202010 arXiv) [Paper]
• Mining Generalized Features for Detecting AI-Manipulated Fake Faces (202010 arXiv) [Paper]
• Domain General Face Forgery Detection by Learning to Weight (2021 AAAI) [Paper] [Code]
• Fake face detection via adaptive manipulation traces extraction network (2021 CVIU) [Paper] [Code]
• Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection (2020 WIFS) [Paper]
• Identity-Driven DeepFake Detection (202012 arXiv) [Paper]
• Fake-image detection with Robust Hashing (2021 LifeTech) [Paper]
• AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection (2020 NeurIPS) [Paper] [Code]
• Leveraging edges and optical flow on faces for deepfake detection (2020 ICB) [Paper]
• Deepfake Forensics via An Adversarial Game (2022 TIP) [Paper]
• Generalizing Face Forgery Detection with High-frequency Features (2021 CVPR) [Paper]
• Metric Learning for Anti-Compression Facial Forgery Detection (2021 ACMMM) [Paper]
• Towards Generalizable and Robust Face Manipulation Detection via Bag-of-local-feature (2021 VCIP) [Paper]
• Improving the Efficiency and Robustness for Deepfakes Detection through Precise Geometric Features (2021 CVPR) [Paper] [Code]
• Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection (2021 CVPR) [Paper] [Code]
• Representative Forgery Mining for Fake Face Detection (2021 CVPR) [Paper] [Code]
• FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning (2021 CVPRW) [Paper] [Code]
• On the Robustness and Generalizability of Face Synthesis Detection Methods (2021 CVPRW) [Paper]
• Are GAN generated images easy to detect? A critical analysis of the state-of-the-art (2021 ICME) [Paper]
• DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning (2021 IJCNN) [Paper]
• Unified Detection of Digital and Physical Face Attacks (202104 arXiv) [Paper]
• Beyond the Spectrum: Detecting Deepfakes via Re-synthesis (2021 IJCAI) [Paper] [Code]
• One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework (2021 WWW) [Paper] [Code]
• TAR: Generalized Forensic Framework to Detect Deepfakes using Weakly Supervised Learning (2021 IFIP) [Paper] [Code]
• Towards Discovery and Attribution of Open-world GAN Generated Images (2021 ICCV) [Paper]
• Automated Deepfake Detection (202106 arXiv) [Paper]
• FakeTagger: Robust Safeguards against DeepFake Dissemination via Provenance Tracking (2021 ACMMM) [Paper]
• Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data (2021 ICCV) [Paper] [Code]
• Exploring Temporal Coherence for More General Video Face Forgery Detection (2021 ICCV) [Paper] [Code]
• Detecting Compressed Deepfake Videos in Social Networks Using Frame-Temporality Two-Stream Convolutional Network (2021 TCSVT) [Paper]
• Towards Universal GAN Image Detection (2021 VCIP) [Paper]
• FaceGuard: Proactive Deepfake Detection (202109 arXiv) [Paper]
• Improved Xception with Dual Attention Mechanism and Feature Fusion for Face Forgery Detection (202109 arXiv) [Paper]
• MC-LCR: Multi-modal contrastive classification by locally correlated representations for effective face forgery detection (2022 K-BS) [Paper]
• Impact of Benign Modifications on Discriminative Performance of Deepfake Detectors (202111 arXiv) [Paper]
• DA-FDFtNet: Dual Attention Fake Detection Fine-tuning Network to Detect Various AI-Generated Fake Images (202112 arXiv) [Paper]
• Deepfake Network Architecture Attribution (2022 AAAI) [Paper]
• Dual Contrastive Learning for General Face Forgery Detection (2022 AAAI) [Paper]
• ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images (2022 AAAI) [Paper] [Code]
• Responsible Disclosure of Generative Models Using Scalable Fingerprinting (2022 ICLR) [Paper] [Code]
• Learning Forgery Region-Aware and ID-Independent Features for Face Manipulation Detection (2022 TBIOM) [Paper]
• Improving Generalization by Commonality Learning in Face Forgery Detection (2022 TIFS) [Paper]
• Robust Attentive Deep Neural Network for Exposing GAN-generated Faces (2022 IEEE Access) [Paper]
• Block shuffling learning for Deepfake Detection (202202 arXiv) [Paper]
• End-to-End Reconstruction-Classification Learning for Face Forgery Detection (2022 CVPR) [Paper] [Code]
• Learning Second Order Local Anomaly for General Face Forgery Detection (2022 CVPR) [Paper]
• Robust Image Forgery Detection over Online Social Network Shared Images (2022 CVPR) [Paper] [Code]
• Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection (2022 CVPR) [Paper] [Code]
• On Improving Cross-dataset Generalization of Deepfake Detectors (2022 CVPRW) [Paper]
• ADT: Anti-Deepfake Transformer (2022 ICASSP) [Paper]
• Improving Generalization of Deepfake Detection With Data Farming and Few-Shot Learning (2022 IEEE TBIOM) [Paper]
• Generalized Facial Manipulation Detection with Edge Region Feature Extraction (2022 WACV) [Paper]
• Supervised Contrastive Learning for Generalizable and Explainable DeepFakes Detection (2022 WACVW) [Paper] [Code]
• A New Approach to Improve Learning-based Deepfake Detection in Realistic Conditions (202203 arXiv) [Paper]
• MRI-GAN: A Generalized Approach to Detect DeepFakes using Perceptual Image Assessment (202203 arXiv) [Paper] [Code]
• Few-shot Forgery Detection via Guided Adversarial Interpolation (202204 arXiv) [Paper]

Spoofing Forgery Detection

• Security of Facial Forensics Models Against Adversarial Attacks (2020 ICIP) [Paper]

• Real or Fake? Spoofing State-Of-The-Art Face Synthesis Detection Systems (2019 arXiv) [Paper]

• Adversarial Perturbations Fool Deepfake Detectors (2020 IJCNN) [Paper] [Code]

• Disrupting DeepFakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems (2020 ECCV) [Paper] [Code]

• Evading Deepfake-Image Detectors with White- and Black-Box Attacks (2020 CVPRW) [Paper]

• Defending against GAN-based Deepfake Attacks via Transformation-aware Adversarial Faces (2021 IJCNN) [Paper]

• Disrupting Deepfakes with an Adversarial Attack that Survives Training (202006 arXiv) [Paper]

• FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction (2020 ACMMM) [Paper]

• Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks (202006 arXiv) [Paper]

• Not My Deepfake: Towards Plausible Deniability for Machine-Generated Media (202008 arXiv) [Paper]

• FakeRetouch: Evading DeepFakes Detection via the Guidance of Deliberate Noise (202009 arXiv) [Paper]

• Perception Matters: Exploring Imperceptible and Transferable Anti-forensics for GAN-generated Fake Face Imagery Detection (2021 PRL) [Paper] [Code]

• Adversarial Threats to DeepFake Detection: A Practical Perspective (2021 CVPR) [Paper]

• Exploring Adversarial Fake Images on Face Manifold (2021 CVPR) [Paper]

• Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction (2020 WIFS) [Paper], (2021 Deep Learning-Based Face Analytics) [Paper]

• GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection (2020 TVCG) [Paper] [Code]

• A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection (2021 CVPR) [Paper] [Code]

• MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes (2021 CVPR) [Paper]

• A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection (2021 CVPR) [Paper] [Code]

• Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples (2021 WACV) [Paper] [Project]

• Making GAN-Generated Images Difficult To Spot: A New Attack Against Synthetic Image Detectors (202104 arXiv) [Paper]

• Imperceptible Adversarial Examples for Fake Image Detection (2021 ICIP) [Paper]

• Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images (202106 arXiv) [Paper] [Code]

• Understanding the Security of Deepfake Detection (202107 arXiv) [Paper]

• TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations (202112 arXiv) [Paper] [Code]

• Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era (2022 USENIX) [Paper]

• CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes (2022 AAAI) [Paper] [Code]

• DeepFake Disrupter: The Detector of DeepFake Is My Friend (2022 CVPR) [Paper]

• Exploring Frequency Adversarial Attacks for Face Forgery Detection (2022 CVPR) [Paper]

• Proactive Image Manipulation Detection (2022 CVPR) [Paper] [Code]

• On the Exploitation of Deepfake Model Recognition (2022 CVPRW) [Paper]

• Towards Adversarially Robust Deepfake Detection: An Ensemble Approach (202202 arXiv) [Paper]

• Making DeepFakes more spurious: evading deep face forgery detection via trace removal attack (202203 arXiv) [Paper]

• Transferable Class-Modelling for Decentralized Source Attribution of GAN-Generated Images (202203 arXiv) [Paper] [Code]

• FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes (202204 arXiv) [Paper]

• Metamorphic Testing-based Adversarial Attack to Fool Deepfake Detectors (2022 ICPR) [Paper]

• Restricted Black-box Adversarial Attack Against DeepFake Face Swapping (202204 arXiv) [Paper]

Challenges

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• DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results (2020 ECCV) [Paper] [Website]
• DFGC 2021: A DeepFake Game Competition (2021 IJCB) [Paper] [Website]
• ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis(2021 CVPR) [Paper1] [Paper2] [Website]

Others

• Detecting Video Speed Manipulation (2020 CVPRW) [Paper]
• The eyes know it: FakeET- An Eye-tracking Database to Understand Deepfake Perception (2020 ICMI) [Paper]
• Deepfake detection humans vs machines (202009 arXiv) [Paper]
• DeepFake-o-meter: An Open Platform for DeepFake Detection (2021 SPW) [Paper] [Code] [Website]
• An Examination of Fairness of AI Models for Deepfake Detection (2021 IJCAI) [Paper]
• What's wrong with this video? Comparing Explainers for Deepfake Detection (202105 arXiv) [Paper]
• Automated Side Channel Analysis of Media Software with Manifold Learning (2022 USENIX) [Paper] [Code]
• Fairness Evaluation in Deepfake Detection Models using Metamorphic Testing (2022 MET) [Paper]
• The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild (202204 arXiv) [Paper]

Databases

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• [FFW] Fake Face Detection Methods: Can They Be Generalized? (2018 BIOSIG) [Paper] [Download]
• [UADFV] In Ictu Oculi: Exposing AI created fake videos by detecting eye blinking (2018 WIFS) [Paper] [Download]
• [DeepfakeTIMIT] Deepfakes: a new threat to face recognition? assessment and detection (2018 arXiv) [Paper] [Download]
• [FaceForensics++ & DFD] FaceForensics++: Learning to Detect Manipulated Facial Images (2019 ICCV) [Paper] [Download]
• [Celeb-DF] Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics (2020 CVPR) [Paper] [Download]
• [DFFD (Diverse Fake Face Dataset)] On the detection of digital face manipulation (2020 CVPR) [Paper]
• [DFDC (Deepfake Detection Challenge)] The Deepfake Detection Challenge (DFDC) Preview Dataset (2019 arXiv) [Paper] [Download]
• [DeeperForensics-1.0] DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection (2020 CVPR) [Paper] [Download]
• [WildDeepfake] WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection (2020 ACMMM) [Paper] [Download]
• [DF-W] Deepfakes in the Wild: Detection and Analysis (2021 ACM WWW) [Paper] [Download]
• [FFIW] Face Forensics in the Wild (2021 CVPR) [Paper] [Download]
• [ForgeryNet] ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis (2021 CVPR) [Paper] [Download]
• [KoDF] KoDF: A Large-scale Korean DeepFake Detection Dataset (2021 ICCV) [Paper] [Download]
• DeepFake MNIST+: A DeepFake Facial Animation Dataset (2021 ICCVW) [Paper] [Download]
• FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset (2021 NeurIPS) [Paper] [Download]
• Vision Transformer Based Video Hashing Retrieval for Tracing the Source of Fake Videos (202112 arXiv) [Paper] [Download]
• Model Attribution of Face-swap Deepfake Videos (202202 arXiv) [Paper]
• ForgeryNIR: Deep Face Forgery and Detection in Near-Infrared Scenario (2022 TIFS) [Paper] [Download]
• FMFCC-V: An Asian Large-Scale Challenging Dataset for DeepFake Detection (2022 IH&MMSec) [Paper] [Download]

Survey & Benchmark

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• Deep Learning for Deepfakes Creation and Detection (2019 arXiv) [Paper]
• DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection (2020 Information Fusion) [Paper]
• Media Forensics and DeepFakes: an Overview (2020 IEEE JSTSP) [Paper]
• DeepFake Detection: Current Challenges and Next Steps (2020 ICMEW) [Paper]
• The Creation and Detection of Deepfakes: A Survey (2021 CSUR) [Paper]
• Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward (202103 arXiv) [Paper]
• Unified Detection of Digital and Physical Face Attacks (202104 arXiv) [Paper]
• Deep Fake Detection: Survey of Facial Manipulation Detection Solutions (202106 arXiv) [Paper]
• DeepFakes: Detecting Forged and Synthetic Media Content Using Machine Learning (2021 AICS) [Paper]
• A dual benchmarking study of facial forgery and facial forensics (202111 arXiv) [Paper] [Code]
• A Review of Deep Learning-based Approaches for Deepfake Content Detection (202202 arXiv) [Paper]
• GAN-generated Faces Detection: A Survey and New Perspectives (202202 arXiv) [Paper]
• Robust Deepfake On Unrestricted Media: Generation And Detection (2022 Frontiers in Fake Media Generation and Detection) [Paper]
• Countering Malicious DeepFakes: Survey, Battleground, and Horizon (2022 IJCV) [Paper]
• Deepfake Detection: A Systematic Literature Review (2022 IEEE Access) [Paper]
• DeepFake Detection for Human Face Images and Videos: A Survey (2022 IEEE Access) [Paper]
• Towards Benchmarking and Evaluating Deepfake Detection (202203 arXiv) [Paper]
• An Overview of Recent Work in Media Forensics: Methods and Threats (202204 arXiv) [Paper]
• A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials (202205 arXiv) [Paper]

Related Links

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• Daisy-Zhang/Awesome-Deepfakes-Detection
• datamllab/awesome-deepfakes-materials
• Qingcsai/awesome-Deepfakes
• drimpossible/awesome-deepfake-detection
• subinium/awesome-deepfake-porn-detection
• aerophile/awesome-deepfakes
• 592McAvoy/fake-face-detection

License

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