A curated list of articles and codes related to face forgery generation and detection.
Please feel free to send me pull requests or email (clp.xidian@gmail.com) to update this list together!
- 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]
- Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation (202003 arXiv) [Paper]
- Advancing High Fidelity Identity Swapping for Forgery Detection (2020 CVPR) [Paper] [arXiv version]
- Learning residual images for face attribute manipulation (2017 CVPR) [Paper] [Code]
- Fader networks: Manipulating images by sliding attributes (2017 NIPS) [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 NIPS) [Paper] [Code]
- Mask-aware Photorealistic Face Attribute Manipulation (2018 arXiv) [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]
- MulGAN: Facial Attribute Editing by Exemplar (2019 arXiv) [Paper]
- MaskGAN: Towards Diverse and Interactive Facial Image Manipulation (2019 arXiv) [Paper] [Code]
- PuppetGAN: Cross-Domain Image Manipulation by Demonstration (2019 ICCV) [Paper]
- StarGAN v2: Diverse Image Synthesis for Multiple Domains (2020 CVPR) [Paper] [Code]
- Fine-Grained Expression Manipulation via Structured Latent Space (202004 arXiv) [Paper]
- 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 (2019 arXiv) [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 (2019 arXiv) [Paper]
- Unconstrained Facial Expression Transfer using Style-based Generator (2019 arXiv) [Paper]
- ICface: Interpretable and Controllable Face Reenactment Using GANs (2020 WACV) [Paper] [Code]
- Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose (202003 arXiv) [Paper]
- APB2Face: Audio-guided face reenactment with auxiliary pose and blink signals (202004 arXiv) [Paper]
- 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 (202006 arXiv) [Paper]
- Synthesizing Obama: learning lip sync from audio (2017 TOG) [Paper] [Code]
- 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]
- Speech2Face: Learning the Face Behind a Voice (2019 CVPR) [Paper]
- Face Reconstruction from Voice using Generative Adversarial Networks (2019 NIPS) [Paper]
- Neural Voice Puppetry: Audio-driven Facial Reenactment (2019 arXiv) [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]
- Everybody’s Talkin’: Let Me Talk as You Want (202001 arXiv) [Paper]
- Identity-Preserving Realistic Talking Face Generation (202005 arXiv) [Paper]
- Talking-head Generation with Rhythmic Head Motion (2020 ECCV) [Paper] [Code]
- Generative Adversarial Nets (2014 NIPS) [Paper] [Code]
- Unsupervised representation learning with deep convolutional generative adversarial networks (2016 ICLR) [Paper] [Code]
- 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 (2018 arXiv) [Paper] [Code]
- A Style-Based Generator Architecture for Generative Adversarial Networks (2019 CVPR) [Paper] [Code]
- Large Scale GAN Training for High Fidelity Natural Image Synthesis (2019 ICLR) [Paper] [Code1] [Code2]
- Analyzing and improving the image quality of StyleGAN (2019 arXiv) [Paper] [Code1] [Code2]
- One-Shot Domain Adaptation For Face Generation (202003 arXiv) [Paper]
- 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]
- Detection of Deep Network Generated Images Using Disparities in Color Components (2018 arXiv) [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 (2019 arXiv) [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 arXiv) [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 (2019 arXiv) [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 (2019 arXiv) [Paper]
- Zooming into Face Forensics: A Pixel-level Analysis (2019 arXiv) [Paper]
- Fakespotter: A simple baseline for spotting ai-synthesized fake faces (2019 arXiv) [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 via Semantic Segmentation Networks with Bells and Whistles (2020 arXiv) [Paper]
- FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network (2020 arXiv) [Paper] [Code]
- Global Texture Enhancement for Fake Face Detection in the Wild (2020 arXiv) [Paper]
- Detecting Deepfakes with Metric Learning (202003 arXiv) [Paper]
- Fake Generated Painting Detection via Frequency Analysis (202003 arXiv) [Paper]
- Leveraging Frequency Analysis for Deep Fake Image Recognition (202003 arXiv) [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 (202004 arXiv) [Paper]
- On the use of Benford's law to detect GAN-generated images (202004 arXiv) [Paper]
- Video Face Manipulation Detection Through Ensemble of CNNs (202004 arXiv) [Paper] [Code]
- Detecting Forged Facial Videos using convolutional neural network (202005 arXiv) [Paper]
- Fake Face Detection via Adaptive Residuals Extraction Network (202005 arXiv) [Paper]
- 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]
- Detection, Attribution and Localization of GAN Generated Images (202007 arXiv) [Paper]
- Two-branch Recurrent Network for Isolating Deepfakes in Videos (202008 arXiv) [Paper]
- What makes fake images detectable? Understanding properties that generalize (2020 ECCV) [Paper] [Code]
- DeepFake Detection Based on Discrepancies Between Faces and their Context (202008 arXiv) [Paper]
- 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 (2019 arXiv) [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]
- Emotions Don't Lie: A Deepfake Detection Method using Audio-Visual Affective Cues (202003 arXiv) [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 (202004 arXiv) [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]
- Not made for each other– Audio-Visual Dissonance-based Deepfake Detection and Localization (202005 arXiv) [Paper]
- DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms (202006 arXiv) [Paper]
- Deepfake Detection using Spatiotemporal Convolutional Networks (202006 arXiv) [Paper]
- Interpretable Deepfake Detection via Dynamic Prototypes (202006 arXiv) [Paper]
- Dynamic texture analysis for detecting fake faces in video sequences (202007 arXiv) [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 (202008 arXiv) [Paper]
- 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 arXiv) [Paper]
- CNN-generated images are surprisingly easy to spot... for now (2019 arXiv) [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]
- Security of Facial Forensics Models Against Adversarial Attacks (2019 arXiv) [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 (202003 arXiv) [Paper] [Code]
- Evading Deepfake-Image Detectors with White- and Black-Box Attacks (202004 arXiv) [Paper]
- Defending against GAN-based Deepfake Attacks via Transformation-aware Adversarial Faces (202006 arXiv) [Paper]
- Disrupting Deepfakes with an Adversarial Attack that Survives Training (202006 arXiv) [Paper]
- FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction (202006 arXiv) [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]
- Detecting Video Speed Manipulation (2020 CVPRW) [Paper]
- The eyes know it: FakeET- An Eye-tracking Database to Understand Deepfake Perception (202006 arXiv) [Paper]
- [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 (2019 arXiv) [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 arXiv) [Paper] [Download]
- Deep Learning for Deepfakes Creation and Detection (2019 arXiv) [Paper]
- DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection (2020 arXiv) [Paper]
- Media Forensics and DeepFakes: an Overview (2020 arXiv) [Paper]
- DeepFake Detection: Current Challenges and Next Steps (202003 arXiv) [Paper]
- The Creation and Detection of Deepfakes: A Survey (202004 arXiv) [Paper]
- datamllab/awesome-deepfakes-materials
- Qingcsai/awesome-Deepfakes
- drimpossible/awesome-deepfake-detection
- subinium/awesome-deepfake-porn-detection
- aerophile/awesome-deepfakes
- 592McAvoy/fake-face-detection
