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README.md

💥Big Bang💥

Receptive Field Is Natural Anchor

Receptive Field Is All You Need

2K real-time detection is so easy!

[Paper] [MXNet] [PyTorch] GitHub stars


HelloFace Mentioned in Awesome HelloFace

Face Technology Repository(Updating)
🔥🔥🔥Website: https://becauseofAI.github.io/HelloFace 👍👍👍

👋Recent Update

2020-10-02

ICIP2020

  • 3D SPARSE DEFORMATION SIGNATURE FOR DYNAMIC FACE RECOGNITION
  • A Stacking Ensemble for Anomaly Based Client-Specific Face Spoofing Detection
  • ADAPTIVE AGGREGATED TRACKLET LINKING FOR MULTI-FACE TRACKING
  • ATTENTION SELECTIVE NETWORK FOR FACE SYNTHESIS AND POSE-INVARIANT FACE RECOGNITION
  • EDGE-GAN: EDGE CONDITIONED MULTI-VIEW FACE IMAGE GENERATION
  • EXTRACTING DEEP LOCAL FEATURES TO DETECT MANIPULATED IMAGES OF HUMAN FACES
  • FACE AUTHENTICATION FROM GRAYSCALE CODED LIGHT FIELD
  • FACE RECOGNITION UNDER LOW ILLUMINATION VIA DEEP FEATURE RECONSTRUCTION NETWORK
  • IMPROVING DETECTION AND RECOGNITION OF DEGRADED FACES BY DISCRIMINATIVE FEATURE RESTORATION USING GAN
  • QAMFACE: QUADRATIC ADDITIVE ANGULAR MARGIN LOSS FOR FACE RECOGNITION
  • REALISTIC TALKING FACE SYNTHESIS WITH GEOMETRY-AWARE FEATURE TRANSFORMATION
  • TRIPLET DISTILLATION FOR DEEP FACE RECOGNITION

ECCV2020

  • “Look Ma, no landmarks!” – Unsupervised, Model-based Dense Face Alignment
  • Hierarchical Face Aging through Disentangled Latent Characteristics
  • Semi-Siamese Training for Shallow Face Learning
  • Face Super-Resolution Guided by 3D Facial Priors
  • Personalized Face Modeling for Improved Face Reconstruction and Motion Retargeting
  • ProgressFace: Scale-Aware Progressive Learning for Face Detection
  • Face Anti-Spoofing with Human Material Perception
  • Beyond 3DMM Space: Towards Fine-grained 3D Face Reconstruction
  • Blind Face Restoration via Deep Multi-scale Component Dictionaries
  • Inequality-Constrained and Robust 3D Face Model Fitting
  • BroadFace: Looking at Tens of Thousands of People at Once for Face Recognition
  • Explainable Face Recognition
  • CONFIG: Controllable Neural Face Image Generation
  • Sub-center ArcFace: Boosting Face Recognition by Large-scale Noisy Web Faces
  • CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations
  • Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues
  • Edge-aware Graph Representation Learning and Reasoning for Face Parsing
  • Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision
  • CAFE-GAN: Arbitrary Face Attribute Editing with Complementary Attention Feature
  • Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency
  • Generate to Adapt: Resolution Adaption Network for Surveillance Face Recognition
  • Caption-Supervised Face Recognition: Training a State-of-the-Art Face Model without Manual Annotation
  • Design and Interpretation of Universal Adversarial Patches in Face Detection
  • JNR: Joint-based Neural Rig Representation for Compact 3D Face Modeling
  • On Disentangling Spoof Trace for Generic Face Anti-Spoofing
  • Towards causal benchmarking of bias in face analysis algorithms
  • Towards Fast, Accurate and Stable 3D Dense Face Alignment
  • Face Anti-Spoofing via Disentangled Representation Learning
  • Learning to Predict Salient Faces: A Novel Visual-Audio Saliency Model
  • MEAD: A Large-scale Audio-visual Dataset for Emotional Talking-face Generation
  • Margin-Mix: Semi–Supervised Learning for Face Expression Recognition
  • Password-conditioned Anonymization and Deanonymization with Face Identity Transformers
  • Improving Face Recognition by Clustering Unlabeled Faces in the Wild
  • Exclusivity-Consistency Regularized Knowledge Distillation for Face Recognition
  • BioMetricNet: deep unconstrained face verification through learning of metrics regularized onto Gaussian distributions
  • Eyeglasses 3D shape reconstruction from a single face image
  • Deep Cross-species Feature Learning for Animal Face Recognition via Residual Interspecies Equivariant Network
  • High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images
  • ByeGlassesGAN: Identity Preserving Eyeglasses Removal for Face Images
  • Jointly De-biasing Face Recognition and Demographic Attribute Estimation
  • Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks
  • Improving Face Recognition from Hard Samples via Distribution Distillation Loss
  • Manifold Projection for Adversarial Defense on Face Recognition

SIGGRAPH2020

  • A System for Efficient 3D Printed Stop-Motion Face Animation
  • Accurate Face Rig Approximation With Deep Differential Subspace Reconstruction
  • DeepFaceDrawing: Deep Generation of Face Images from Sketches
  • The Eyes Have It: An Integrated Eye and Face Model for Photorealistic Facial Animation

IJCAI2020

  • Biased Feature Learning for Occlusion Invariant Face Recognition
  • Reference Guided Face Component Editing
  • Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning
  • FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces

CVPR2020

  • Cross-Modal Deep Face Normals With Deactivable Skip Connections
  • One-Shot Domain Adaptation for Face Generation
  • Towards Learning Structure via Consensus for Face Segmentation and Parsing
  • BFBox: Searching Face-Appropriate Backbone and Feature Pyramid Network for Face Detector
  • Domain Balancing: Face Recognition on Long-Tailed Domains
  • FReeNet: Multi-Identity Face Reenactment
  • Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment
  • Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition
  • 3FabRec: Fast Few-Shot Face Alignment by Reconstruction
  • Global Texture Enhancement for Fake Face Detection in the Wild
  • CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
  • On the Detection of Digital Face Manipulation
  • Deep Spatial Gradient and Temporal Depth Learning for Face Anti-Spoofing
  • ReDA:Reinforced Differentiable Attribute for 3D Face Reconstruction
  • Cross-Domain Face Presentation Attack Detection via Multi-Domain Disentangled Representation Learning
  • FaceScape: A Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction
  • Interpreting the Latent Space of GANs for Semantic Face Editing
  • Rotate-and-Render: Unsupervised Photorealistic Face Rotation From Single-View Images
  • Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning
  • Density-Aware Feature Embedding for Face Clustering
  • Learning to Have an Ear for Face Super-Resolution
  • Learning Formation of Physically-Based Face Attributes
  • LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood
  • Learning Meta Face Recognition in Unseen Domains
  • Cross-Spectral Face Hallucination via Disentangling Independent Factors
  • Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation
  • Data Uncertainty Learning in Face Recognition
  • Face X-Ray for More General Face Forgery Detection
  • Vec2Face: Unveil Human Faces From Their Blackbox Features in Face Recognition
  • FM2u-Net: Face Morphological Multi-Branch Network for Makeup-Invariant Face Verification
  • Uncertainty-Aware Mesh Decoder for High Fidelity 3D Face Reconstruction
  • Enhanced Blind Face Restoration With Multi-Exemplar Images and Adaptive Spatial Feature Fusion
  • SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness
  • Towards High-Fidelity 3D Face Reconstruction From In-the-Wild Images Using Graph Convolutional Networks
  • RDCFace: Radial Distortion Correction for Face Recognition
  • Searching Central Difference Convolutional Networks for Face Anti-Spoofing
  • RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild
  • Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning
  • DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
  • GroupFace: Learning Latent Groups and Constructing Group-Based Representations for Face Recognition
  • A Morphable Face Albedo Model
  • Learning Oracle Attention for High-Fidelity Face Completion
  • Learning Physics-Guided Face Relighting Under Directional Light
  • Towards Universal Representation Learning for Deep Face Recognition
  • Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition
  • HAMBox: Delving Into Mining High-Quality Anchors on Face Detection
  • Hierarchical Pyramid Diverse Attention Networks for Face Recognition
  • Dynamic Face Video Segmentation via Reinforcement Learning
  • Copy and Paste GAN: Face Hallucination From Shaded Thumbnails
  • Single-Side Domain Generalization for Face Anti-Spoofing

AAAI2020

  • Fast and Robust Face-to-Parameter Translation for Game Character Auto-Creation
  • Mis-classified Vector Guided Softmax Loss for Face Recognition
  • Learning Meta Model for Zero- and Few-shot Face Anti-spoofing
  • Learning to Deblur Face Images via Sketch Synthesis
  • FAN-Face: a simple orthogonal improvement to deep face recognition
  • KPNet: Towards Minimal Face Detector
  • Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos
  • Regularized Fine-grained Meta Face Anti-spoofing
  • GDFace: Gated Deformation for Multi-view Face Image Synthesis
  • Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose
  • MarioNETte: Few-shot Face Reenactment Preserving Identity of Unseen Targets
  • A New Dataset and Boundary-Attention Semantic Segmentation for Face Parsing
  • Video Face Super-Resolution with Motion-Adaptive Feedback Cell
  • Facial Attribute Capsules for Noise Face Super Resolution
  • Joint Super-Resolution and Alignment of Tiny Faces
2020-01-26
  • UGG: Uncertainty Modeling of Contextual-Connections Between Tracklets for Unconstrained Video-Based Face Recognition

  • PDSN: Occlusion Robust Face Recognition Based on Mask Learning With Pairwise Differential Siamese Network

  • Attentional Feature-Pair Relation Networks for Accurate Face Recognition

  • PFE: Probabilistic Face Embeddings

  • Towards Interpretable Face Recognition

  • Co-Mining: Deep Face Recognition With Noisy Labels

  • Fair Loss: Margin-Aware Reinforcement Learning for Deep Face Recognition

  • Discriminatively Learned Convex Models for Set Based Face Recognition

  • DVG: Dual Variational Generation for Low Shot Heterogeneous Face Recognition

  • CDP: Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition

  • BCL: Video Face Clustering With Unknown Number of Clusters

  • DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild

  • AWing: Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression

  • KDN: Face Alignment With Kernel Density Deep Neural Network

  • DF2Net: A Dense-Fine-Finer Network for Detailed 3D Face Reconstruction

  • Face Video Deblurring Using 3D Facial Priors

  • Semi-Supervised Monocular 3D Face Reconstruction With End-to-End Shape-Preserved Domain Transfer

  • 3DFC: 3D Face Modeling From Diverse Raw Scan Data

  • Live Face De-Identification in Video

  • Face-to-Parameter Translation for Game Character Auto-Creation

  • SC-FEGAN: Face Editing Generative Adversarial Network With User's Sketch and Color

  • FSGAN: Subject Agnostic Face Swapping and Reenactment

  • Make a Face: Towards Arbitrary High Fidelity Face Manipulation

  • Face De-Occlusion Using 3D Morphable Model and Generative Adversarial Network

  • FRV: Face Reconstruction from Voice using Generative Adversarial Networks

  • From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech

  • PFSR: Progressive Face Super-Resolution via Attention to Facial Landmark

2019-07-11
  • Deep face recognition using imperfect facial data

  • Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data

  • RegularFace: Deep Face Recognition via Exclusive Regularization

  • UniformFace: Learning Deep Equidistributed Representation for Face Recognition

  • P2SGrad: Refined Gradients for Optimizing Deep Face Models

  • AdaptiveFace: Adaptive Margin and Sampling for Face Recognition

  • AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations

  • Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition

  • NoiseFace: Noise-Tolerant Paradigm for Training Face Recognition CNNs

  • Feature Transfer Learning for Face Recognition With Under-Represented Data

  • Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-Quality 3D Faces

  • R3 Adversarial Network for Cross Model Face Recognition

  • RetinaFace: Single-stage Dense Face Localisation in the Wild

  • Group Sampling for Scale Invariant Face Detection

  • FA-RPN: Floating Region Proposals for Face Detection

  • Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection

  • Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks

  • LTC: Learning to Cluster Faces on an Affinity Graph

  • FECNet: A Compact Embedding for Facial Expression Similarity

  • LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences

  • Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation

  • Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection

  • TCAE: Self-Supervised Representation Learning From Videos for Facial Action Unit Detection

  • JAANet: Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment

  • 2DASL: Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning

  • MVF-Net: Multi-View 3D Face Morphable Model Regression

  • Dense 3D Face Decoding Over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders

  • Towards High-Fidelity Nonlinear 3D Face Morphable Model

  • Combining 3D Morphable Models: A Large Scale Face-And-Head Model

  • Disentangled Representation Learning for 3D Face Shap

  • Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking

  • MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction

  • Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision

  • Boosting Local Shape Matching for Dense 3D Face Correspondence

  • FML: Face Model Learning From Videos

  • 2DASL: Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning

  • ATVGnet: Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss

  • Speech2Face: Learning the Face Behind a Voice

  • Unsupervised Face Normalization With Extreme Pose and Expression in the Wild

  • GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction

  • BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network

  • FUNIT: Few-Shot Unsupervised Image-to-Image Translation

  • Automatic Face Aging in Videos via Deep Reinforcement Learning

  • Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks

  • SAGAN:Generative Adversarial Network with Spatial Attention for Face Attribute Editing

  • APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs

  • StyleGAN: A Style-Based Generator Architecture for Generative Adversarial Networks

  • 3D Guided Fine-Grained Face Manipulation

  • SemanticComponent: Semantic Component Decomposition for Face Attribute Manipulation

  • Dataset and Benchmark: A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing

  • Deep Tree Learning for Zero-Shot Face Anti-Spoofing

  • Decorrelated Adversarial Learning for Age-Invariant Face Recognition

  • Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection

  • Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition

  • Speech2Face: Learning the Face Behind a Voice

  • JFDFMR: Joint Face Detection and Facial Motion Retargeting for Multiple Faces

  • ATVGnet: Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss

  • High-Quality Face Capture Using Anatomical Muscles

  • Monocular Total Capture: Posing Face, Body, and Hands in the Wild

  • Expressive Body Capture: 3D Hands, Face, and Body From a Single Image

2019-04-06
  • ISRN: Improved Selective Refinement Network for Face Detection
  • DSFD: Dual Shot Face Detector
  • PyramidBox++: High Performance Detector for Finding Tiny Face
  • VIM-FD: Robust and High Performance Face Detector
  • SHF: Robust Face Detection via Learning Small Faces on Hard Images
  • SRN: Selective Refinement Network for High Performance Face Detection
  • SFDet: Single-Shot Scale-Aware Network for Real-Time Face Detection
  • JFDFMR: Joint Face Detection and Facial Motion Retargeting for Multiple Faces
  • PFLD: A Practical Facial Landmark Detector
  • LinkageFace: Linkage Based Face Clustering via Graph Convolution Network
  • MLT: Face Recognition: A Novel Multi-Level Taxonomy based Survey
  • GhostVLAD: GhostVLAD for set-based face recognition
  • DocFace+: ID Document to Selfie Matching
  • DiF: Diversity in Faces
  • 2018Survey: Face Recognition: From Traditional to Deep Learning Methods
2019-01-12
  • 2018Survey: Deep Facial Expression Recognition: A Survey
  • 2018Survey: Deep Face Recognition: A Survey
  • SphereFace+(MHE): Learning towards Minimum Hyperspherical Energy
  • HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
2018-12-01
  • FRVT: Face Recognition Vendor Test
  • GANimation: Anatomically-aware Facial Animation from a Single Image
  • StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
  • Faceswap: A tool that utilizes deep learning to recognize and swap faces in pictures and videos
  • HF-PIM: Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization
  • PRNet: Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
  • LAB: Look at Boundary: A Boundary-Aware Face Alignment Algorithm
  • Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs
  • Face-Alignment: How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)
  • Face3D: Python tools for processing 3D face
  • IMDb-Face: The Devil of Face Recognition is in the Noise
  • AAM-Softmax(CCL): Face Recognition via Centralized Coordinate Learning
  • AM-Softmax: Additive Margin Softmax for Face Verification
  • FeatureIncay: Feature Incay for Representation Regularization
  • NormFace: L2 hypersphere embedding for face Verification
  • CocoLoss: Rethinking Feature Discrimination and Polymerization for Large-scale Recognition
  • L-Softmax: Large-Margin Softmax Loss for Convolutional Neural Networks
2018-07-21
  • MobileFace: A face recognition solution on mobile device
  • Trillion Pairs: Challenge 3: Face Feature Test/Trillion Pairs
  • MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
2018-04-20
  • PyramidBox: A Context-assisted Single Shot Face Detector
  • PCN: Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks
  • S³FD: Single Shot Scale-invariant Face Detector
  • SSH: Single Stage Headless Face Detector
  • NPD: A Fast and Accurate Unconstrained Face Detector
  • PICO: Object Detection with Pixel Intensity Comparisons Organized in Decision Trees
  • libfacedetection: A fast binary library for face detection and face landmark detection in images.
  • SeetaFaceEngine: SeetaFace Detection, SeetaFace Alignment and SeetaFace Identification.
  • FaceID: An implementation of iPhone X's FaceID using face embeddings and siamese networks on RGBD images.
2018-03-28
  • InsightFace(ArcFace): 2D and 3D Face Analysis Project
  • CosFace: Large Margin Cosine Loss for Deep Face Recognition

🔖Face Benchmark and Dataset

Face Recognition Data

Face Detection Data

Face Landmark Data

  • LS3D-W: A large-scale 3D face alignment dataset constructed by annotating the images from AFLW, 300VW, 300W and FDDB in a consistent manner with 68 points using the automatic method [paper] [dataset]
  • AFLW: Annotated Facial Landmarks in the Wild: A Large-scale, Real-world Database for Facial Landmark Localization(25k faces with 21 landmarks) [paper] [benchmark]

Face Attribute Data

  • CelebA: Deep Learning Face Attributes in the Wild(10k people in 202k images with 5 landmarks and 40 binary attributes per image) [paper] [dataset]

🔖Face Recognition

  • Live Face De-Identification in Video [paper]
  • UGG: Uncertainty Modeling of Contextual-Connections Between Tracklets for Unconstrained Video-Based Face Recognition [paper]
  • PDSN: Occlusion Robust Face Recognition Based on Mask Learning With Pairwise Differential Siamese Network [paper] [code]
  • Attentional Feature-Pair Relation Networks for Accurate Face Recognition [paper]
  • Probabilistic Face Embeddings [paper] [code]
  • Towards Interpretable Face Recognition [paper] [code] [project]
  • Co-Mining: Deep Face Recognition With Noisy Labels [paper]
  • Fair Loss: Margin-Aware Reinforcement Learning for Deep Face Recognition [paper]
  • Discriminatively Learned Convex Models for Set Based Face Recognition [paper]
  • DVG: Dual Variational Generation for Low Shot Heterogeneous Face Recognition [paper] [code]
  • Deep face recognition using imperfect facial data [paper]
  • Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data [paper] [code]
  • RegularFace: Deep Face Recognition via Exclusive Regularization [paper]
  • UniformFace: Learning Deep Equidistributed Representation for Face Recognition [paper]
  • P2SGrad: Refined Gradients for Optimizing Deep Face Models [paper]
  • AdaptiveFace: Adaptive Margin and Sampling for Face Recognition [paper]
  • AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations [paper] [code1] [code2]
  • Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition [paper]
  • NoiseFace: Noise-Tolerant Paradigm for Training Face Recognition CNNs [paper] [code]
  • Feature Transfer Learning for Face Recognition With Under-Represented Data [paper]
  • Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-Quality 3D Faces [paper] [code] [dataset]
  • R3 Adversarial Network for Cross Model Face Recognition [paper]
  • MLT: Face Recognition: A Novel Multi-Level Taxonomy based Survey [paper]
  • CDP: Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition [paper] [code] [project]
  • GhostVLAD: GhostVLAD for set-based face recognition [paper]
  • DocFace+: ID Document to Selfie Matching [paper] [code]
  • 2018Survey: Face Recognition: From Traditional to Deep Learning Methods [paper]
  • 2018Survey: Deep Facial Expression Recognition: A Survey [paper]
  • 2018Survey: Deep Face Recognition: A Survey [paper]
  • SphereFace+(MHE): Learning towards Minimum Hyperspherical Energy [paper] [code]
  • MobileFace: A face recognition solution on mobile device [code]
  • MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices [paper] [code1] [code2] [code3] [code4]
  • FaceID: An implementation of iPhone X's FaceID using face embeddings and siamese networks on RGBD images. [code] [blog]
  • InsightFace(ArcFace): 2D and 3D Face Analysis Project [paper] [code1]GitHub stars [code2]
  • AAM-Softmax(CCL): Face Recognition via Centralized Coordinate Learning [paper]
  • AM-Softmax: Additive Margin Softmax for Face Verification [paper] [code1] [code2]
  • CosFace: Large Margin Cosine Loss for Deep Face Recognition [paper] [code1] [code2]
  • FeatureIncay: Feature Incay for Representation Regularization [paper]
  • CocoLoss: Rethinking Feature Discrimination and Polymerization for Large-scale Recognition [paper] [code]
  • NormFace: L2 hypersphere embedding for face Verification [paper] [code]
  • SphereFace(A-Softmax): Deep Hypersphere Embedding for Face Recognition [paper] [code]
  • L-Softmax: Large-Margin Softmax Loss for Convolutional Neural Networks [paper] [code1] [code2] [code3] [code4] [code5] [code6] [code7]
  • CenterLoss: A Discriminative Feature Learning Approach for Deep Face Recognition [paper] [code1] [code2] [code3] [code4]
  • OpenFace: A general-purpose face recognition library with mobile applications [report] [project] [code1] [code2]
  • FaceNet: A Unified Embedding for Face Recognition and Clustering [paper] [code]
  • DeepID3: DeepID3: Face Recognition with Very Deep Neural Networks [paper]
  • DeepID2+: Deeply learned face representations are sparse, selective, and robust [paper]
  • DeepID2: Deep Learning Face Representation by Joint Identification-Verification [paper]
  • DeepID: Deep Learning Face Representation from Predicting 10,000 Classes [paper]
  • DeepFace: Closing the gap to human-level performance in face verification [paper]
  • LBP+Joint Bayes: Bayesian Face Revisited: A Joint Formulation [paper] [code1] [code2] [code3]
  • LBPFace: Face recognition with local binary patterns [paper] [code]
  • FisherFace(LDA): Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection [paper] [code]
  • EigenFace(PCA): Face recognition using eigenfaces [paper] [code]

🔖Face Detection

  • RetinaFace: Single-stage Dense Face Localisation in the Wild [paper] [code]
  • Group Sampling for Scale Invariant Face Detection [paper]
  • FA-RPN: Floating Region Proposals for Face Detection [paper]
  • SFA: Small Faces Attention Face Detector [paper] [code]
  • ISRN: Improved Selective Refinement Network for Face Detection [paper]
  • DSFD: Dual Shot Face Detector [paper] [code]
  • PyramidBox++: High Performance Detector for Finding Tiny Face [paper]
  • VIM-FD: Robust and High Performance Face Detector [paper]
  • SHF: Robust Face Detection via Learning Small Faces on Hard Images [paper] [code]
  • SRN: Selective Refinement Network for High Performance Face Detection [paper]
  • SFDet: Single-Shot Scale-Aware Network for Real-Time Face Detection [paper]
  • HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition [paper] [code]
  • PyramidBox: A Context-assisted Single Shot Face Detector [paper] [code]
  • PCN: Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks [paper] [code]
  • S³FD: Single Shot Scale-invariant Face Detector [paper] [code]
  • SSH: Single Stage Headless Face Detector [paper] [code]
  • FaceBoxes: A CPU Real-time Face Detector with High Accuracy [paper][code1] [code2]
  • TinyFace: Finding Tiny Faces [paper] [project] [code1] [code2] [code3]
  • MTCNN: Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks [paper] [project] [code1] [code2] [code3] [code4] [code5] [code6] [code7]
  • NPD: A Fast and Accurate Unconstrained Face Detector [paper] [code] [project]
  • PICO: Object Detection with Pixel Intensity Comparisons Organized in Decision Trees [paper] [code]
  • libfacedetection: A fast binary library for face detection and face landmark detection in images. [code]
  • SeetaFaceEngine: SeetaFace Detection, SeetaFace Alignment and SeetaFace Identification [code]

🔖Face Landmark

  • DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild [paper]
  • AWing: Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression [paper] [code]
  • KDN: Face Alignment With Kernel Density Deep Neural Network [paper]
  • Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection [paper]
  • Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks [paper]
  • PFLD: A Practical Facial Landmark Detector [paper] [project] [code]
  • PRNet: Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network [paper] [code]
  • LAB: Look at Boundary: A Boundary-Aware Face Alignment Algorithm [paper] [project] [code]
  • Face-Alignment: How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks) [paper] [project] [code1] [code2]
  • ERT: One Millisecond Face Alignment with an Ensemble of Regression Trees [paper] [code]

🔖Face Clustering

  • BCL: Video Face Clustering With Unknown Number of Clusters [paper] [code]
  • LinkageFace: Linkage Based Face Clustering via Graph Convolution Network [paper]
  • LTC: Learning to Cluster Faces on an Affinity Graph [paper] [code]

🔖Face Expression

  • FECNet: A Compact Embedding for Facial Expression Similarity [paper] [code]
  • LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences [paper]

🔖Face Action

  • Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation [paper]
  • Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection [paper]
  • TCAE: Self-Supervised Representation Learning From Videos for Facial Action Unit Detection [paper] [code]
  • JAANet: Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment [paper] [code]

🔖Face 3D

  • DF2Net: A Dense-Fine-Finer Network for Detailed 3D Face Reconstruction [paper] [code]
  • Semi-Supervised Monocular 3D Face Reconstruction With End-to-End Shape-Preserved Domain Transfer [paper]
  • 3DFC: 3D Face Modeling From Diverse Raw Scan Data [paper] [code]
  • 2DASL: Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning [paper] [code]
  • MVF-Net: Multi-View 3D Face Morphable Model Regression [paper] [code]
  • Dense 3D Face Decoding Over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders [paper]
  • Towards High-Fidelity Nonlinear 3D Face Morphable Model [paper] [project]
  • Combining 3D Morphable Models: A Large Scale Face-And-Head Model [paper]
  • Disentangled Representation Learning for 3D Face Shape [paper] [code]
  • Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking [paper]
  • MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction [paper]
  • RingNet: Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision [paper] [code] [project]
  • Boosting Local Shape Matching for Dense 3D Face Correspondence [paper]
  • FML: Face Model Learning From Videos [paper]

🔖Face GAN

Face Character

  • Face-to-Parameter Translation for Game Character Auto-Creation [paper]

Face Editing

  • SC-FEGAN: Face Editing Generative Adversarial Network With User's Sketch and Color [paper] [code]

Face De-Occlusion

  • Face De-Occlusion Using 3D Morphable Model and Generative Adversarial Network [paper] [code]

Face Aging

  • Automatic Face Aging in Videos via Deep Reinforcement Learning [paper] [blog]
  • Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks [paper]
  • SAGAN:Generative Adversarial Network with Spatial Attention for Face Attribute Editing [paper] [code]

Face Drawing

  • APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs [paper] [code]

Face Generation


Face Makeup


Face Swap


Face Other

  • Unsupervised Face Normalization With Extreme Pose and Expression in the Wild [paper] [code]
  • GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction [paper] [project]
  • HF-PIM: Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization [paper]
  • Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs [paper]
  • GANimation: Anatomically-aware Facial Animation from a Single Image [paper] [project] [code]
  • StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation [paper] [code]
  • PGAN: Progressive Growing of GANs for Improved Quality, Stability, and Variation [paper] [code1] [code2]

🔖Face Deblurring

🔖Face Super-Resolution

  • PFSR: Progressive Face Super-Resolution via Attention to Facial Landmark [paper] [code]

🔖Face Manipulation

  • Make a Face: Towards Arbitrary High Fidelity Face Manipulation [paper]
  • 3D Guided Fine-Grained Face Manipulation [paper]
  • SemanticComponent: Semantic Component Decomposition for Face Attribute Manipulation [paper] [code] [demo]

🔖Face Anti-Spoofing

  • Dataset and Benchmark: A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing [paper] [poster] [dataset]
  • Deep Tree Learning for Zero-Shot Face Anti-Spoofing [paper]

🔖Face Adversarial Attack

  • Decorrelated Adversarial Learning for Age-Invariant Face Recognition [paper]
  • Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection [paper]
  • Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition [paper]

🔖Face Cross-Modal

  • From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech [paper]
  • FRV: Face Reconstruction from Voice using Generative Adversarial Networks [paper] [code] [poster]
  • Speech2Face: Learning the Face Behind a Voice [paper] [project]
  • JFDFMR: Joint Face Detection and Facial Motion Retargeting for Multiple Faces [paper]
  • ATVGnet: Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss [paper] [code]

🔖Face Capture

Face Lib and Tool

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