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Receptive Field Is Natural Anchor

Receptive Field Is All You Need

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[Paper] [MXNet] [PyTorch]

HelloFace

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

• Recent Update
  • 2020-10-02
  • 2020-01-26
  • 2019-07-11
  • 2019-04-06
  • 2019-01-12
  • 2018-12-01
  • 2018-07-21
  • 2018-04-20
  • 2018-03-28
• Face Benchmark and Dataset
  • Face Recognition Data
  • Face Detection Data
  • Face Landmark Data
  • Face Attribute Data
• Face Recognition
• Face Detection
• Face Landmark
• Face Clustering
• Face Expression
• Face Action
• Face 3D
• Face GAN
  • Face Character
  • Face Editing
  • Face De-Occlusion
  • Face Aging
  • Face Drawing
  • Face Generation
  • Face Makeup
  • Face Swap
  • Face Other
• Face Deblurring
• Face Super-Resolution
• Face Manipulation
• Face Anti-Spoofing
• Face Adversarial Attack
• Face Cross-Modal
• Face Capture
• Face Lib and Tool

👋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

• DiF: Diversity in Faces [project] [blog]
• FRVT: Face Recognition Vendor Test [project] [leaderboard]
• IMDb-Face: The Devil of Face Recognition is in the Noise(59k people in 1.7M images) [paper] [dataset]
• Trillion Pairs: Challenge 3: Face Feature Test/Trillion Pairs(MS-Celeb-1M-v1c with 86,876 ids/3,923,399 aligned images + Asian-Celeb 93,979 ids/2,830,146 aligned images) [benckmark] [dataset] [result]
• MF2: Level Playing Field for Million Scale Face Recognition(672K people in 4.7M images) [paper] [dataset] [result] [benckmark]
• MegaFace: The MegaFace Benchmark: 1 Million Faces for Recognition at Scale(690k people in 1M images) [paper] [dataset] [result] [benckmark]
• UMDFaces: An Annotated Face Dataset for Training Deep Networks(8k people in 367k images with pose, 21 key-points and gender) [paper] [dataset]
• MS-Celeb-1M: A Dataset and Benchmark for Large Scale Face Recognition(100K people in 10M images) [paper] [dataset] [result] [benchmark] [project]
• VGGFace2: A dataset for recognising faces across pose and age(9k people in 3.3M images) [paper] [dataset]
• VGGFace: Deep Face Recognition(2.6k people in 2.6M images) [paper] [dataset]
• CASIA-WebFace: Learning Face Representation from Scratch(10k people in 500k images) [paper] [dataset]
• LFW: Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments(5.7k people in 13k images) [report] [dataset] [result] [benchmark]

Face Detection Data

• WiderFace: WIDER FACE: A Face Detection Benchmark(400k people in 32k images with a high degree of variability in scale, pose and occlusion) [paper] [dataset] [result] [benchmark]
• FDDB: A Benchmark for Face Detection in Unconstrained Settings(5k faces in 2.8k images) [report] [dataset] [result] [benchmark]

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] [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

• StyleGAN: A Style-Based Generator Architecture for Generative Adversarial Networks [paper] [code] [dataset]

Face Makeup

• BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network [paper] [code] [project] [poster]

Face Swap

• FSGAN: Subject Agnostic Face Swapping and Reenactment [paper] [code] [project]
• Faceswap: A tool that utilizes deep learning to recognize and swap faces in pictures and videos [code1] [code2]
• FUNIT: Few-Shot Unsupervised Image-to-Image Translation [paper] [code] [project]

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 Video Deblurring Using 3D Facial Priors [paper] [code]

🔖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

• High-Quality Face Capture Using Anatomical Muscles [paper]
• Monocular Total Capture: Posing Face, Body, and Hands in the Wild [paper] [code] [project]
• Expressive Body Capture: 3D Hands, Face, and Body From a Single Image [paper] [code] [project]

Face Lib and Tool

• Dlib [url] [github]
• OpenCV [docs] [github]
• Face3D [github]